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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: Beth Israel Deaconess Medical Center

Are genAI-produced visit summaries the future?

Are genAI-produced visit summaries the future?

November 7, 2024November 7, 2024Healthcare IT news

A project at Beth Israel Deaconess Medical Center’s new OpenNotes Lab aims to explore the opportunities and challenges of using artificial intelligence to generate patient visit summaries.WHY IT MATTERSThe initiative, which will see OpenNotes…

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OpenNotes, Abridge Partner on AI-Generated Visit Summaries

OpenNotes, Abridge Partner on AI-Generated Visit Summaries

November 1, 2024November 2, 2024HIT Consultant

What You Should Know: 

– OpenNotes, an advocate for healthcare transparency, and Abridge, an AI-powered clinical documentation platform, have joined forces to improve patient engagement and understanding through enhanced AI-generated visit summaries. 

– The collaboration, part…

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This Week’s Health IT Jobs – October 30, 2024 | Healthcare IT Today

This Week’s Health IT Jobs – October 30, 2024 | Healthcare IT Today

October 30, 2024October 30, 2024Healthcare IT Today

It can be very overwhelming scrolling though job board after job board in search of a position that fits your wants and needs. Let us take that stress away by finding a mix of…

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Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease

Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease

June 25, 2024June 25, 2024npj Digital Medicine

The electrocardiogram (ECG) can capture obesity-related cardiac changes. Artificial intelligence-enhanced ECG (AI-ECG) can identify subclinical disease. We trained an AI-ECG model to predict body mass index (BMI) from the ECG alone. Developed from 512,950…

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AI can make maternal ultrasonography more accessible, accurate and efficient

AI can make maternal ultrasonography more accessible, accurate and efficient

April 26, 2024April 26, 2024Healthcare IT news

Ultrasound is one of the most important advances in medicine. With the capability of seeing the fetus inside the uterus, physicians can now more accurately estimate the gestational age, growth and weight of the…

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44% of mental health patients had in-person visits before telehealth

44% of mental health patients had in-person visits before telehealth

April 11, 2024April 12, 2024mHealth Intelligence

By Anuja Vaidya

April 11, 2024 – Between 2019 and 2022, less than half of patients had an in-person visit before a telehealth appointment for mental healthcare, new research reveals.

The US Congress has permanently allowed Medicare…

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King’s College London AI tool to predict health events

King’s College London AI tool to predict health events

April 11, 2024April 11, 2024Digital Health

A new study led by King’s College London has demonstrated the potential of Foresight, an AI tool, to predict the health trajectory of patient by forecasting future disorders, symptoms, medications and procedures. The tool…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

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