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    The Future of Healthcare Consumerism

    The Future of Healthcare Consumerism

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    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    July 1, 2025

    The cost structure of hospitals nearly doubles

    July 1, 2025
    Navigating the Medical Licensing Maze

    The Fight Against Healthcare Fraud: Dr. Rafai’s Story

    April 8, 2025
    Navigating the Medical Licensing Maze

    Navigating the Medical Licensing Maze

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    January 18, 2026
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    Public Confidence in Proposed Changes to U.S. Vaccine Policy

    January 3, 2026

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    Can you tell when your provider does not trust you?

    Can you tell when your provider does not trust you?

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    May 8, 2024
    Which health policy issues matter the most to Republican voters in the primaries?

    Which health policy issues matter the most to Republican voters in the primaries?

    May 14, 2024
    How strongly do you believe that you can tell when your provider does not trust you?

    How strongly do you believe that you can tell when your provider does not trust you?

    May 7, 2024
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    The Future of Healthcare Consumerism

    The Future of Healthcare Consumerism

    January 22, 2026
    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    July 1, 2025

    The cost structure of hospitals nearly doubles

    July 1, 2025
    Navigating the Medical Licensing Maze

    The Fight Against Healthcare Fraud: Dr. Rafai’s Story

    April 8, 2025
    Navigating the Medical Licensing Maze

    Navigating the Medical Licensing Maze

    April 4, 2025
    The Alarming Truth About Health Insurance Denials

    The Alarming Truth About Health Insurance Denials

    February 3, 2025
  • Surveys

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    Patient Survey: Understanding Healthcare Consumerism

    Patient Survey: Understanding Healthcare Consumerism

    January 18, 2026
    Public Confidence in Proposed Changes to U.S. Vaccine Policy

    Public Confidence in Proposed Changes to U.S. Vaccine Policy

    January 3, 2026

    Survey Results

    Can you tell when your provider does not trust you?

    Can you tell when your provider does not trust you?

    January 18, 2026
    Do you believe national polls on health issues are accurate

    National health polls: trust in healthcare system accuracy?

    May 8, 2024
    Which health policy issues matter the most to Republican voters in the primaries?

    Which health policy issues matter the most to Republican voters in the primaries?

    May 14, 2024
    How strongly do you believe that you can tell when your provider does not trust you?

    How strongly do you believe that you can tell when your provider does not trust you?

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The Rise of the Quantified Self: How Continuous Glucose Monitoring Is Reshaping Health from the Inside Out

Once reserved for Type 1 diabetics, continuous glucose monitors are now becoming a mainstream tool in the growing landscape of personalized health, marking a cultural and clinical shift in how we approach metabolism, wellness, and disease prevention.

Ashley Rodgers by Ashley Rodgers
May 9, 2025
in Trends
0

The future of health may already be sitting on your arm—small, circular, and constantly collecting data. Once a specialized tool for individuals with Type 1 diabetes, continuous glucose monitors (CGMs) have become the latest frontier in the evolution of personalized health tracking. Worn discreetly on the upper arm or abdomen, these devices continuously measure blood sugar levels in real time, providing users with a dynamic portrait of their body’s metabolic rhythms.

At first glance, CGMs might seem like just another addition to the growing wave of digital health gadgets—Fitbits for the metabolically concerned. But their rapid adoption tells a larger story: one in which the lines between medical necessity and lifestyle optimization are increasingly blurred.

In 2023 alone, sales of CGMs grew by more than 30%, according to market research firm Grand View Research, with the global market expected to surpass $25 billion by 2030. Much of this growth comes not from traditional diabetic populations, but from so-called “health seekers”: wellness influencers, fitness enthusiasts, biohackers, and tech-savvy individuals eager to quantify their physiological responses to everything from coffee to sleep.

This trend reflects a broader shift toward “metabolic awareness”—the idea that our glycemic responses can provide a real-time window into our overall health, well before clinical diagnoses occur. It’s a concept that resonates deeply in a health culture increasingly focused on prevention, personalization, and performance.

“CGMs are no longer just for managing disease,” explains Dr. Kevin Hall, a researcher at the National Institutes of Health. “They’re part of a new wave of data-driven self-care, where individuals use continuous feedback to fine-tune diet, exercise, and lifestyle choices. But that raises important questions about utility, equity, and evidence.”

Indeed, companies like Levels, Nutrisense, and Veri have emerged to capitalize on this space, offering subscription-based CGM services bundled with app interfaces, diet coaching, and personalized health insights. These startups market their products as tools for “glucose optimization,” arguing that even non-diabetics can benefit from monitoring postprandial spikes and minimizing metabolic variability.

Yet the science behind this democratization of CGM use is not fully settled. While glycemic control is undeniably important for health, experts caution against overinterpreting data without proper context. Glucose fluctuations, for example, are normal after meals, and not all spikes are inherently harmful. Misinterpreting this information can lead to unnecessary food restrictions, anxiety, and even orthorexia-like behavior.

“We’re seeing a kind of metabolic perfectionism emerge,” says Dr. Fatima Khan, an endocrinologist at the University of Toronto. “The idea that every glucose rise is dangerous or that there’s one ideal curve to follow isn’t backed by robust clinical evidence. For people with diabetes, CGMs are a lifesaving tool. For others, they may offer insight—but also misinformation.”

There is also a public health dimension to the CGM boom. As more devices flow into the hands of affluent, health-conscious consumers, questions of access and equity loom large. In the United States, where CGMs can cost upwards of $300 a month without insurance, many individuals with Type 2 diabetes—particularly in lower-income communities—remain unable to access these tools. A 2022 study published in JAMA Internal Medicine found that only 20% of Medicare beneficiaries with Type 2 diabetes who could benefit from a CGM were actually using one.

This discrepancy has sparked calls for policy reform. In 2024, the Centers for Medicare and Medicaid Services expanded CGM coverage to include more Type 2 diabetes patients who use insulin, but advocates argue that this still leaves millions uncovered. Meanwhile, commercial expansion into the wellness space may deepen existing inequalities—transforming a critical health tool into a luxury biometric for the well-off.

Still, the cultural momentum behind CGMs is undeniable. They fit neatly into the ethos of the quantified self, in which health is measured, visualized, and optimized through data. In a time when trust in institutions is fragile and medical care often feels reactive, CGMs offer the allure of immediacy and control—a kind of DIY medicine for the digital age.

Whether this trend will lead to better health outcomes or merely more wellness noise remains to be seen. For now, CGMs are emblematic of a larger shift: from population-based guidelines to individual feedback loops; from reactive treatment to proactive tracking; from medicine as authority to medicine as interface.

As we strap sensors to our arms in search of perfect glucose curves, we should also ask: what are we really trying to monitor? And what, in this age of infinite data, might we be missing?

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Ashley Rodgers

Ashley Rodgers

Ashley Rodgers is a writer specializing in health, wellness, and policy, bringing a thoughtful and evidence-based voice to critical issues.

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Videos

In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
Hallucination in LLMs can lead to misinformation.
LLMs can produce inconsistent answers based on input.
Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

Chapters

00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
YouTube Video U1u-IYdpeEk
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Large Language Models in Healthcare

Clinical Reads

What the Most-Cited LLM-in-Medicine Papers Reveal—and What They Miss

What the Most-Cited LLM-in-Medicine Papers Reveal—and What They Miss

by Daily Remedy
January 25, 2026
0

In just over two years, papers on large language models (LLMs) in medicine have accumulated nearly fifteen thousand citations, creating an academic canon that is already shaping funding decisions, regulatory conversations, and clinical experimentation. This study dissects the 100 most-cited LLM-in-medicine papers to show who is driving the field, which applications dominate attention, and where the evidence remains dangerously thin. What emerges is a picture of rapid intellectual consolidation—paired with a widening gap between technical promise and clinical reality. The...

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