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Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial

npj Digital Medicine - (Tuesday July 22, 2025)
AI/ Frequent Updates/ npj Digital Medicine

Preoperative assessment is a critical but time-consuming component of perioperative care, often hindered by poor guideline adherence and high documentation burdens. This study evaluates the impact of PEACH (PErioperative AI CHatbot), an LLM-based clinical…

Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

npj Digital Medicine - (Tuesday July 22, 2025)
Frequent Updates/ npj Digital Medicine

Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may…

The Way We Think About Aging is Dead Wrong

eHealth Radio Network - (Tuesday July 22, 2025)
eHealth Radio Network/ Podcasts

 

Eileen Kopsaftis, Founder of Have Lifelong Wellbeing, which provides online movement, health, and aging content that is not well known but should be joins eHealth Radio and the Health News Channel.

Listen to interview with…

How Healthcare Organizations Can Pick the Right MSP for Their Security Needs

HealthTech Magazine - (Tuesday July 22, 2025)
Frequent Updates/ HealthTech Magazine

Why Healthcare Organizations Turn to MSSPs
Along with the potential to fill staffing shortages, MSSPs help address the “constant barrage of attacks on the industry,” according to Christopher Fielder, director of product marketing at Arctic…

Osteoarthritis progression pattern based on patient specific characteristics using machine learning

npj Digital Medicine - (Tuesday July 22, 2025)
AI/ Frequent Updates/ npj Digital Medicine

This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. From 2003 to 2017, data from 833 knees were analyzed….

Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations

npj Digital Medicine - (Tuesday July 22, 2025)
Frequent Updates/ npj Digital Medicine

Digital health technologies hold significant potential for reducing global healthcare disparities. Large language models (LLMs) offer new opportunities to enhance access to culturally specific healthcare, including traditional Chinese medicine (TCM). This study evaluated the…

Curbside Consult with Dr. Jayne 7/21/25

HIStalk - (Monday July 21, 2025)
Daily Reads/ HIStalk

Mr. H is running a poll that asks, “Is it ethical for doctors to prescribe the drugs of their pharma sponsors to people who seek specific treatments?” He also posed a couple of follow-up…

A Quick Look at DirectTrust’s Upcoming Event

Healthcare IT Today - (Monday July 21, 2025)
Healthcare IT Today/ Videos

🎤 This isn’t your typical conference…DirectTrust’s upcoming event is shaping up to be something special. In this quick video, John Lynn chats with Kathryn Ayers Wickenhauser, Chief Strategy Officer at DirectTrust, about how they’re…

Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth Study

JMIR mHealth and uHealth - (Monday July 21, 2025)
Frequent Updates/ JMIR mHealth and uHealth

Background: Pain fluctuations are common in chronic musculoskeletal conditions, with periods of increased pain severity, known as pain flares, often occurring alongside worsening disease activity. These painful episodes can lead to significant impacts, including…

Readers Write: The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application Rationalization

HIStalk - (Monday July 21, 2025)
Daily Reads/ HIStalk

The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application RationalizationBy Amy Penning
Amy Penning is senior application analyst at CereCore.

Rationalize your applications, they say. It will lead to cost savings, streamline…


I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.