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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: Consensus

CHAI Releases Draft Responsible Health AI Framework

CHAI Releases Draft Responsible Health AI Framework

June 26, 2024June 26, 2024HIT Consultant

What You Should Know:

–              Today the Coalition for Health AI (CHAI) released a draft framework for responsible health AI with an invitation for public review and comment.

–              The framework, consisting of an Assurance Standards…

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Why a FHIR-Only Approach to Advance Interoperability Won’t Work Today

Why a FHIR-Only Approach to Advance Interoperability Won’t Work Today

June 3, 2024June 3, 2024HIT Consultant

Bevey Miner EVP, Healthcare Strategy & Policy for Consensus Cloud Solutions There’s been a strong push for a FHIR standard for information sharing in healthcare. Although a standard built on application programming interfaces (APIs)…

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3 Steps to Unlock the True Potential of AI for Health Leaders

3 Steps to Unlock the True Potential of AI for Health Leaders

May 29, 2024May 29, 2024HIT Consultant

Robbie Hughes, founder and CEO, Lumeon

The AI buzz is not subsiding, making headlines across industries. In his summary article about the 2024 HIMSS conference, Chilmark Research’s John Moore III noted, “Good luck trying to…

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StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

May 17, 2024May 17, 2024npj Digital Medicine

Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification tool, StrokeClassifier, using electronic health record (EHR) text from…

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Cutting Through the AI Hype: Deploying AI Now to Improve Patient Care | Healthcare IT Today

Cutting Through the AI Hype: Deploying AI Now to Improve Patient Care | Healthcare IT Today

May 16, 2024May 16, 2024Healthcare IT Today

The following is a guest article by Bevey Miner, Executive Vice President, Healthcare Strategy and Policy at Consensus Cloud Solutions
Artificial intelligence (AI) is everywhere, and with so much hype around it, healthcare organizations are…

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Revenue Integrity in 2024: Reducing Leakage Points in a Complicated Cycle

Revenue Integrity in 2024: Reducing Leakage Points in a Complicated Cycle

May 14, 2024May 14, 2024HIT Consultant

Tanya Sanderson, RN, BSN, MBA, MHA, CLNC, CHFP, Sr. Director of Revenue Integrity, Xsolis

The concept of “revenue integrity” hasn’t really changed over the years, but the roles, responsibilities, and oversight have become far more complex…

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Revenue Integrity in 2024: Reducing Leakage Points in a Complicated Cycle | Healthcare IT Today

Revenue Integrity in 2024: Reducing Leakage Points in a Complicated Cycle | Healthcare IT Today

May 10, 2024May 10, 2024Healthcare IT Today

The following is a guest article by Tanya Sanderson, RN, BSN, MBA, MHA, CLNC, CHFP, Senior Director of Revenue Integrity at Xsolis
The concept of “revenue integrity” hasn’t really changed over the years, but the…

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Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review

Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review

May 2, 2024May 2, 2024JMIR mHealth and uHealth

Background: Mobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens that involve taking medicine and other self-management activities. However, there is no consensus…

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Monitoring Adolescent and Young Adult Patients With Cancer via a Smart T-Shirt: Prospective, Single-Cohort, Mixed Methods Feasibility Study (OncoSmartShirt Study)

Monitoring Adolescent and Young Adult Patients With Cancer via a Smart T-Shirt: Prospective, Single-Cohort, Mixed Methods Feasibility Study (OncoSmartShirt Study)

May 2, 2024May 2, 2024JMIR mHealth and uHealth

Background: Wearables measuring vital parameters can be potential tools for monitoring patients at home during cancer treatment. One type of wearable is a smart t-shirt with embedded sensors. Initially, the smart t-shirts were designed…

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HIStalk Interviews Paula Scariati, DO, Physician Informaticist and Author – HIStalk

HIStalk Interviews Paula Scariati, DO, Physician Informaticist and Author – HIStalk

April 10, 2024April 11, 2024HIStalk

Paula Scariati, DO, MPH, MS is a physician informaticist, EHR governance consultant, and author of the book “EHR Governance: A Practical Guide to User Centric, Consensus Driven Optimization.”

Tell me about yourself…

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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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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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