Netsmart announced that along with Epic Systems and MedAllies it launched a closed-loop data exchange referral system with LifeWorks NorthWest, a behavioral health provider, with the Portland, Oregon-based OCHIN health information exchange. The partnership facilitates…
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Machine learning and artificial intelligence (AI/ML) models in healthcare may exacerbate health biases. Regulatory oversight is critical in evaluating the safety and effectiveness of AI/ML devices in clinical settings. We conducted a scoping review…
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Openness around quality and outcomes on a scale like never before is needed to understand and solve problems, prevent harm and complexity, focus resources effectively, tackle the big issues, and restore public confidence in…
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What You Should Know:
– In an ongoing dispute over patient data privacy, Epic Systems has announced it will not appeal the Carequality Steering Committee’s resolution, urging Particle Health to do the same and allow…
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EHR Due Diligence: Five Questions That Could Save MillionsBy Kem Graham
Kem Graham, MS is VP of sales for CliniComp.
Electronic health records (EHRs) have become an indispensable tool in healthcare today. As…
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In this engaging interview with Ritesh Patel, a veteran in the digital health space, we dive deep into the evolution of healthcare technology.Ritesh shares his insights from witnessing the early days of digital health…
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What You Should Know:
– Nirvana, a health tech startup leveraging AI to revolutionize insurance verification and eligibility secures $24.2M in Series A funding led by Northzone, a global VC firm, with participation from Inspired…
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Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and…
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“The bottom line is that AI regulation is really about transparency. We don’t know everything.”
Those words were spoken by Luke Ralston — who has been a biomedical engineer and scientific reviewer at the FDA…
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BOSTON – The ability to change how healthcare providers communicate with patients with artificial intelligence isn’t just about accuracy, transparency, fairness and data model maintenance, it’s figuring out how to meet personalization challenges.What patients want…
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