Health Journal Online

Author: admin

  • The Link Between Breast Cancer and a Virus in Meat and Dairy

    The Link Between Breast Cancer and a Virus in Meat and Dairy

    Exposure to the bovine leukemia virus from meat and dairy (or a blood transfusion from those who eat meat or dairy) is a risk factor for cancer.

    In 2015, researchers in California found bovine leukemia virus (BLV) stitched into the DNA of human breast cancer tumors from mastectomies. The virus was found at much higher rates than in normal breast tissue obtained from breast reduction surgeries. Based on this difference, they calculated that as many as 37% of breast cancer cases may be attributable to exposure to BLV, likely through consuming milk or meat from infected animals.

    In response, the milk and meat industries seemed more concerned about consumer confidence than consumer cancer. But scientifically, the research priority turned to the question: Could the California results be replicated? The answer, it turns out, was yes. They were replicated among women in Iran. Replicated in Brazil. In Australia, the link was even stronger. In Texas, they found the same thing. Women diagnosed with breast cancer were found to be so much more likely to have bovine leukemia virus DNA in their breast tissue compared with women without cancer, that the attributable risk was calculated at 51.82%, indicating that this meat and dairy virus may be responsible for at least half of the breast cancer cases among the women in Texas they studied.

    All in all, six of the eight studies performed to date found the virus in human breast tissues, which “suggests strongly that BLV does infect humans, and breasts can be targets of infection.” Four of the five studies that compared infection rates in cancerous versus normal breast tissue found that the odds of detecting the virus in tumors were, on average, four times higher. How does that compare to other breast cancer risk factors? If you go on hormone replacement for five years, you can bump up your breast cancer risk by 30%. If you take birth control pills for more than a dozen years, your risk may go up by 40%. If you’re obese when you’re older, your risk can go up by 60%. Having a first-degree relative with breast cancer may double your risk. But having your breast infected with bovine leukemia virus may quadruple your risk, as you can see below and at 2:16 in my video Breast Cancer and the Bovine Leukemia Virus in Meat and Dairy.The only risk factors more potent than BLV infection were having the BRCA gene mutation, like Angelina Jolie has, or a high dose of ionizing radiation, like being in the wrong place at decidedly the wrong time, like Hiroshima and Nagasaki during World War II.

    Beyond confirmation, one study suggested that older patients had a greater likelihood of testing positive for bovine leukemia virus. That makes sense if BLV is from exposure to dairy and meat. The older we get, the more meals we’ve had—and the more opportunities to become infected over time. Researchers also discovered that the virus comes first, before the cancer diagnosis; they found it was present in some breast tissues 3 to 10 years before cancer was found. “This argues against the idea of viral invasion of already malignant cells,” quashing the theory that maybe the virus is somehow just attracted to the cancer after the fact. Could this explain the consistent findings that breast cancer tissue is more likely to harbor infection? Again, the data showed no — the virus appeared to come first. While the review doesn’t provide absolute proof that BLV is a cause of breast cancer, based on the best available balance of evidence, BLV infection does indeed appear to be a risk factor for breast cancer.

    The latest revelation is that BLV has now been found in human blood, too. This has a number of potential ramifications. Blood banks, for example, don’t screen for it. So, it’s possible you can get it from consuming meat or dairy, as well as from getting blood from someone who consumed meat or dairy. This could also mean that BLV could cause leukemia in people. It does in chimpanzees. Two infant chimps were fed milk from cows naturally infected with BLV, and both died of leukemia. We didn’t even know chimps could get leukemia. This certainly suggests the possibility of transmission or induction of leukemia through the ingestion of milk from BLV-infected cows, or blood-borne spread could carry the virus to other organs. In cattle, the virus causes blood cancers, but this may be just because dairy cattle are slaughtered and turned into hamburger when they are still so young, so maybe they don’t have time for tumors to grow in other organs.

    How concerned should we be about bovine leukemia virus? “It is not clear whether this is a good news story or a bad news story.” If future studies show that BLV does cause breast cancer in people, there will be significant repercussions for the dairy and cattle industries. But that means there is something we can do about it. Perhaps action should be taken now to eradicate the infection from cattle, rather than waiting for a final verdict. Twenty-one nations have already eradicated BLV from their dairy cattle. In contrast, the BLV prevalence in the United States just keeps increasing. If industries are not going to step up and try to eliminate the disease, then the least they could do is eliminate some of the practices that spread the disease between animals.

    BLV is spread via blood through contaminated needles, saw or gouge dehorners, ear taggers, hoof knives, tattoo pliers, nose tongs, and other tools of the agribusiness trade. Though “in view of the emerging information about BLV in human breast cancer, it is prudent to encourage the elimination of BLV in cattle, particularly in the dairy industry.” The hope is that, either way, it may help reduce the scourge of breast cancer.

    Doctor’s Note

    If you missed the previous video, see Bovine Leukemia Virus as a Cause of Breast Cancer.

    Avoiding infectious risks like BLV is another advantage of making meat without animals. See my video, The Human Health Effects of Cultivated Meat: Food Safety.



    Source link

  • Cruise Ship Hantavirus Outbreak Sends Three Passengers To Hospitals And Sparks A New Case In Switzerland

    Cruise Ship Hantavirus Outbreak Sends Three Passengers To Hospitals And Sparks A New Case In Switzerland

    Three passengers suspected of having hantavirus were evacuated from the MV Hondius cruise ship on Wednesday and transported to hospitals in the Netherlands, as Swiss authorities also confirmed a new case of the rare virus linked to the same vessel.

    The three evacuated passengers include German, Dutch, and British nationals, with the British individual being a crew member.

    Cruise operator Oceanwide Expeditions said that a medical aircraft carrying two of the patients landed in the Netherlands, while a second aircraft transporting the third patient experienced a delay; that passenger remained in stable condition, according to The Guardian.

    Swiss health authorities announced that a man who had been aboard the MV Hondius and returned home at the end of April tested positive for the Andes strain of hantavirus after seeking medical attention in Zurich. The WHO confirmed this as a third confirmed case. Swiss officials stated there was “currently no risk to the Swiss public.”

    The total number of suspected or confirmed cases has climbed to at least nine, including three deaths. Among the dead are a Dutch husband and wife, the man died aboard the ship on Apr. 11, while his wife passed away at a hospital near Johannesburg, South Africa, on Apr. 26, and a German passenger who died on board on May 2. A British passenger remains in critical but stable condition in intensive care in Johannesburg, as per CBS News.

    The Andes strain, identified in multiple cases from the ship, is primarily found in Argentina and Chile and is the only known hantavirus strain capable of human-to-human transmission, though such transmission is considered rare and typically requires very close contact.

    The MV Hondius departed from Ushuaia, Argentina, on Apr. 1 for a polar expedition cruise that included stops in Antarctica, the Falkland Islands, Saint Helena, and Ascension Island.

    Spain’s Health Minister Monica Garcia confirmed on Wednesday that the ship would dock at the port of Granadilla in Tenerife, in the Canary Islands, within three days.

    This decision was made despite pushback from local Canary Islands officials, who raised concerns about insufficient communication and the proximity of the port to local residents. Upon arrival, symptomatic passengers will be placed in quarantine, while asymptomatic passengers will be allowed to return to their home countries.

    With no approved vaccine or specific treatment for hantavirus, doctors are relying on early supportive care and intensive care unit management to improve survival rates, according to the World Health Organization.



    Source link

  • SaleHoo

    SaleHoo

    Product Name: SaleHoo

    Click here to get SaleHoo at discounted price while it’s still available…

    All orders are protected by SSL encryption – the highest industry standard for online security from trusted vendors.

    SaleHoo is backed with a 60 Day No Questions Asked Money Back Guarantee. If within the first 60 days of receipt you are not satisfied with Wake Up Lean™, you can request a refund by sending an email to the address given inside the product and we will immediately refund your entire purchase price, with no questions asked.

    (more…)

  • When Insight Isn’t Enough: An Interview with Juliana Sloane on Imagination, Hypnotherapy, and Deeper Transformation

    When Insight Isn’t Enough: An Interview with Juliana Sloane on Imagination, Hypnotherapy, and Deeper Transformation

    Meditation practice can bring remarkable clarity. Over time, practitioners often become more aware of their thoughts, emotions, and recurring patterns. But awareness alone does not always translate into change. Many meditators can clearly recognize habits of mind such as anxiety, self-criticism, or people-pleasing and still find themselves repeating the same patterns.

    Maybe it is the same relationship dynamic that keeps returning. Or the same inner voice of doubt that appears again and again during practice.

    What happens when recognizing a pattern still does not shift it?

    So what happens when recognizing a pattern still does not shift it?

    Juliana Sloane, a meditation teacher and hypnotherapist, works with practices that explore how deeper, subconscious layers of the mind and nervous system shape our behavior. In this conversation with Mindful, she discusses why understanding our patterns does not always lead to transformation, how imagination and altered states can open new pathways for change, and how mindfulness practitioners might recognize when something arising in practice is asking for deeper attention.

    Angela Stubbs: The topic I originally pitched for this conversation was “when insight isn’t enough.” Many people can recognize their patterns or understand why certain behaviors repeat in their lives. But insight alone does not always lead to real change. From your perspective, why is that?

    Most of the people who come to work with me already have a great deal of self-awareness. But despite that awareness, they still feel stuck. They cannot stop the anxiety. They cannot stop holding themselves to impossible standards. They keep entering relationships that are not right for them.

    Juliana Sloane: There are certainly situations where insight alone can be enough. Someone has an “aha” moment, something shifts internally, and the pattern loosens. But honestly, that is a fairly small percentage of cases I see, especially when it comes to deeply entrenched patterns and habits.

    Most of the people who come to work with me already have a great deal of self-awareness. They often have meditation practices, they have been to therapy, and they are interested in personal growth. They can clearly articulate what their patterns are.

    But despite that awareness, they still feel stuck. They cannot stop the anxiety. They cannot stop holding themselves to impossible standards. They keep entering relationships that are not right for them.

    These kinds of patterns are not just intellectual. They are deeply embedded habits of the mind and nervous system. People have often been repeating them for years, sometimes their entire lives. Over time those repetitions form very strong neural pathways that steer someone back into the same familiar pattern.

    Understanding the pattern can be helpful, but we also need ways to work with the deeper conditioning that keeps recreating it.

    A very common thing I hear is, “I have done a lot of work on this issue. I understand it intellectually. But something still feels stuck.”

    Angela Stubbs: How do people begin to recognize when something might need deeper exploration rather than continued observation or reflection?

    Juliana Sloane: Usually, by the time someone comes to see me, they already have a sense that something deeper is going on. A very common thing I hear is, “I have done a lot of work on this issue. I understand it intellectually. But something still feels stuck.”

    The feeling that there is ‘something deeper’ to explore is often a good sign someone might benefit from working with these layers of knowing and experience that lie further beneath the surface.

    The biggest time someone might not be ready is when they are hoping for a quick fix that doesn’t require their active participation. We’re not waving a magic wand, we’re actively engaging with the mind, body, and nervous system to create the change that’s needed.

    The work I do is about helping people develop tools to navigate their own inner worlds and access their own resources, insight, and wisdom. Ultimately, the goal is for people to feel more empowered in their own process and to realize that many of the answers they are looking for are already within them.

    Angela Stubbs: If many of these patterns live outside conscious awareness, what is happening beneath the level of the thinking mind?

    We tend to think that if we understand something intellectually we should be able to change it. But most of our behaviors and emotional responses are shaped by processes happening beyond the level of conscious thought.

    Juliana Sloane: A lot of the patterns people struggle with are operating outside conscious awareness. We tend to think that if we understand something intellectually we should be able to change it. But most of our behaviors and emotional responses are shaped by processes happening beyond the level of conscious thought.

    Over time repeated experiences form strong patterns in the mind and nervous system. Those patterns can become automatic, even to the extent that they begin to simply feel like part of who we are. Even when someone understands the pattern, they can still find themselves pulled back into it again and again.

    Awareness can help us recognize what is happening, but the deeper conditioning that drives those patterns may still be operating underneath.

    In many ways the conscious mind is only a small part of what is shaping our experience. If we are only working at that level, we are leaving a lot of the mind untouched.

    Angela Stubbs: You often use the word trance in your work. For readers who may not be familiar with that idea, what do you mean by trance?

    Juliana Sloane: When people hear the word trance, they often imagine something unusual or mysterious. And it certainly can feel magical, but that doesn’t mean it’s inaccessible. Trance is actually a very natural state of consciousness that people move in and out of all the time.

    People’s ideas about hypnosis typically come from stage shows or older models where someone appears to ‘take control’ of another person’s mind. But that is not really how modern hypnotherapeutic work functions. Hypnosis is much more collaborative and empowering than people often imagine. The person entering trance remains aware and engaged in the process the entire time.

    For example, when you are completely absorbed in a movie or a book and lose track of time, that is a kind of trance state. Your attention becomes focused and the usual analytical thinking mind quiets down.

    In those moments the mind becomes more open to imagery, emotion, intuition, and deeper layers of experience. In trance-based practices we are intentionally working with that state of focused awareness so people can explore those deeper layers of their own inner experience.

    Angela Stubbs: There are a lot of misconceptions about hypnosis. What do people often misunderstand about it?

    Juliana Sloane: People’s ideas about hypnosis typically come from stage shows or older models where someone appears to ‘take control’ of another person’s mind.

    But that is not really how modern hypnotherapeutic work functions. Hypnosis is much more collaborative and empowering than people often imagine. The person entering trance remains aware and engaged in the process the entire time.

    What happens is that the analytical thinking mind begins to relax a little. We start to get out of our own way, which allows deeper layers of the mind and our own awareness to become more available.

    Rather than controlling someone, the practitioner is helping create conditions where a person can explore their own inner experience in a different way and become an active agent of change in their own subconscious mind.

    In many modern contexts we think of imagination as something childish or unserious. But imagination is actually one of the most potent ways the mind communicates.

    Angela Stubbs: You speak about the role of imagination in this work. That can be surprising for people who tend to think of imagination as something unreal.

    Juliana Sloane: In many modern contexts we think of imagination as something childish or unserious. But imagination is actually one of the most potent ways the mind communicates.

    During a focused meditative or hypnotic process, things like imagery, metaphor, and archetype are often steeped in meaning. They’re not just ‘our imagination’ running wild, rather, they are symbols encoded with our beliefs, experiences, world view, memory, and so much more. In our day to day life, we often gloss over the power this holds. When people go into a hypnotic or trance-like state, those hidden metaphors, somatic experiences, and images naturally emerge for us to actively work with them. 

    Rather than dismissing those experiences as “just imagination,” we can begin to see them as powerful tools. Sometimes these experiences point us to deeper emotional patterns and allow us to process and integrate our experiences more fully. Sometimes they allow us agency to experience what it’s like to overcome obstacles or respond differently to things that used to trigger anxiety, self-doubt, or fear. For example, professional athletes do this all the time when they mentally rehearse breaking a record or performing at their best. Your brain doesn’t actually discriminate all that much whether you’re shooting the basket or envisioning shooting the basket– it takes that information and it runs with it. So when you’re working with a hypnotherapist, you’re using these tools to help your mind, body, and nervous system explore and integrate new options and ways of being. 

    Angela Stubbs: How do you see this work relating to mindfulness practice?

    Juliana Sloane: I don’t see this work as replacing mindfulness practice. In fact, I think mindfulness creates the foundation for this to be possible in the first place.

    Meditation helps people develop awareness of their thoughts, embodied experience, emotions, and patterns. That awareness is incredibly valuable because you cannot work with something if you don’t notice it.

    What often happens is that when people develop a meditation practice, they begin to clearly notice patterns in their thinking, reactions, and the way they approach their world. They find they can observe those patterns clearly, but it does not necessarily shift things in their day-to-day life.

    Practices that engage deeper layers of the mind can allow people to explore what might be underneath those patterns in a different way. Rather than replacing mindfulness, this kind of work can deepen the process that mindfulness begins.

    Practices that engage deeper layers of the mind can allow people to explore what might be underneath those patterns in a different way. Rather than replacing mindfulness, this kind of work can deepen the process that mindfulness begins.

    Angela Stubbs: Are there signs that something arising in practice might be inviting deeper exploration?

    Juliana Sloane: Often it is when a pattern—for example, anxiety, or self-criticism, or a repeated issue with work, relationships, or life—continues to show up again and again, even when someone is very aware of it.

    A person might recognize the pattern in meditation or in therapy. They understand where it comes from and they can see it happening in real time. But despite that awareness, it keeps repeating.

    That can sometimes be a signal that the pattern is rooted in deeper layers of the mind or nervous system.

    Those moments can become invitations to explore the pattern in a different way and to approach it with curiosity rather than trying to force it to change through understanding alone.

    Editor’s note:

    In a forthcoming article for Mindful, Juliana Sloane explores how meditation and hypnosis practices can support people living with chronic illness, including ways these approaches may help individuals relate differently to pain, fatigue, and the emotional challenges of long-term health conditions. Keep an eye on our homepage.



    Source link

  • Why Agentic AI Demands Human Expertise, Not Replacement

    Why Agentic AI Demands Human Expertise, Not Replacement

    Executive Summary

    The global healthcare BPO market reached an estimated $423–450 billion in 2026 (Fortune Business Insights; Mordor Intelligence), growing at a 10–11% CAGR, and is projected to surpass $734.86 billion by 2030 (Markets & Markets). Yet simultaneously, the US healthcare system is hemorrhaging revenue at an unprecedented rate: initial claim denial rates hit 11.8% in 2024, the average denied claim costs $25–$181 to rework, and hospitals collectively lost $25 billion to claim denials in 2025 alone (HFMA). The promise of autonomous Agentic AI to solve this crisis has proven irresistible—and dangerously premature.

    This report, drawing on the latest clinical, regulatory, and industry data, makes the definitive case for why Philippine healthcare outsourcing—built on Human-in-the-Loop (HITL) architecture powered by over 200,000 licensed clinical professionals (industry estimate 2026)—is not a stopgap before full AI automation. It is the permanent, irreplaceable architecture of high-performance healthcare operations in 2026 and beyond.

    US Healthcare Crisis Metric Current Benchmark Financial Impact Source
    Initial claim denial rate (2024) 11.8% (up from 10.2%) $25B lost in 2025 (HFMA) MDaudit / HFMA
    Cost to rework denied claim $25–$181 per claim $18B spent overturning denials (AHA 2025) AHA / MGMA 2025
    Medicare improper payments (FY2025) $28.83B at 6.55% rate (CMS FY2025) Majority from coding/documentation errors CMS Office of Inspector General
    Providers with denial rate ≥10% 41%+ as of 2025 HFMA benchmark: healthy = MGMA / HFMA Pulse Survey
    Medical billing error rate Up to 80% of bills contain errors $210B+ annual economic cost Industry consensus 2025

    The $423+ Billion Healthcare Outsourcing Market: Why the Philippines Is the Clinical Intelligence Hub

    A Structural Crisis Meets a Structural Solution

    US health systems face what economists now term the “Margin Cliff.” The 2026 median hospital expense ratio stands at 151%—meaning for every $1.00 earned, hospitals spend $1.51. This is not a management failure; it is the product of three converging forces: a domestic clinical labor shortage that has pushed RN wages 35–45% above pre-pandemic levels, an aggressive federal audit environment (the OIG 2025–2026 Work Plan specifically flagged split/shared visits, telehealth billing, and place-of-service errors), and payer AI that is increasingly sophisticated at detecting and denying claims.

    Into this environment, the Philippines has emerged not as a cost-reduction destination, but as the world’s premier Clinical Intelligence Hub. The Philippine healthcare BPO segment (Healthcare Information Management Services) generates an estimated $4.2 billion in annual revenue, employs over 200,000 specialized professionals, and is growing at 10–11% CAGR—the fastest-growing vertical in the entire $42 billion Philippine IT-BPM sector.

    Why the Philippines Holds a Clinical Moat

    Structural Advantage 2026 Data Point
    Clinical talent pipeline Over 100,000 nursing and allied health graduates annually (Philippine Statistics Authority; industry estimates vary); 200,000+ licensed nurses actively employable in BPO
    English clinical fluency #2 in Asia, EF EPI 2025 (score 569/800 — “High Proficiency”); medical documentation written to US payer standards
    Compliance maturity Widespread HITRUST CSF, HIPAA, SOC 2 Type II, ISO 27001 across specialist providers; HITRUST r2 certification = highest PHI assurance
    Cost arbitrage 50–60% below US-equivalent clinical staffing while matching or exceeding performance on key RCM metrics
    ICD-11 readiness Major Philippine hubs began mandatory ICD-11 Recertification in early 2025; dual-coding workflows deployed for zero-disruption US transition
    Denial reversal expertise Filipino-staffed Denial Defense Units achieving 82% reversal rate for clinical denials (Level 1 & 2 appeals written by licensed nurses)

    According to John Maczynski, CEO of PITON-Global, a leading BPO advisory firm: “Healthcare is a field defined by exceptions, not rules. Agentic AI is brilliant at pattern recognition, but it fundamentally lacks what I term the ‘clinical conscience’ required to navigate the nuance of complex patient cases. For SMEs especially, relying purely on AI isn’t just operationally risky—it’s a compliance landmine.”

    The Illusion of Autonomy: What the Data Actually Shows About AI in Healthcare RCM

    The Coding Accuracy Gap: From Controlled Labs to Real-World Deployments

    The marketing narrative around Agentic AI in healthcare Revenue Cycle Management (RCM) consistently conflates controlled benchmark performance with real-world deployment outcomes. The gap is not incremental—it is catastrophic for healthcare organizations that treat these numbers as equivalent.

    Even state-of-the-art large language models, when benchmarked under controlled conditions, achieve less than 50% exact match rates for medical billing codes: GPT-4 leads at 45.9% for ICD-9-CM, 33.9% for ICD-10-CM, and 49.8% for CPT codes. These numbers must be contextualized against the scale of the problem:

    • The ICD-10-CM codeset contains 72,000+ diagnosis codes, with hundreds of new codes added in the October 2025 update requiring increased specificity.
    • CPT codes exceed 10,000 procedure codes, with payer-specific modifier rules layered on top.
    • HCPCS Level II adds 7,000+ additional codes with specialty-specific applications.
    • Primary care coding achieves the highest AI accuracy at 92–97% under optimal conditions; surgical specialties with complex modifier logic require intensive human oversight.
    • Medicare Advantage denial rates for autonomously processed claims averaged 17% in 2025—more than triple the HFMA’s 5% healthy benchmark.

    The consequence: healthcare organizations deploying “autonomous” AI coding without clinical oversight are not achieving cost savings. They are accelerating denials, triggering payer audits, and creating compounding CMS exposure.

    The Human-in-the-Loop Benchmark: Side-by-Side Performance

    Clinical Workflow ⚠️ Pure Agentic AI (Unassisted) ✅ AI + Filipino Clinical Expert (HITL)
    Medical coding (complex cases) 34–50% exact match accuracy; LLMs fail on modifier logic, payer-specific rules, and documentation ambiguity 95%+ verified accuracy; Filipino nurses resolve ambiguity, apply payer-specific nuance, and validate AI suggestions against clinical documentation
    Prior authorizations High denial rate; AI lacks payer-specific exception handling; no clinical judgment on medical necessity criteria Optimized first-pass approval; clinical staff navigates payer-specific exceptions; 35–48% reduction in denial rates (PITON-Global 2025 Survey)
    Denial management Algorithmic pattern matching only; cannot write clinical appeal narratives or argue medical necessity 82% reversal rate on clinical denials (2026 benchmark); licensed nurses author Level 1 & 2 appeals with clinical coherence
    Patient triage Rigid algorithmic responses; high escalation rate; CSAT risk on emotionally sensitive interactions Clinically adaptive judgment; empathy-led communication; AI handles 65–75% routine inquiries, humans manage all clinical nuance
    Regulatory compliance Hallucination risk on code assignments; no forensic audit trail; accountability gap for CMS penalties Multi-tier human audit trail; HITRUST forensic logging for every AI output; human reviewer accepts final accountability
    Cognitive workload reduction Replaces humans entirely; eliminates clinical judgment from the loop Agentic AI lowers cognitive load by up to 52%; human experts freed for high-value judgment tasks

    “Fortune 500 healthcare organizations don’t use AI to replace people; they use it to supercharge them. The AI handles perhaps 80% of routine data entry and straightforward coding, but that critical 20% of ‘gray area’ cases—the ones that actually determine your denial rate and audit exposure—are handled by Filipino nurses and certified coders who understand the payer-specific nuances that an algorithm consistently misses,” explains Ralf Ellspermann, CSO of PITON-Global and a 25-year BPO veteran in the Philippines.

    The Data Scarcity Problem: Why SMEs Cannot Train Effective Healthcare AI

    The Volume Threshold That Separates Winners from Guinea Pigs

    Beyond algorithmic limitations lies a structural barrier that disproportionately affects smaller healthcare organizations: insufficient data volume to train effective, domain-specific AI models. Medical coding AI requires massive, diverse datasets to achieve acceptable accuracy—typically millions of coded encounters spanning multiple specialties, payer types, and documentation styles. This is not a technology problem that can be solved by purchasing better software.

    Organization Type Annual Claims Volume AI Viability Assessment
    Large health system / Fortune 500 network 500,000+ claims annually Sufficient data for model training; proprietary AI viable with dedicated Data Science team
    Mid-market hospital / regional health plan 50,000–500,000 claims annually Borderline—viable only with specialized vertical focus and data aggregation; 18–24 month build timeline
    SME / small practice / ambulatory center 10,000–50,000 claims annually Insufficient for independent model training; generic AI produces unacceptable error rates on edge cases
    Philippine BPO (pooled data) Millions of encounters across multiple clients and specialties Aggregated training data enables enterprise-grade AI accuracy; SME clients benefit from Fortune 500-level model performance

    This data scarcity creates a vicious cycle for SMEs. Organizations without sufficient training data deploy generic AI that performs poorly on complex cases, generating higher denial rates. They then either abandon AI adoption entirely—losing competitive ground—or continue operating underperforming systems that erode rather than enhance revenue cycle performance.

    Philippine BPOs break this cycle through data pooling: aggregating anonymized, HIPAA-compliant encounter data across multiple healthcare clients to build training datasets that no individual SME could generate independently. A Philippine provider processing claims for 20+ healthcare organizations simultaneously accumulates the encounter diversity that makes AI genuinely viable—then layers Filipino clinical expertise to handle the cases where even well-trained AI reaches its limits.

    “If healthcare represents just 10%, or even less, of a BPO provider’s overall business, then it will never drive their investment priorities. Specialization isn’t a marketing claim—it’s an operating reality that determines whether a provider maintains current certifications, invests in healthcare-specific AI training, and retains clinical talent,” states Maczynski.

    The Regulatory Moat: HITRUST, HIPAA, and the Accountability Architecture

    Why Autonomous AI Cannot Satisfy Regulatory Accountability Requirements

    Beyond clinical accuracy lies a challenge that autonomous AI systems are structurally incapable of resolving: regulatory accountability. When an AI makes a coding decision that leads to a data breach, a CMS audit finding, or a clinical error, determining legal responsibility becomes extraordinarily complex. The OIG has been explicit: healthcare organizations—not their technology vendors—bear ultimate accountability for billing accuracy and PHI protection.

    This creates what PITON-Global terms the “Accountability Gap”: the space between what AI systems do and what human reviewers can defend to Medicare contractors, CMS auditors, and state insurance commissioners. Leading Philippine providers address this gap through forensic audit architecture:

    • HITRUST CSF Certified status: Annual third-party assessment validating 156 control objectives across 19 domains—more rigorous than HIPAA compliance alone, incorporating ISO 27001, SOC 2 Type II, and healthcare-specific security requirements.
    • Forensic audit trails for every AI output: Every AI-generated code assignment, prior authorization decision, and patient record access is logged with human reviewer confirmation, creating a defensible chain of accountability.
    • Biometric access controls with multi-factor authentication for all PHI-regulated workflows.
    • Role-based access enforcing minimum-necessary HIPAA principles at the system level.
    • Business Associate Agreements (BAA) with every healthcare client, establishing explicit liability and breach notification protocols.
    • Dedicated HIPAA Security Officers and ongoing penetration testing.

    The HITRUST Distinction: Why Certifications Are Not Equal

    Compliance Level What It Covers Appropriate Use Case
    HIPAA Self-Attestation Provider’s own declaration of compliance; no third-party verification Minimum legal requirement only; insufficient for high-risk PHI workflows
    SOC 2 Type II Annual third-party audit of security controls; 6-month minimum observation period Strong general security assurance; appropriate for most healthcare workflows
    ISO 27001 International information security management standard; systematic risk management Global compliance signal; required by international healthcare clients
    HITRUST CSF r2 Certified Highest PHI assurance: 156 control objectives across 19 domains; healthcare-specific framework; annual third-party validated assessment Gold standard for high-volume, high-risk PHI workflows; required by sophisticated US payers and health systems

    “We don’t just source a vendor; we source a compliant ecosystem. When we evaluate Philippine healthcare BPO partners for our clients, we ensure they’re not merely ‘using AI,’ but that they possess HITRUST CSF certification and maintain a forensic audit trail for every AI-generated output. The difference between a marketing claim and verified compliance becomes crystal clear when you face your first regulatory audit,” emphasizes Ellspermann.

    Why SMEs Fail: The Plug-and-Play Fallacy and Its Financial Consequences

    The Predictable Failure Trajectory

    PITON-Global’s advisory work across 50+ healthcare client engagements has identified a recurring failure pattern that follows a consistent 18–24 month arc. Organizations acquire generic AI tools, engage budget BPO providers for nominal “oversight,” and watch denial rates escalate while compliance exposure multiplies—often without realizing the damage until a CMS audit or payer contract renegotiation forces a reckoning.

    The financial arithmetic is unforgiving. A HFMA Survey shows hospitals lose an average of 4.8% of net revenue to denials. For a community hospital with $200M in annual revenue, that is $9.6M in annual denial-related losses. The Advisory Board estimates that data-driven denial prevention can recover up to $10M per $1B in patient revenue—meaning the difference between a functional and dysfunctional RCM operation is not marginal. It is existential.

    The Fortune 500 Healthcare AI Strategy vs. Common SME Mistakes

    Strategy Component ⚠️ Common SME Approach ✅ Elite Provider / Fortune 500 Approach
    Data utilization Unstructured data fed directly into generic AI models; no sanitization or specialty labeling Sanitized, labeled data prepared by clinical analysts; specialty-specific training datasets updated quarterly
    Vendor selection Generalist BPO claiming broad AI capability; healthcare represents Boutique healthcare BPO deriving 35–100% of revenue from healthcare; HITRUST r2 certified; specialty-matched clinical talent
    Quality oversight Relying on AI dashboard metrics; no clinical auditing of AI decisions Dedicated QA team auditing AI decisions against clinical standards; Filipino RNs reviewing every ambiguous code assignment
    Success metric Lowest cost per claim processed; “age of A/R” without denial root-cause analysis First-pass approval rate; net collection rate >95%; denial rate
    Compliance model Vendor self-attestation; HIPAA BAA as sole control HITRUST r2 validated; SOC 2 Type II annual audit; penetration testing; forensic logging for all AI outputs
    AI implementation timeline Immediate deployment promises; “plug-and-play” configuration in days or weeks Structured 12-week deployment framework: EHR integration, payer portal mapping, NLP training, clinical staff AI augmentation

    The Architecture of Intelligent Healthcare Outsourcing: A 2026 Blueprint

    What Best-in-Class Philippine Healthcare BPO Looks Like

    The Philippine healthcare outsourcing sector has evolved beyond simple labor arbitrage. Leading providers now operate as Technology-Enabled Clinical Service Organizations, deploying a layered architecture that combines AI velocity with human clinical truth:

    • Agentic AI Layer: Autonomous data extraction, preliminary code assignment, eligibility verification, and routine validation—handling 70–80% of high-frequency, low-complexity cases with sub-2% error rates when properly grounded in domain-specific RAG stacks.
    • Filipino Clinical Expert Layer: Licensed nurses, certified medical coders (CPC, CCS, RHIA), and clinical documentation specialists reviewing all AI outputs, resolving 20–30% of ambiguous cases that determine claim approval rates, and authoring clinical appeal narratives.
    • AI Governance Layer: Dedicated HIPAA Security Officers, Prompt Engineers maintaining model accuracy, and Clinical Conscience reviewers who intervene when AI outputs contradict documented clinical evidence.
    • Forensic Accountability Layer: HITRUST-compliant audit trails, human reviewer sign-off on all final code submissions, and real-time anomaly detection for coding pattern drift.
    • Continuous Learning Loop: Philippine clinical experts’ corrections fed back into AI training datasets, improving model performance on specialty-specific edge cases over time.

    Performance Benchmarks: What This Architecture Delivers

    Metric Industry Average (US In-House) Best-in-Class Philippine HITL Architecture
    Clean claim rate 85–88% (industry median) 92–97% (AI-augmented with Filipino clinical oversight)
    Initial denial rate 11.8–15% (2025 data) 35–48% reduction vs. baseline in 12 months
    A/R days 40–50 days (industry average) Target
    Clinical denial reversal rate ~57% (Medicare Advantage baseline) 82% reversal rate with Filipino licensed nurse appeals
    Cost vs. US equivalent staffing Baseline (100%) 50–60% reduction while matching or exceeding performance
    Implementation ramp (50-FTE team) 3–6 months for equivalent US team 8–12 weeks, including HIPAA cert and brand immersion (2026 benchmark)

    The Vertical Matching Imperative: Why Specialization Determines Everything

    One of the most consequential decisions in healthcare outsourcing is not which technology to deploy—it is which specialty to match with which provider. AI accuracy, denial rates, and audit exposure vary dramatically by specialty:

    Clinical Specialty AI Coding Accuracy (Optimal Conditions) HITL Accuracy (Filipino RN + AI) Primary Risk Factors
    Primary care / evaluation & management 92–97% 98–99% E/M documentation level, 2026 CMS rule changes
    Radiology / pathology 88–93% 97–98% Modifier logic, technical vs. professional components
    Cardiology / interventional 72–80% 95–97% Complex modifier layering, implant billing
    Surgical specialties 65–75% 93–96% Bundling rules, assistant surgeon, anesthesia
    Behavioral health / psychiatry 60–70% 92–95% Parity law compliance, crisis intervention codes
    Home health / hospice / SNF 55–68% 91–94% RAP/NOA timing, OASIS scoring, therapy thresholds

    “An AI doesn’t have a medical license, and it doesn’t answer to a board of directors. It can’t testify before auditors or explain clinical reasoning to Medicare contractors. The reason our clients succeed with Philippine outsourcing isn’t that they’ve found cheaper automation—it’s that they’ve architected intelligent systems combining AI speed with world-class clinical expertise from Philippine teams. We use AI for velocity, but we rely on human experts for truth. That distinction determines everything,” notes Maczynski.

    The Expert Sourcing Framework: 7 Criteria for Evaluating Philippine Healthcare Outsourcing Partners

    For US healthcare organizations evaluating Philippine outsourcing partners, the decisive factor is not country selection—it is supplier selection discipline. PITON-Global’s forensic vendor evaluation process, developed across 500+ healthcare client engagements, distills to seven non-negotiable criteria:

    Criterion 1: Healthcare Revenue Concentration

    True healthcare specialists derive 35–100% of total revenue from healthcare services. Providers where healthcare represents less than 20% of revenue will never make healthcare-specific AI, compliance, or talent investments a strategic priority. Verify through audited financial disclosures or client reference validation.

    Criterion 2: HITRUST r2 Certification (Not Self-Assessment)

    Distinguish between HITRUST self-assessments and HITRUST r2 validated certifications. Only r2 certifications involve third-party validation of 156 control objectives—the level of assurance required for high-volume PHI workflows. Confirm certification currency (annual renewal) and scope (does it cover your specific workflow types?).

    Criterion 3: Clinical Talent Depth and Certification Profile

    Require documented evidence of: certified medical coders (CPC, CCS, RHIA) in your specific specialty; licensed nurses for clinical documentation review and prior authorization; and specialty-specific training programs updated for 2026 ICD-10/CPT revisions and ICD-11 preparation.

    Criterion 4: Human-in-the-Loop Architecture Documentation

    Request workflow diagrams—not concept slides—showing exactly where human review checkpoints occur in AI-assisted coding, authorization, and billing processes. Any provider that cannot produce this documentation is operating without HITL architecture, regardless of marketing claims.

    Criterion 5: First-Pass Approval Rate (Not Cost Per Claim)

    The metric that matters is the percentage of claims approved without additional documentation or appeals—not cost per claim processed. Request 12-month first-pass approval rate data by payer type, disaggregated by specialty. Compare against the HFMA benchmark of >95% clean claim rate.

    Criterion 6: Denial Reversal Infrastructure

    Ask specifically: Who writes your Level 1 and Level 2 appeal letters? What is your documented reversal rate on clinical denials? Elite Philippine providers staff Denial Defense Units with licensed nurses are achieving 82% reversal rates—a credential that separates genuine clinical expertise from administrative processing.

    Criterion 7: AI Governance and Hallucination Controls

    Require documentation of: hallucination rate measurement methodology; AI output auditing frequency; Prompt Engineering team composition; and the escalation protocol when AI produces a code assignment that contradicts clinical documentation. Any provider that cannot answer these questions is not operating a governed AI environment.

    Clinical Truth Cannot Be Automated

    The evidence from 2026 is unambiguous. Autonomous Agentic AI, deployed without clinical oversight in healthcare revenue cycle management, produces denial rates, audit exposure, and compliance risk that no cost savings can justify. This is not a temporary limitation of current AI generations—it is a structural reflection of healthcare’s fundamental nature: a domain defined by exceptions, not rules, where context determines correctness and clinical judgment determines revenue.

    Philippine healthcare outsourcing, architected around the Human-in-the-Loop principle, represents the resolution of what appeared to be an impossible tradeoff: enterprise-grade clinical capability at 50–60% below US cost, with superior RCM performance metrics, HITRUST-certified compliance architecture, and a talent pipeline of 120,000 clinical graduates annually that hardly any competing destination can replicate.

    The question for US healthcare organizations in 2026 is not whether to outsource—the Margin Cliff has made that decision for most. The question is whether to pursue autonomous systems that lack clinical conscience, or intelligent architectures where AI provides velocity and Filipino clinical experts provide truth. Four decades of healthcare outsourcing evolution have produced one consistent conclusion: technology amplifies capability. It cannot substitute for clinical judgment. And in healthcare, the difference between those two things is measured in dollars, patient outcomes, and regulatory survival.

    “The reason our clients succeed isn’t that they’ve found cheaper automation. It’s that they’ve built intelligent systems where AI handles pattern recognition at scale, and Filipino clinical experts handle everything that requires judgment, conscience, and accountability. That’s not a transitional model. That’s the permanent architecture of high-performance healthcare operations,” concludes Maczynski.

    Key Data Points at a Glance: Healthcare Outsourcing Philippines 2026

    $424.76B
    Global Healthcare Outsourcing Market 2026 (10–11% CAGR)    		 $25B
    US Hospitals Lost to Claim Denials in 2025 (HFMA)    		 200,000+
    Licensed Philippine Clinical Professionals in BPO
    34–50%
    AI Coding Accuracy: Complex Cases (Unassisted LLMs)    		 95%+
    Verified Accuracy: AI + Filipino Clinical Expert (HITL)    		 82%
    Clinical Denial Reversal Rate: Filipino Nurse Appeals

    Source link

  • Developmental Monitoring and Screening | Learn the Signs. Act Early.

    Developmental Monitoring and Screening | Learn the Signs. Act Early.

    Developmental monitoring

    Developmental monitoring is observing how a child grows and changes over time to see whether they are reaching developmental milestones in how they play, learn, speak, act, and move at each age. Parents, grandparents, early childhood providers, and other caregivers can participate in developmental monitoring. You can use a brief checklist of milestones to see how a child is developing. If you notice that your child is not meeting a milestone, talk with your child’s doctor.

    When you take your child to their doctor for each well-child visit, talking about child development is important. Your child’s healthcare provider will ask questions about their development while interacting with your child to see if they are meeting milestones that most children their age can do. A missed milestone could be a sign of a developmental delay. If your child is missing a milestone, or if either of you have concerns about how they are developing, the doctor may do a developmental screening test as the next step. By asking questions and sharing any concerns you might have with your child’s doctor, you can understand how your child is doing, and learn ways to support your child’s development.

    Download CDC’s free Milestone Tracker App

    Milestone tracker app badge
    Help your child grow and thrive with CDC’s FREE Milestone Tracker app.

    Developmental screening

    Developmental screening takes a closer look at how your child is developing. The tools used for developmental screening are formal questionnaires or checklists based on research that ask questions about a child’s development, including language, movement, thinking, behavior, and emotions. Developmental screening can be done by your child’s health care provider, and by other professionals in healthcare, early childhood education, community, or school settings who have been trained in using these tools.

    Developmental screening is more formal than developmental monitoring and is recommended for all children at specific ages.

    The American Academy of Pediatrics (AAP) recommends developmental screening for all children during regular well-child visits at least at these ages1:

    • 9 months
    • 18 months
    • 30 months

    In addition, AAP recommends that all children be screened specifically for autism during regular well-child visits at:

    If your child misses one of these well-child visits, or a screening was not done at those times, it should be completed at the next visit. Your child should also receive a screening at other times if you or your child’s doctor have a concern about their development.

    If your child’s healthcare provider does not periodically check your child with a developmental screening test, you can ask them to do so.

    Developmental monitoring and screening

    Why developmental monitoring and screening are important

    Identifying developmental delays and disabilities early helps children and families. Developmental monitoring and screening work together to help identify developmental concerns, so that children and families can get the services and supports they need as early as possible.

    Early developmental intervention services support the child, helping them at home, in school, and in the community.

    Developmental disabilities are common. In the United States, about 1 in 6 children aged 3 to 17 years has one or more developmental disabilities, such as autism or attention-deficit/hyperactivity disorder.

    Early intervention and follow-up

    When a developmental concern is identified, further evaluation through the state’s early intervention system is often the next step. Healthcare providers, and anyone who works with young children, can refer families to early intervention for assessment. Families can also refer themselves directly.

    Connecting to the early intervention system will lead to more steps to assess the child’s development. Depending on those results, the child may be eligible to receive services from the program to help the family support their child’s development.

    Each state and territory has their own system for children who are eligible.

    • State early intervention programs usually provide developmental services for children from birth to 3 years of age, with some states also serving older children
    • Local public school systems typically provide developmental services and support for children age 3 years and older

    This early intervention page provides a brief overview of services and eligibility processes, along with key contacts for each state and territory.

    Although early intervention is important, intervention at any age can be helpful. Contact your child’s doctor or your state program if you have any concerns about your child’s development.

    Source link

  • Could Bovine Leukemia Virus be a Cause of Breast Cancer?

    Could Bovine Leukemia Virus be a Cause of Breast Cancer?

    As many as 37% of breast cancer cases may be attributable to exposure to the bovine leukemia virus.

    The incidence of breast cancer continues to increase worldwide. In the United States, this amounted to a 40% increase in the incidence by the turn of the century. Presently, the main approach to preventing mortality is early detection and treatment. That’s important, but why not focus more on primary prevention—protecting people from risk factors so they don’t develop breast cancer at all?

    “Overall, it is estimated that 20% of all human cancers have an infectious origin.” Viruses can trigger cancer by turning on cancer genes or turning off cancer-suppressing genes, but they can also contribute to tumor formation just by causing chronic inflammation. Currently, cancer-causing viruses are considered “the major plausible hypothesis for a direct cause of human breast cancer.” How did we get here?

    It all started about 40 years ago when a professor of virology at UC Berkeley learned how the mammary tumor virus was discovered in mice. Scientists switched baby mouse pups from mothers with a high incidence of mammary cancer with the babies from mouse strains with a low incidence and found that the cancer incidence in pups matched their foster mothers’—not their biological ones’—showing it wasn’t genetic. “It occurred to me that humans are foster nursed on the cow,” the professor said.

    Bovine leukemia virus (BLV) had just been identified as a cancer-causing cow virus. At the time, only about 10% of U.S. dairy cows were infected, but now it’s closer to half. Initially, 66% of herds were affected. Then, it was more like 80%, based on their milk testing positive for the virus, and 100% of the herds in the larger industrial farms. And now, more than 94% of U.S. herds are affected, continuing the historical trend of BLV persistently proliferating within U.S. dairy herds.

    We’ve long known that people in countries that consume the most milk have the highest breast cancer incidence. But, as you can see below and at 2:32 in my video, Bovine Leukemia Virus as a Cause of Breast Cancer, the link between dairy consumption and breast cancer incidence isn’t only on the country level.Individual women who are lactose intolerant and consume less dairy also seem to have decreased risk of breast cancer. Milk contains many things that could be contributing to the cancer risk, such as saturated fat and the presence of cancer-promoting growth hormones like IGF-1.

    Yes, we know bovine leukemia virus is present in beef and dairy products. About half of the milk and meat samples turn up positive for the virus. In fact, you can sample the virus straight out of the air on dairy farms, on surfaces, and in the milk itself. Most milk is pasteurized, but many dairy products, like raw, aged cheeses, are not. And who hasn’t eaten a pink-in-the-middle hamburger at some point in their life?

    Yes, we have evidence that people are exposed to the virus. Yes, we have evidence that people are actively infected with the virus. But it wasn’t until 2015 that we learned infection rates were highest in cancerous breast tissue, as you can see below and at 3:30 in my video.So much so that as many as 37% of breast cancer cases may be attributable to exposure to the bovine leukemia virus.

    That was enough for me to make a whole series of videos on the role the virus plays in breast cancer and how the meat and dairy industries responded to the news. What’s the latest update? That’s what I’ll cover next.

    Doctor’s Note

    You may remember that I’ve previously discussed The Role of Bovine Leukemia in Breast Cancer and the Industry Response to Bovine Leukemia Virus in Breast Cancer.

    Stay tuned for the next video: Breast Cancer and the Bovine Leukemia Virus in Meat and Dairy.



    Source link

  • Does Skipping Meals Help You Lose Weight or Slow Metabolism? What You Need to Know

    Does Skipping Meals Help You Lose Weight or Slow Metabolism? What You Need to Know

    Skipping meals is often seen as a quick shortcut for weight loss because it reduces daily calorie intake. In the short term, it can create a calorie deficit, which is necessary for fat loss. However, the body doesn’t simply burn fat without consequences. When you skip meals, your system responds by adjusting energy use, hunger levels, and hormone balance. This can make weight management more complicated than it appears.

    While some people try to skip meals to lose weight, this habit may backfire over time. Hunger hormones can spike, leading to overeating later, while metabolism may slow down to conserve energy. Nutrition for weight loss is not just about eating less—it’s about eating smart. Sustainable fat loss requires consistency, balanced meals, and strategies that support both metabolism and overall health.

    Skipping Meals Metabolic Impact Short Long Term

    Skipping meals can negatively affect weight loss by triggering metabolic adaptation, where the body reduces energy expenditure to conserve calories. This means that even if you initially lose weight, your metabolism may slow down, making further fat loss more difficult. According to Banner Health, skipping meals can lead to reduced energy levels and a slower metabolism, which may counteract weight loss efforts over time.

    Another key issue is the disruption of hunger hormones, which directly affects fat loss and eating behavior. When you skip meals, ghrelin levels increase, making you feel hungrier, while leptin decreases, reducing satiety. This imbalance often leads to overeating later in the day, canceling out the calorie deficit. As a result, trying to skip meals to lose weight may create a cycle of restriction and overconsumption, making consistent fat loss harder to achieve.

    Skipping meals also contributes to muscle protein breakdown, especially when protein intake is inadequate. During long gaps without food, the body may use muscle tissue for energy, which reduces lean mass. Since muscle plays a major role in metabolism, losing it can slow calorie burning and impact long-term weight loss. This highlights why proper nutrition for weight loss should include regular meals with enough protein rather than relying on inconsistent eating patterns.

    Weight Loss Intermittent Fasting vs Continuous Deficit

    Intermittent fasting is a structured way to skip meals to lose weight, but it differs from random meal skipping because it follows a consistent schedule. Methods like the 16:8 approach limit eating to a specific time window, helping reduce calorie intake while still supporting fat loss.

    A continuous calorie deficit focuses on lowering daily intake in a steady, predictable way. This supports gradual weight loss while keeping energy levels stable. Based on a study conducted by the National Institutes of Health via PubMed, consistent calorie restriction can be effective for fat loss while reducing extreme metabolic adaptation.

    Both approaches can work, but consistency matters most. Unstructured skipping meals often leads to hunger and poor adherence. Nutrition for weight loss works best when it prioritizes balance, whether through intermittent fasting or regular meals.

    Nutrition for Weight Loss Sustainable Strategies Beyond Skipping

    Nutrition for weight loss is about building habits that support fat loss while protecting your metabolism. According to the National Institutes of Health, balanced nutrition and adequate energy intake are essential for maintaining metabolic health and preventing muscle loss. Instead of relying on skipping meals, focusing on sustainable strategies leads to better long-term results.

    • Protein Intake for Fat Loss and Muscle Preservation: Increasing protein intake supports fat loss by helping maintain muscle mass and improving satiety. Protein also has a higher thermic effect, meaning your body burns more calories digesting it compared to fats or carbohydrates. This makes it easier to stay in a calorie deficit without extreme restriction or skipping meals.
    • Diet Breaks and Refeed Periods for Metabolic Support: Using planned diet breaks helps prevent metabolic adaptation and keeps energy levels stable. Temporarily increasing calories to maintenance levels can restore hormone balance and support performance. This strategy allows your body to recover while still progressing toward weight loss goals.
    • Behavioral Consistency for Long-Term Success: Building consistent habits is key to sustainable nutrition for weight loss. Practices like meal planning, mindful eating, and food tracking improve adherence and reduce overeating. Instead of trying to skip meals to lose weight, focusing on routine makes fat loss more manageable and long-lasting.
    • Balanced Macronutrient Intake for Energy and Satiety: A proper balance of protein, carbohydrates, and fats supports steady energy levels and reduces cravings. Carbohydrates fuel daily activity, while healthy fats help regulate hormones linked to hunger. This balance improves adherence and makes it easier to maintain a consistent calorie deficit.
    • Meal Timing and Regular Eating Patterns: Eating at regular intervals helps regulate hunger hormones and prevents extreme hunger later in the day. Consistent meal timing can improve satiety and reduce the urge to overeat. This approach supports both fat loss and metabolic stability without the need to skip meals.

    Sustainable Fat Loss Framework Beyond Meal Skipping

    Skipping meals may seem like a simple way to lose weight, but it often creates more challenges than benefits in the long run. While it can lead to a short-term calorie deficit, it may also slow metabolism, increase hunger, and reduce muscle mass. These effects can make weight loss less predictable and harder to sustain.

    A more effective approach focuses on consistency, balanced nutrition, and realistic habits. By prioritizing protein intake, maintaining a steady calorie deficit, and avoiding extreme restriction, you can support long-term fat loss. Nutrition for weight loss works best when it aligns with your lifestyle, helping you achieve lasting results without compromising your health.

    Frequently Asked Questions

    1. Is skipping meals a good way to lose weight quickly?

    Skipping meals can reduce calorie intake, leading to short-term weight loss. However, it often increases hunger and may cause overeating later. This can cancel out the calorie deficit created earlier in the day. Sustainable weight loss usually works better with consistent eating patterns.

    2. Does skipping meals slow down metabolism?

    Yes, skipping meals can lead to metabolic adaptation over time. The body may reduce its energy expenditure to conserve calories. This makes it harder to continue losing weight. Maintaining regular meals helps support a stable metabolism.

    3. Is intermittent fasting better than skipping meals randomly?

    Intermittent fasting is more structured and can be more effective than random meal skipping. It provides a clear eating schedule that helps control calorie intake. Random skipping often leads to inconsistent results and overeating. Structure plays a key role in success.

    4. How can I lose fat without skipping meals?

    You can lose fat by creating a moderate calorie deficit through balanced meals. Focus on protein intake, portion control, and consistent eating habits. Regular meals help manage hunger and maintain energy levels. This approach supports long-term fat loss and better overall health.



    Source link

  • I Used AI to Reach a Lifelong Body Goal: How You Can Use it to Power

    I Used AI to Reach a Lifelong Body Goal: How You Can Use it to Power

    Product Name: I Used AI to Reach a Lifelong Body Goal: How You Can Use it to Power

    Click here to get I Used AI to Reach a Lifelong Body Goal: How You Can Use it to Power at discounted price while it’s still available…

    All orders are protected by SSL encryption – the highest industry standard for online security from trusted vendors.

    I Used AI to Reach a Lifelong Body Goal: How You Can Use it to Power is backed with a 60 Day No Questions Asked Money Back Guarantee. If within the first 60 days of receipt you are not satisfied with Wake Up Lean™, you can request a refund by sending an email to the address given inside the product and we will immediately refund your entire purchase price, with no questions asked.

    (more…)

  • Cultivating Courage and Confidence in Motherhood

    Cultivating Courage and Confidence in Motherhood

    My memories of motherhood are filled with moments of self-doubt. No mother alive doesn’t go through some self-doubt. Given all of the ideas of what is best for children, it is easy to doubt your decisions. From the mundane to the seemingly “big decisions,” it is easy to spiral into negative emotion doubting ourselves. 

    A client of mine spent some time talking with me about the fact that she and her son and husband didn’t have a ritual for dinner together. It made sense for her family and their schedule that her son ate before her husband got home, yet nearly every day she would have thoughts of doubt about whether that was really okay. Turns out it was just fine, as now he is a wonderful young adult and they are very close. It seems silly looking back that we can get so hung up on things like this but it’s easy to do. How do we know it’s going to be okay?

    Magazines, newspapers, and websites often produce stories out of research findings that show how some action or behavior is linked to some outcome, even when there is no definitive evidence that it was the cause for the outcome. The best test of how something works for your family is how it works for your family, over time!

    How nice it would be to have a crystal ball to be able to know for sure that any given choice would be the “right choice,” and that everything would turn out okay. The mind can blow things way out of proportion and make the risk to their development and well-being seem enormous. In our grasping for certainty and our fear of our doubt, we may create a lot of optional suffering. It is helpful to kindly remind yourself that kids are resilient and that you can be too. You can always make new choices after seeing the outcome.

    When Fear Is Present

    Like self-doubt, fear is another major topic in parenting. From the barrage of news reports about terrible things happening to children, mass shootings, catastrophic weather events, wars, etc., there is plenty to fearfully focus on. Add to that “time travel” in the mind, thoughts of what might or could happen, and that’s a whole lot of optional suffering in motherhood. Using mindfulness, especially a regular practice of mindfulness of thoughts and feelings, can help you step out of autopilot to see if you are actually suffering unnecessarily.

    You can shift the focus of your mind at any time. Fear is not a sign that the feared outcome is going to happen. Trying to imagine how you would face something you are afraid of that isn’t happening right now is often a waste of energy and can lead to self-condemnation. My favorite mantras, “Just this moment,” and “Just here, just now,” really help me to get out of my mind and get back into the flow of life. When you find yourself trying to “think it away,” you have to choose to redirect the mind to just be with now, to be with what is right in front of you and let fear fade into the background. It may arise again, and you can refocus again.

    I have come to understand that when fear is present, I must dig deep to move toward the thing I value. I don’t need to be rid of the fear to get through it.

    I have come to understand that when fear is present, I must dig deep to move toward the thing I value. I don’t need to be rid of the fear to get through it. I can decide to dig deep anyway, giving myself positive self-talk along the way.

    Uncovering Your Courage 

    Being brave or having courage is often described in a way that looks like having no fear. Motherhood calls for courage from the very beginning. We may go into it with sweet ideas, but we soon come to see how much we are needing to face that’s frightening or intimidating. Just like with appreciation, it is useful to stop and recognize where you were courageous. Acknowledging when you were afraid and did stuff anyway helps grow a sense of confidence.

    A client of mine was worried about whether she could be brave in the face of helping her four-year old daughter through a surgery and an overnight stay at the hospital. She noticed that she often took her fearful thoughts to mean that she wouldn’t be brave. They were some kind of bad sign. If she thought these things now, how could she do it?

    Anxious anticipation can undermine any of us.

    She also felt terrible about herself for dreading it. I encouraged her to validate herself, when she noticed the dread, by saying, “This is really hard. It’s okay.” She found it really helpful to acknowledge that simple fact, rather than to indict herself as a bad mother for all of the fear and negative thoughts. No one wants to go through hard things, and there is so much that is hard. It’s really okay to acknowledge it.

    Choosing to Be Brave

    I will always remember one of the more profound moments when I decided to be brave; where I showed myself that I could be courageous. I was finishing up the bath with my toddler son when I heard my toddler daughter fall in the other room. I ran to see her and found she had fallen and split her chin open. Blood was everywhere and I was freaked out. Here was one of the moments as a mother I had feared I wouldn’t be up to when it finally arrived. I was terrified.

    Despite the urge to cry and run the other way, I soothed her and cleaned her up anyway. After calling the pediatrician’s office who recommended I take her to the emergency room to see if she needed stitches, I called my husband to tell him to drop everything and come home. I told my husband he would be going to the ER with her!

    We can choose again and again to turn toward what we want for ourselves or our child, regardless of the mind’s first reaction.

    It dawned on me a few minutes after I hung up with him that I wanted my kids to see me be strong. I wondered what kind of message I would be sending my daughter, who was leaning on me and my soothing, if I sent her off with her dad who had just come home from being gone all day. Certainly, it wouldn’t have hurt her, but I realized here was an opportunity.

    So, as much as I dreaded it, I asked my husband to stay with our son and I took her to the ER. A few stitches and several hours later we were back home and doing fine. Courage and confidence are not something you have or not. Remember the growth mindset. We can choose again and again to turn toward what we want for ourselves or our child, regardless of the mind’s first reaction.

    When we string together moments like that, those choices lead to courage and confidence. Another gift of motherhood! Where I once went running away, I tamed my fears of spiders, bees, and snakes as well! Motherhood can show us how brave we can be.

    Excerpt reproduced with author’s permission from Just This Moment: A Guide for Moms Who Want to Enjoy Parenting, Raise Great Kids and THRIVE! by Elizabeth Torres, Psy.D. ABPP. (2019). 

    Mindfulness for Kids 

    When we teach mindfulness to kids, we equip them with tools to build self-esteem, manage stress, and skillfully approach challenges. Explore our guide on how to introduce mindfulness and meditation to your children—at any age. Read More 

    • Mindful Staff
    • June 11, 2020

    No posts found



    Source link