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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: guidelines

Evaluating base and retrieval augmented LLMs with document or online support for evidence based neurology

Evaluating base and retrieval augmented LLMs with document or online support for evidence based neurology

March 4, 2025May 18, 2025npj Digital Medicine

Effectively managing evidence-based information is increasingly challenging. This study tested large language models (LLMs), including document- and online-enabled retrieval-augmented generation (RAG) systems, using 13 recent neurology guidelines across 130 questions. Results showed substantial variability….

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Developing a named entity framework for thyroid cancer staging and risk level classification using large language models

Developing a named entity framework for thyroid cancer staging and risk level classification using large language models

March 1, 2025March 2, 2025npj Digital Medicine

We developed a named entity (NE) framework for information extraction from semi-structured clinical notes retrieved from The Cancer Genome Atlas—Thyroid Cancer (TCGA-THCA) database and examined Large Language Models (LLMs) strategies to classify the 8th…

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Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

March 1, 2025March 2, 2025npj Digital Medicine

This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes. Following PRISMA guidelines, we analyzed 18 studies (n = 1,064,530) that employed rule-based algorithms (67%), traditional machine…

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The Future of Patient Experience in Healthcare in 2025 and Beyond

The Future of Patient Experience in Healthcare in 2025 and Beyond

February 28, 2025March 2, 2025HIT Consultant

Bill Bruno, CEO at Celebrus

Patient experience (PX) in healthcare is a crucial factor in engagement, compliance, and operational efficiency. But as digital interactions increasingly shape how patients access and navigate care, healthcare providers are…

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Digital therapeutics toolkit improves respiratory outcomes in Wales

Digital therapeutics toolkit improves respiratory outcomes in Wales

February 28, 2025March 2, 2025Digital Health

A respiratory digital therapeutics toolkit is improving outcomes and reducing health inequalities for people with asthma and chronic obstructive pulmonary disease (COPD) in Wales.
The toolkit, which was rolled out in July 2020 and has…

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A scoping review of ethical aspects of public-private partnerships in digital health

A scoping review of ethical aspects of public-private partnerships in digital health

February 27, 2025March 2, 2025npj Digital Medicine

Partnerships between public and private organizations in digital health can promote more accessible, affordable, and high-quality care, but they also raise ethical and governance challenges. We searched PubMed, EMBASE, and Web of Science, identifying…

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Prediction of individual treatment allocation between electroconvulsive therapy or ketamine using the Personalized Advantage Index

Prediction of individual treatment allocation between electroconvulsive therapy or ketamine using the Personalized Advantage Index

February 27, 2025March 2, 2025npj Digital Medicine

Electroconvulsive therapy (ECT) and ketamine are effective treatments for depression; however, evidence-based guidelines are needed to inform individual treatment selection. We adapted the Personalized Advantage Index (PAI) using machine learning to predict optimal treatment…

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Proposed HIPAA Updates and What They Mean for Healthcare IT teams

Proposed HIPAA Updates and What They Mean for Healthcare IT teams

February 26, 2025March 2, 2025HIT Consultant

Jacob Johnson, CISO of ArmorPoint

Few industries rely more heavily on sensitive personal information than the healthcare sector, and therefore few collect, store and share as much data. The Department of Health and Human Services…

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AI Revolutionizes Healthcare Disease Screening Methods

AI Revolutionizes Healthcare Disease Screening Methods

February 14, 2025February 14, 2025DistilINFO Hospital IT

The Growing Healthcare Crisis
The United States faces an unprecedented healthcare challenge, with chronic diseases consuming approximately 90% of the nation’s $4.1 trillion annual health care expenditure. These conditions are responsible for 74% of global…

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EU issues guidelines on banned AI practices

EU issues guidelines on banned AI practices

February 7, 2025February 7, 2025MobiHealthNews

The European Union has released Guidelines to provide legal clarity on the prohibited uses of AI within the EU AI Act to ensure effective, consistent and uniform application and protect European citizens’ rights and…

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It all comes back to helping patients. That's the reason why we have an innovations office. We have some of the best physicians, scientists and engineers in the world right here in Cleveland who come up with brilliant ideas every day. And we need a way of bringing these to the market to help patients today and in the future. We want to reduce healthcare costs if we can come up with a less expensive way of doing something. We need to innovate around what we traditionally do but then also look at new avenues that we can explore to impact patient care.

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