Saturday, February 14, 2026
ISSN 2765-8767
  • Survey
  • Podcast
  • Write for Us
  • My Account
  • Log In
Daily Remedy
  • Home
  • Articles
  • Podcasts
    The Future of LLMs in Healthcare

    The Future of LLMs in Healthcare

    January 26, 2026
    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
  • Surveys

    Surveys

    AI in Healthcare Decision-Making

    AI in Healthcare Decision-Making

    February 1, 2026
    Patient Survey: Understanding Healthcare Consumerism

    Patient Survey: Understanding Healthcare Consumerism

    January 18, 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?

    May 7, 2024
  • Courses
  • About Us
  • Contact us
  • Support Us
  • Official Learner
No Result
View All Result
  • Home
  • Articles
  • Podcasts
    The Future of LLMs in Healthcare

    The Future of LLMs in Healthcare

    January 26, 2026
    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
  • Surveys

    Surveys

    AI in Healthcare Decision-Making

    AI in Healthcare Decision-Making

    February 1, 2026
    Patient Survey: Understanding Healthcare Consumerism

    Patient Survey: Understanding Healthcare Consumerism

    January 18, 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?

    May 7, 2024
  • Courses
  • About Us
  • Contact us
  • Support Us
  • Official Learner
No Result
View All Result
Daily Remedy
No Result
View All Result
Home Contrarian

The Media Has Failed Healthcare

Daily Remedy by Daily Remedy
October 18, 2021
in Contrarian
0

Confluence is a complex word, often used to explain complex concepts. But when journalists use it to describe pressing healthcare issues, the word seems conveniently simplified.

It was used to describe the combined influence of the COVID-19 pandemic and the opioid epidemic on rising suicide rates. It was used to explain the combined impact of COVID-19 and seasonal influenza on total viral respiratory infections.

But the word was hardly ever used correctly. Instead it was inserted into articles that simplified complex statistical trends or healthcare policies into convenient cause and effect relationships.

Effectively, journalists would find a healthcare topic to write about, identify one or two statistics to explain the topic, and then complete the article with narratives, quotations, and anecdotes that justify the writer’s framing of the statistics.

This process explains how most healthcare articles are drafted by journalists writing out of prominent media outlets. It also explains why the public has a poor understanding of healthcare and public health policy.

In recent years, media outlets have increasingly covered healthcare topics, a trend that accelerated during the pandemic. Most assumed the rise in healthcare news would increase public awareness of healthcare topics, leading to a more educated patient population.

Instead, the rise in healthcare media coverage has been more complicated than we assumed due to counterintuitive effects arising from two phenomena unique to healthcare journalism.

The first coming from cognitive distortions arising in the way healthcare articles are written. The second coming from the stagnation in new ideas based on the sheer volume of healthcare articles written.

Often when we read a healthcare article portraying a particular stance, we question the writer’s objectivity – often dismissing the writer as prejudiced. But most cognitive distortions are subconscious, arising from a host of small, individual decisions made over the course of writing an article.

These include decisions writers make regarding the healthcare topic, the angle taken, and the sources cited in the article. Most experienced journalists establish some standard method to make these decisions. Gradually these decisions become reflexive, forming judgmental shortcuts.

Behavioral economists call these heuristics, or thought patterns used to make quick decisions. Journalists rely on these heuristics when constructing a healthcare article, whether they intend the article to be overtly prejudiced or truly objective.

These heuristics not only show up in how the articles are drafted, but in how they are presented to the public. Writers live through their readers. And the more successful a writer, the more readers he or she has. But the more readers a writer has, the more targeted the written content has to be – in order to maintain the readership base.

Presenting healthcare news to a targeted audience requires the writer to contextualize the content in a way that appeals to readers. This is where we see tendencies to simplify statistics or to frame healthcare issues into convenient cause and effect relationships. The writer frames the healthcare topic in way that resonates with the readers to maximize readership. But by cultivating content in this way, the writer merely reinforces the existing beliefs the readers hold.

The writer may be consciously aware of this, and attempt to present counterpoints to maintain an objective stance. But the counterpoints are still contextualized to the targeted audience, relative to the initial heuristics used to draft the article – often creating another bias out of a writer’s attempt to appear balanced.

These are called judgmental heuristics. Even when a writer is trying to be objective, the process of drafting content for a targeted audience creates biases.

And if the method by which a writer drafts an article proves biased, then the resulting article will inevitably be biased. Not towards any particular stance – for or against a given healthcare issue – but biased in the way the issues are presented, and subsequently understood by the readers.

Biases, once repeated, quickly become established patterns emulated by other writers also seeking to gain their readers’ attention. This is why most healthcare articles are written through these formulaic patterns, and why the reading audience continues to consume these healthcare articles at a high clip.

The heuristics are repeated until they become fluent to both the writer and the reader. Fluency leads to familiarity, and familiarity leads to trust, which is the ultimate goal writers seek to gain among their readers.

And through the heightened pace of the modern news cycle, we see articles drafted and consumed at an ever increasing rate, which then results in a greater number of articles – which creates the second counterintuitive phenomenon.

The more information available, the slower the rate of change in the information, which means biased information drafted into healthcare articles, once introduced into the news cycles, lingers longer than it would if less news were available or fewer news outlets existed.

Simply put, the heuristics in the initial healthcare articles create a precedent for future articles on the same topic. So instead of new information, we receive the same information, interpreted differently but through the same judgmental biases – reframing the same content as though it were new while reiterating biased information until it is perceived to be true.

The more articles covering a healthcare issue, the more established the biases become. A process called “ossification of canon” by professors Johan Chu of Northwestern University and James Evans of the University of Chicago.

The two professors studied citation rates among scholarly publications in different academic fields, finding that large academic fields have higher rates of repeated content and repeated citations compared to smaller or newer academic fields.

Larger academic fields prioritize papers that reiterate established information and reference articles considered to be canon within the academic field. These papers are also the ones published most quickly, a major point of consideration for academics seeking tenured professorships.

But in smaller fields they found more disruptive articles that were willing to challenge established beliefs or traditionally held notions.

Overall the two professors found inherent and significant biases in the way academic articles were published – a bias that increased with the size of the academic field.

“It is predetermined socially rather than scholarly”, wrote Johan Chu regarding biases in scholarly publishing. A pattern that mirrors the process by which biases determine healthcare articles published through less academic, more mainstream media outlets.

The more a given healthcare topic has been written about, the more ingrained the initial biases become. And the more difficult it becomes to introduce new information – even when the new information is more accurate.

This is why the public sees healthcare the way they do. And why healthcare articles continue to be drafted as they are.

The judgmental heuristics journalists use when crafting healthcare articles present healthcare topics in a biased manner while appearing to be fair and balanced. And subsequent articles reiterate these biases to appear familiar to readers in order to garner greater readership.

And therein lies the failure, at the confluence of two heuristics.

ShareTweet
Daily Remedy

Daily Remedy

Dr. Jay K Joshi serves as the editor-in-chief of Daily Remedy. He is a serial entrepreneur and sought after thought-leader for matters related to healthcare innovation and medical jurisprudence. He has published articles on a variety of healthcare topics in both peer-reviewed journals and trade publications. His legal writings include amicus curiae briefs prepared for prominent federal healthcare cases.

Comments 0

  1. David Acevedo says:
    4 years ago

    Few media exits that is not mere commentary or worse, …biased commentary. THIS IS NOT reporting.

    Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

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
Subscribe

AI Regulation and Deployment Is Now a Core Healthcare Issue

Clinical Reads

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

by Daily Remedy
February 1, 2026
0

Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

Read more

Join Our Newsletter!

Twitter Updates

Tweets by TheDailyRemedy

Popular

  • The Information Epidemic: How Digital Health Misinformation Is Rewiring Clinical Risk

    The Information Epidemic: How Digital Health Misinformation Is Rewiring Clinical Risk

    0 shares
    Share 0 Tweet 0
  • Prevention Is Having a Moment and a Measurement Problem

    0 shares
    Share 0 Tweet 0
  • Behavioral Health Is Now a Network Phenomenon

    0 shares
    Share 0 Tweet 0
  • The Breach Is the Diagnosis: Cybersecurity Has Become a Clinical Risk Variable

    0 shares
    Share 0 Tweet 0
  • Health Technology Assessment Is Moving Upstream

    0 shares
    Share 0 Tweet 0
  • 628 Followers

Daily Remedy

Daily Remedy offers the best in healthcare information and healthcare editorial content. We take pride in consistently delivering only the highest quality of insight and analysis to ensure our audience is well-informed about current healthcare topics - beyond the traditional headlines.

Daily Remedy website services, content, and products are for informational purposes only. We do not provide medical advice, diagnosis, or treatment. All rights reserved.

Important Links

  • Support Us
  • About Us
  • Contact us
  • Privacy Policy
  • Terms and Conditions

Join Our Newsletter!

  • Survey
  • Podcast
  • About Us
  • Contact us

© 2026 Daily Remedy

No Result
View All Result
  • Home
  • Articles
  • Podcasts
  • Surveys
  • Courses
  • About Us
  • Contact us
  • Support Us
  • Official Learner

© 2026 Daily Remedy