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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 AI

Executive predictions for healthcare AI in 2026, Part 2

Executive predictions for healthcare AI in 2026, Part 2

December 22, 2025December 24, 2025MobiHealthNews

Executive predictions for healthcare AI in 2026, Part 2 | MobiHealthNews

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Executive predictions for healthcare AI in 2026, part two

Executive predictions for healthcare AI in 2026, part two

December 22, 2025December 24, 2025MobiHealthNews

Executive predictions for healthcare AI in 2026, part two | MobiHealthNews

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2025: the year healthcare AI matured

2025: the year healthcare AI matured

December 22, 2025December 22, 2025MobiHealthNews

2025: the year healthcare AI matured | MobiHealthNews

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Executive predictions for healthcare AI in 2026, part one

Executive predictions for healthcare AI in 2026, part one

December 19, 2025December 20, 2025MobiHealthNews

Executive predictions for healthcare AI in 2026, part one | MobiHealthNews

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Executive predictions for healthcare AI in 2026, Part 1

Executive predictions for healthcare AI in 2026, Part 1

December 19, 2025December 20, 2025MobiHealthNews

Executive predictions for healthcare AI in 2026, Part 1 | MobiHealthNews

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The “Second Opinion” Era: Why 86% of Clinicians Now Trust AI to Catch Missed Details

The “Second Opinion” Era: Why 86% of Clinicians Now Trust AI to Catch Missed Details

December 18, 2025December 20, 2025HIT Consultant

What You Should Know: 

– New flagship research from athenahealth’s intelligence hub reveals a critical maturity milestone in healthcare AI: the shift from experimental admin tools to trusted clinical partners. 

– A national survey of 501…

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Healthcare AI News 12/17/25

Healthcare AI News 12/17/25

December 17, 2025December 18, 2025HIStalk

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Mass General Brigham spins out AIwithCare, an AI-powered tool that matches patients to clinical trials.

In China, a health app from a financial technology company is answering 5 million questions daily. Ant Afu, whose…

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Vitalis Ventures Invests $15M in Drive Health to Scale Google-Powered AI Agent ‘Avery’

Vitalis Ventures Invests $15M in Drive Health to Scale Google-Powered AI Agent ‘Avery’

December 17, 2025December 18, 2025HIT Consultant

What You Should Know: 

– Vitalis Ventures, an investment platform focused on AI-enabled care delivery has invested $15M in Drive Health to scale “Avery,” a Google-powered agentic AI platform designed to automate clinical workflows rather…

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HIMSSCast: New book offers first-person look back on challenging early chapter for healthcare AI

HIMSSCast: New book offers first-person look back on challenging early chapter for healthcare AI

December 13, 2025December 13, 2025Healthcare IT news

HIMSSCast: New book offers first-person look back on challenging early chapter for healthcare AI | Healthcare IT News

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Healthcare AI implementation needs trust, training and teamwork

Healthcare AI implementation needs trust, training and teamwork

December 12, 2025December 13, 2025Healthcare IT news

Healthcare AI implementation needs trust, training and teamwork | Healthcare IT News

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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

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