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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: framework

FedOcw: optimized federated learning for cross-lingual speech-based Parkinson’s disease detection

FedOcw: optimized federated learning for cross-lingual speech-based Parkinson’s disease detection

June 13, 2025June 14, 2025npj Digital Medicine

Accurate detection of Parkinson’s disease (PD) through speech analysis holds great promise for early diagnosis and improved patient management. However, developing robust machine learning models is challenging due to the decentralized nature of medical…

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An evaluation framework for ambient digital scribing tools in clinical applications

An evaluation framework for ambient digital scribing tools in clinical applications

June 13, 2025June 14, 2025npj Digital Medicine

Ambient digital scribing (ADS) tools alleviate clinician documentation burden, reducing burnout and enhancing efficiency. As AI-driven ADS tools integrate into clinical workflows, robust governance is essential for ethical and secure deployment. This study proposes…

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Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records

Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records

June 10, 2025June 11, 2025npj Digital Medicine

Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques…

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Exploring the potential of digital biomarkers as a measure of brain health ‘capital’

Exploring the potential of digital biomarkers as a measure of brain health ‘capital’

June 5, 2025June 5, 2025npj Digital Medicine

Neurological conditions, including dementia, pose a major public health challenge, contributing to a significant and growing clinical, economic, and societal burden. Traditionally, research and clinical practice have focused on diseases like dementia in isolation….

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Integrating CEN ISO/TS 82304-2 in the Catalan Health App Assessment Framework: Comparative Case Study

Integrating CEN ISO/TS 82304-2 in the Catalan Health App Assessment Framework: Comparative Case Study

June 4, 2025June 5, 2025JMIR mHealth and uHealth

Background: Health apps are increasingly being used to promote health, manage diseases, and deliver healthcare services. Still, there is scarce objective information regarding their quality beyond the required CE mark for medical apps, leading…

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Epic TEFCA Milestone Transforms Healthcare Data Exchange

Epic TEFCA Milestone Transforms Healthcare Data Exchange

June 4, 2025June 4, 2025DistilINFO Hospital IT

Epic Achieves Historic Interoperability Breakthrough
Epic Systems reached a groundbreaking interoperability milestone this Monday, announcing that over 1,000 hospitals and thousands of clinics are now actively exchanging health data through its TEFCA Qualified Health Information…

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NHSE warns that AI translation apps could impact patient safety

NHSE warns that AI translation apps could impact patient safety

June 3, 2025June 3, 2025Digital Health

NHS England has raised concerns that the inappropriate use of AI translation apps in healthcare could cause risks to patient safety. 
The ‘Improvement framework: community language translation and interpreting services’, published by NHSE on 27…

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PathAI and Northwestern Medicine to Transform Pathology Diagnostics with AI

PathAI and Northwestern Medicine to Transform Pathology Diagnostics with AI

June 2, 2025June 3, 2025HIT Consultant

What You Should Know: 

– PathAI, a provider of AI-powered pathology solutions, and Northwestern Medicine, Chicago’s premier integrated academic health system announced a strategic multi-year collaboration aimed at transforming pathology diagnostics through the power of…

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Epic says providers are sharing widely through its TEFCA QHIN

Epic says providers are sharing widely through its TEFCA QHIN

June 2, 2025June 2, 2025Healthcare IT news

Epic Systems announced on Monday it has reached what it’s calling milestone in interoperability: a significant and growing number of hospitals and clinics exchanging health data across its TEFCA Qualified Health Information Network. WHY IT…

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A general framework for governing marketed AI/ML medical devices

A general framework for governing marketed AI/ML medical devices

June 1, 2025June 1, 2025npj Digital Medicine

This project represents the first systematic assessment of the US Food and Drug Administration’s postmarket surveillance of legally marketed artificial intelligence and machine learning based medical devices. We focus on the Manufacturer and User…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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