Sunday, February 8, 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 Innovations & Investing

Health Algorithms Risk Price Fixing

The data creates the collusion

Julie Rovner and David Hilzenrath by Julie Rovner and David Hilzenrath
May 8, 2024
in Innovations & Investing
0
Health Algorithms Risk Price Fixing

Daniel Schwarz

New technologies are making it easier for companies to fix prices and discriminate against individual consumers, the Biden administration’s top consumer watchdog said.

Algorithms make it possible for companies to fix prices without explicitly coordinating with one another, posing a new test for regulators policing the market, said Lina Khan, chair of the Federal Trade Commission, during a media event hosted by KFF.

“I think we could be entering a somewhat novel era of pricing,” Khan told reporters.

Khan is regarded as one of the most aggressive antitrust regulators in recent U.S. history, and she has paid particular attention to the harm that technological advances can pose to consumers. Antitrust regulators at the FTC and the Justice Department set a record for merger challenges in the fiscal year that ended Sept. 30, 2022, according to Bloomberg News.

Last year, the FTC successfully blocked biotech company Illumina’s over $7 billion acquisition of cancer-screening company Grail. The FTC, Justice Department, and Health and Human Services Department launched a website on April 18, inside healthcare, healthycompetition.gov, to make it easier for people to report suspected anticompetitive behavior in the healthcare industry.

The American Hospital Association, the industry’s largest trade group, has often criticized the Biden administration’s approach to antitrust enforcement. In comments in September on proposed guidance the FTC and Justice Department published for companies, the AHA said that “the guidelines reflect a fundamental hostility to mergers.”

Price fixing removes competition from the market and generally makes goods and services more expensive. The agency has argued in court filings that price fixing “is still illegal even if you are achieving it through an algorithm,” Khan said. “There’s no kind of algorithmic exemption to the antitrust laws.”

By simply using the same algorithms to set prices, companies can effectively charge the same “even if they’re not, you know, getting in a back room and kind of shaking hands and setting a price,” Khan said, using the example of residential property managers.

Khan said the commission is also scrutinizing the use of artificial intelligence and algorithms to set prices for individual consumers “based on all of this particular behavioral data about you: the websites you visited, you know, who you had lunch with, where you live.”

And as health care companies change the way they structure their businesses to maximize profits, the FTC is changing the way it analyzes behavior that could hurt consumers, Khan said.

Hiring people who can “help us look under the hood” of some inscrutable algorithms was a priority, Khan said. She said it’s already paid off in the form of legal actions “that are only possible because we had technologists on the team helping us figure out what are these algorithms doing.”

Traditionally, the FTC has policed health care by challenging local or regional hospital mergers that have the potential to reduce competition and raise prices. But consolidation in health care has evolved, Khan said.

Mergers of systems that don’t overlap geographically are increasing, she said. In addition, hospitals now often buy doctor practices, while pharmacy benefit managers start their own insurance companies or mail-order pharmacies — or vice versa — pursuing “health insurance innovations” and “healthcare system management“ that can hurt consumers, she said.

The FTC is hearing increasing complaints “about how these firms are using their monopoly power” and “exercising it in ways that’s resulting in higher prices for patients, less service, as well as worse conditions for health care workers,” Khan said.

Policing Noncompetes

Khan said she was surprised at how many health care workers responded to the commission’s recent proposal to ban “noncompete” clauses — agreements that can prevent employees from moving to new jobs. The FTC issued its final rule banning the practice on Tuesday. She said the ban was aimed at low-wage industries like fast food but that many of the comments in favor of the FTC’s plan came from health professions.

Health workers say noncompete agreements are “both personally devastating and also impeded patient care,” Khan said.

In some cases, doctors wrote that their patients “got really upset because they wanted to stick with me, but my hospital was saying I couldn’t,” Khan said. Some doctors ended up commuting long distances to prevent the rest of their families from having to move after they changed jobs, she said.

KFF Health News is a national newsroom that produces in-depth journalism about health issues and is one of the core operating programs at KFF—an independent source of health policy research, polling, and journalism. Learn more about KFF.

Subscribe to KFF Health News’ free Morning Briefing.

Source: KFF Health News
ShareTweet
Julie Rovner and David Hilzenrath

Julie Rovner and David Hilzenrath

Julie Rovner and David Hilzenrath are reporters at KFF Health News.

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

  • Powerful Phrases to Tell Patients

    Powerful Phrases to Tell Patients

    0 shares
    Share 0 Tweet 0
  • The Future of Healthcare Law

    0 shares
    Share 0 Tweet 0
  • Positions Currently in High Demand in the Medical Field

    0 shares
    Share 0 Tweet 0
  • How Medical Devices Are Properly Sterilized

    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