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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: LLMs

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, 2026npj Digital Medicine

As technology evolves, so does the way people engage with it—especially when it comes to health information. Over the past 25 years, the explosive growth in internet use has been paralleled by an equally…

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The Hidden Dangers of AI in Care: ECRI Ranks the Top 10 Health Tech Hazards for 2026

The Hidden Dangers of AI in Care: ECRI Ranks the Top 10 Health Tech Hazards for 2026

January 22, 2026January 22, 2026HIT Consultant

What You Should Know

The Core News: ECRI has named the misuse of AI chatbots (LLMs) as the #1 health technology hazard for 2026, citing their tendency to provide confident but factually incorrect medical advice.The…

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Bridging the mentorship divide: how large language models could reshape medical workforce equity

Bridging the mentorship divide: how large language models could reshape medical workforce equity

January 9, 2026January 9, 2026npj Digital Medicine

Mentorship in predictive large language models (LLMs) presents both opportunities and risks of inequity if these systems are not designed with care. Mentorship quietly shapes medical careers, yet opportunities for it remain unequal. LLMs…

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The Agentic Era: Why Glen Tullman is Killing the Healthcare Chatbot in 2026

The Agentic Era: Why Glen Tullman is Killing the Healthcare Chatbot in 2026

January 6, 2026January 7, 2026HIT Consultant

What You Should Know

– Transcarent has officially launched WayFinding 2.0, marking a strategic shift from the “chat assistant era” to the “agentic action era” in healthcare.

– By integrating autonomous AI agents that can schedule…

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LLMs hallucinate when removing patient info from EPR, finds study

LLMs hallucinate when removing patient info from EPR, finds study

December 18, 2025December 20, 2025Digital Health

AI tools sometimes produce hallucinations when asked to remove personal patient information from electronic patient records (EPRs), a study has found.
Researchers from the University of Oxford evaluated the ability of large language models (LLMs)…

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HFMA Survey: 80% of Health Systems Adopt GenAI for Revenue Cycle as Documentation Risks Rise

HFMA Survey: 80% of Health Systems Adopt GenAI for Revenue Cycle as Documentation Risks Rise

December 17, 2025December 19, 2025HIT Consultant

What You Should Know: 

– For decades, the “revenue cycle“—the complex machinery of medical billing, coding, and reimbursement—has been the unglamorous back office of healthcare. But in 2025, it has become the frontline of AI…

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Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features

Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features

December 16, 2025December 16, 2025npj Digital Medicine

Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. In this study, we explored large language models (LLMs) to overcome the…

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If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

December 5, 2025December 6, 2025npj Digital Medicine

Large language models (LLMs) are increasingly used for mental health interactions, often mimicking therapeutic behaviour without regulatory oversight. Documented harms, including suicides, highlight the urgent need for stronger safeguards. This manuscript argues that LLMs…

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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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One in four UK patients using AI and social media for health info

One in four UK patients using AI and social media for health info

November 28, 2025November 28, 2025Digital Health

The Medicines and Healthcare products Regulatory Agency (MHRA) has advised that AI chatbots should not replace advice from healthcare professionals after research found one in four UK patients are turning to AI and social…

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Transformation implies an order of magnitude improvement in performance, as opposed to incremental improvement. Digital implies the convergence of technologies in which the total is greater than the sum of the parts. Thus, digital transformation unlocks breakthrough or innovative business performance through the synergistic use of technology. Said another way, digital transformation is what turns the lead into gold.

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

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