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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: Health Analytics

AI, ChatGPT Poised to Potentially Transform Healthcare, Science

AI, ChatGPT Poised to Potentially Transform Healthcare, Science

April 12, 2023April 13, 2023Health IT Analytics

By Mark Melchionna April 12, 2023 – According to a new report from Accenture, the growth of artificial intelligence (AI) and ChatGPT is leading to transformations in science, business, healthcare, and society, positively impacting human…

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Illinois Hospital Implements AI Platform for Utilization Management

Illinois Hospital Implements AI Platform for Utilization Management

April 11, 2023April 12, 2023Health IT Analytics

By Mark Melchionna April 11, 2023 – With the goal of maximizing staff efficiency for utilization management (UM) nurses and physician advisors, Illinois-based health system OSF Healthcare will begin using an XSOLIS artificial intelligence (AI)…

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Novel Technique Uses Clinical Data to Predict Disease Risk

Novel Technique Uses Clinical Data to Predict Disease Risk

April 11, 2023April 12, 2023Health IT Analytics

By Mark Melchionna April 11, 2023 – Published in the journal Artificial Intelligence in Medicine, new study findings describe how researchers from Children’s Hospital of Philadelphia (CHOP) and Drexel University used a new technique to…

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Machine-Learning Model Predicts Risk of Pediatric Deterioration

Machine-Learning Model Predicts Risk of Pediatric Deterioration

April 10, 2023April 12, 2023Health IT Analytics

By Sarai Rodriguez April 10, 2023 – Nationwide Children’s Hospital developed and deployed a machine-learning (ML) model that uses the deterioration risk index to promptly predict hospitalized children at risk for pediatric deterioration earlier than…

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Machine Learning Model Estimates Optimal Treatment Timing for Sepsis

Machine Learning Model Estimates Optimal Treatment Timing for Sepsis

April 10, 2023April 12, 2023Health IT Analytics

By Shania Kennedy April 10, 2023 – Researchers from Ohio State University (OSU) have developed a machine learning (ML) model that can accurately estimate optimal treatment timing for sepsis cases and support clinical decision-making, according…

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Indiana University Projects to Support Precision Medicine for Alzheimer’s

Indiana University Projects to Support Precision Medicine for Alzheimer’s

April 7, 2023April 8, 2023Health IT Analytics

By Shania Kennedy April 07, 2023 – Researchers at Indiana University (IU) School of Medicine received a 5-year, $41 million grant from the National Institute on Aging (NIA) to fund a study investigating the pathology…

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Artificial Intelligence Shows Potential for Diagnosing Pancreatic Cancer

Artificial Intelligence Shows Potential for Diagnosing Pancreatic Cancer

April 6, 2023April 6, 2023Health IT Analytics

By Mark Melchionna April 06, 2023 – Published in JMIR, new research found that the use of artificial intelligence (AI) to diagnose, predict risks of, differentiate, and segment pancreatic cancer led to high levels of accuracy,…

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ML Helps Stratify Adverse Outcome Risk in Older Cancer Patients

ML Helps Stratify Adverse Outcome Risk in Older Cancer Patients

April 6, 2023April 6, 2023Health IT Analytics

By Shania Kennedy April 06, 2023 – A study published last month in JAMA Network Open described a new machine learning (ML) tool that may assist clinicians in identifying older adults with advanced cancer who…

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Coalition for Health AI Releases Blueprint for Trustworthy AI in Healthcare

Coalition for Health AI Releases Blueprint for Trustworthy AI in Healthcare

April 5, 2023April 6, 2023Health IT Analytics

By Shania Kennedy April 05, 2023 – The Coalition for Health AI (CHAI) released its ‘Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare’ this week, which outlines recommendations to increase trustworthiness and promote…

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NIH Grant Aims to Enhance Artificial Intelligence Use in Healthcare

NIH Grant Aims to Enhance Artificial Intelligence Use in Healthcare

April 4, 2023April 5, 2023Health IT Analytics

By Mark Melchionna April 04, 2023 – After receiving $5.9 million in funding from the National Institutes of Health (NIH), two researchers from the University of Virginia (UVA) aim to determine how artificial intelligence (AI)…

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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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