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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: Healthcare LLM

The Clinical AI Paradox: Why Data Scarcity and Synthetic Over-Reliance Threaten Healthcare LLM Revolution

The Clinical AI Paradox: Why Data Scarcity and Synthetic Over-Reliance Threaten Healthcare LLM Revolution

December 4, 2025December 4, 2025HIT Consultant

Durga Chavali, MHA, Health Care IT Client Advisor Data, AI Strategist, Scholar & Advocate

Large Language Models (LLMs) are rapidly moving from the lab to the administrative suite, promising to revolutionize efficiency in healthcare by…

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Hippocratic AI Secures $141M to Expand Healthcare LLMs

Hippocratic AI Secures $141M to Expand Healthcare LLMs

January 10, 2025January 11, 2025HIT Consultant

What You Should Know:

–  Hippocratic AI, the company that pioneered the first healthcare LLM for patient-facing non-diagnostic clinical tasks, today announced that the company completed its series B financing round only nine months after…

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A framework for human evaluation of large language models in healthcare derived from literature review

A framework for human evaluation of large language models in healthcare derived from literature review

September 28, 2024September 28, 2024npj Digital Medicine

With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human evaluations is essential to assuring safety and effectiveness. This study reviews existing literature on…

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Generative AI in Your Desk Drawer: LLMs for Everyone | Healthcare IT Today

Generative AI in Your Desk Drawer: LLMs for Everyone | Healthcare IT Today

March 1, 2024March 2, 2024Healthcare IT Today

Very large health care systems and academic medical centers can employ programmers to create their own LLMs, according to David Kereiakes, managing partner at Windham Venture Partners. In addition to patient data, they ingest…

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Generative AI in Your Desk Drawer: How to Get There | Healthcare IT Today

Generative AI in Your Desk Drawer: How to Get There | Healthcare IT Today

February 29, 2024March 1, 2024Healthcare IT Today

Previous articles in this series have shown how generative AI can be used for administrative and back-office functions in health care. Now we’ll look at how models are trained for these specific purposes.
Training…

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Generative AI in Your Desk Drawer: A Wealth of Uses | Healthcare IT Today

Generative AI in Your Desk Drawer: A Wealth of Uses | Healthcare IT Today

February 28, 2024February 29, 2024Healthcare IT Today

Previous articles in this series introduced the role of generative AI in the healthcare back office and examined its use in billing and revenue management. We’ll cover a lot of other uses in this…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

Recent Posts

  • Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

    Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
  • What impact has healow had on your organization and the patients’ experience?

    What impact has healow had on your organization and the patients’ experience?

    January 31, 2026February 1, 2026Comments Off on What impact has healow had on your organization and the patients’ experience?
  • Weekly Roundup – January 31, 2026

    Weekly Roundup – January 31, 2026

    January 31, 2026February 1, 2026Comments Off on Weekly Roundup – January 31, 2026
  • Embedding clinical intelligence to help close care gaps

    Embedding clinical intelligence to help close care gaps

    January 31, 2026January 31, 2026Comments Off on Embedding clinical intelligence to help close care gaps
  • Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

    Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

    January 31, 2026January 31, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
  • Meditech founder Neil Pappalardo dies at 83

    Meditech founder Neil Pappalardo dies at 83

    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
  • The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    January 31, 2026January 31, 2026Comments Off on The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment
  • Decagon raises $250M for AI agents, triples valuation to $4.5B

    Decagon raises $250M for AI agents, triples valuation to $4.5B

    January 30, 2026January 31, 2026Comments Off on Decagon raises $250M for AI agents, triples valuation to $4.5B
  • Successful AI adoption requires meaningful change management

    Successful AI adoption requires meaningful change management

    January 30, 2026January 31, 2026Comments Off on Successful AI adoption requires meaningful change management
  • The Safe AI in Medicaid Alliance can help providers hone their tactics

    The Safe AI in Medicaid Alliance can help providers hone their tactics

    January 30, 2026January 31, 2026Comments Off on The Safe AI in Medicaid Alliance can help providers hone their tactics

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