With the rapid expansion of medical knowledge, clinicians must spend significant time and effort to stay abreast of advances in their field. Can AI help?
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“Access to complex concepts captured in clinician notes or medical images has been limited by manual processes, impeding the ability to study large, representative, and diverse populations in depth,” said Michael Simonov, MD, Truveta's vice president of product. “With the most advanced AI, trained by clinical experts, Truveta delivers complex clinical concepts – as well as de-identified medical images and their associated metadata – for study integrated with the most complete, timely, and clean EHR data.” Learn more about our newly expanded concepts from clinical notes and millions of de-identified images now available for scientifically rigorous research in Truveta Data: https://tr.vet/4djDoV5
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Over the past few months I have shared on more than few occasions my optimism that AI will have a very beneficial impact in health care, and also my belief that we must take the time required to fully vet it before placing any trust in its conclusions – something that will require a continual process of validation. Just as importantly, it is crucially important that the people who use AI technology – our physicians and clinicians – be involved in its development, selection and ultimately where it is used and how the veracity of its findings are vetted. But to see AI-generated alerts escalate care when patients’ conditions change is exciting! News Medical https://bit.ly/3L0zof3
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A recent article written by Ukraine #AI development firm SciForce focuses on Jackalope, a software solution that automates the transformation of complex medical data into standardized formats of Observational Medical Outcomes Partnership?(OMOP) Common Data Model (CDM) and #SNOMEDCT, and enables healthcare providers, practitioners and scientists to effectively use real-world medical data for research and delivering enhanced patient care. Read the article to learn how the AI-enhanced solution can efficiently integrate, standardize, and interpret complex health datasets: https://lnkd.in/gz2iQ2jD
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An AI early-warning system has shown promising results in healthcare! A recent study published in the Canadian Medical Association Journal reveals a 26% decrease in unexpected deaths among patients at St. Michael’s Hospital's general internal medicine unit when utilizing the AI tool. This innovation is making a significant impact on patient care and outcomes. #AI #Healthcare #PatientCare #MedicalResearch
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Stanford Medicine physicians have a new artificial intelligence tool to assist them when they message patients about test results. The technology drafts an interpretation of clinical test and lab results and explains them in a message using plain language, which a physician then reviews and approves. https://lnkd.in/gkbHWqdX
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AI can enhance healthcare by reaching more patients and improving outcomes. Learn how leaders can ensure their clinical teams understand its impact and support its implementation. https://lnkd.in/eqpMyjFU
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Did you know a 2016 study found that Physicians spend roughly 50% of their time on administrative tasks rather than seeing patients? In this post, we explore how the adoption of generative AI technology within clinical operations at hospitals and clinics can both increase patient satisfaction while optimizing clinical operations. https://lnkd.in/gPzCtyTj
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?? This is HUGE - AI early warning system reduces hospital deaths by 26% ?? A Canadian study shows AI’s potential in healthcare. St. Michael’s Hospital in Toronto deployed an AI tool, CHARTwatch, which continuously monitors patient data to predict health deterioration. By sending alerts to clinicians, it has reduced unexpected hospital deaths by 26%. This system helps busy medical teams intervene earlier, improving patient care without replacing human judgment. Read more here: https://lnkd.in/ghHJ2Ygq #AI #HealthcareInnovation #PatientCare #DigitalHealth #AIinMedicine
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AI can enhance healthcare by reaching more patients and improving outcomes. Learn how leaders can ensure their clinical teams understand its impact and support its implementation. https://lnkd.in/dVxg_5WT
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