What You Should Know:
– Elation Health, the technology company powering innovation in primary care, today unveiled a significant expansion to its technology platform, with clinical-first AI built natively across all products and now available…
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Survey Overview
The latest comprehensive study by KLAS Research reveals significant insights into physician satisfaction with Electronic Health Record (EHR) systems. This extensive analysis surveyed more than 30,000 physicians from 2022 to April 2025, providing…
Healthcare Data Breach Overview
Healthcare organizations continue to face unprecedented cybersecurity challenges, with data breaches reaching alarming financial costs that far exceed any other industry sector. According to IBM’s comprehensive cybersecurity report released on July…
The Problem with Being Too Nice
Epic founder and CEO Judy Faulkner has identified a unique challenge facing her Verona, Wisconsin-based electronic health record company: employees being too polite for their own good. This cultural…
Series C Funding Overview
Healthcare artificial intelligence startup Ultromics has successfully secured $55 million in Series C funding, marking a significant milestone in the medical AI industry. This substantial investment round demonstrates growing investor confidence…
What is Rush Connect+?
Chicago-based Rush University System for Health has revolutionized digital healthcare access with the launch of Rush Connect+, a groundbreaking $19-per-month subscription service. This innovative digital care membership represents a significant leap…
Sam Peters, Chief Product Officer at ISMS.online
With Microsoft officially ending support for Windows 10 in October 2025, healthcare organizations now face a critical technology decision: migrate to Windows 11 or risk operating on unsupported…
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Blepharospasm is a focal dystonia characterized by involuntary eyelid contractions that impair vision and social function. The subtle clinical signs of blepharospasm make early and accurate diagnosis difficult, delaying timely intervention. In this study,…
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This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrated superior performance…
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Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients. To address this, we developed a large language model-based digital patient (LLMDP) system that…
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