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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: Patients

Deep-Learning Model Shows Promise in Measuring Joint Attention

Deep-Learning Model Shows Promise in Measuring Joint Attention

June 2, 2023June 4, 2023Health IT Analytics

By Mark Melchionna

June 02, 2023 – A study published in JAMA Network Open describes a deep-learning (DL) model that showed the ability to determine differences between children with autism spectrum disorder (ASD) and typical development…

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Researchers Develop eCQMs for Cancer Diagnostic Process, Follow-Up

Researchers Develop eCQMs for Cancer Diagnostic Process, Follow-Up

June 2, 2023June 4, 2023EHR Intelligence

By Hannah Nelson

June 02, 2023 – Electronic clinical quality measures (eCQMs) to assess quality of cancer diagnosis could help improve diagnostic performance, according to a study published in JAMIA.
Researchers developed and implemented two eCQMs to…

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Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies

June 2, 2023June 4, 2023npj Digital Medicine

Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to…

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DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

June 2, 2023June 4, 2023npj Digital Medicine

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric…

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Penn Medicine uses AI chatbot 'Penny' to improve cancer care

Penn Medicine uses AI chatbot ‘Penny’ to improve cancer care

June 2, 2023June 4, 2023Healthcare IT news

Over the past 25 years, the field of oncology has witnessed a dramatic shift in cancer care delivery with the development of new therapeutics, a desire to shift care from inpatient and clinic settings…

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Roundups: 10 Recent Digital Health Strategic Partnerships

Roundups: 10 Recent Digital Health Strategic Partnerships

June 2, 2023June 3, 2023HIT Consultant

Flatiron Health has signed a new partnership agreement with the London-based precision medicine software company Lifebit that will enable its researchers to securely access sensitive, real-world data on cancer patients – and hence speed…

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Machine Learning Accurately Triages Respiratory Symptoms in Primary Care

Machine Learning Accurately Triages Respiratory Symptoms in Primary Care

June 2, 2023June 3, 2023Health IT Analytics

By Shania Kennedy

June 02, 2023 – Researchers have demonstrated that a machine learning (ML)-based clinical decision support tool can accurately triage patients with respiratory symptoms before they visit a primary care clinic, which may improve…

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HealthSnap Raises $9 Million Series A for Continued Growth of Remote Patient Monitoring and Chronic Care Management Platform | Healthcare IT Today

HealthSnap Raises $9 Million Series A for Continued Growth of Remote Patient Monitoring and Chronic Care Management Platform | Healthcare IT Today

June 2, 2023June 3, 2023Healthcare IT Today

The Investment, Led by Asclepius Growth Capital and Leading Health System Partners, will Enable Care Teams to Empower Patients with a More Personalized Remote-Care Experience
HealthSnap, a Miami-based virtual care management platform for chronic disease management,…

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Epic EHR Optimization: 8 Steps to Maximize Your Epic Investment

Epic EHR Optimization: 8 Steps to Maximize Your Epic Investment

June 2, 2023June 2, 2023HIT Consultant

Laxmi Patel, Chief Strategy Officer at Savista

Epic’s EHR has changed the face of healthcare, becoming the one source of truth and reporting for many organizations. It provides a wide range of comprehensive functionalities across…

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Better experiences and improved outcomes with AI

Better experiences and improved outcomes with AI

June 2, 2023June 3, 2023Omnia Health Insights

Data is quickly becoming the new currency in healthcare led by organisations that prioritise secure storage, clinical interpretation, and the frictionless movement of data between patients and doctors. Dr. David Rhew, Global Chief Medical…

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[Physicians] are going to look at you sideways if you ask them to align, but if you ask them to be the leaders and determine what the future will look like, they will rise to the challenge.

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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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