Hospitals and health systems need to make time for innovation – both in exploring new technologies as well as meeting with existing vendors, Martin Hougaard, general manager, emerging markets, at Verato (Booth 2358), a…
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What Is Retrieval-Augmented Generation?
With RAG, an LLM is better positioned to optimize its output before generating a response, says Tehsin Syed, Amazon Web Services’ general manager of health AI. This is valuable when a…
Citizen Health, a company that helps patients oversee rare and complex health conditions, announced it raised $14.5 million in seed funding.Transformation Capital led the round with participation from Wavemaker 360 and prominent angel investors.
The…
Community health centres, or puskesmas, in the Indonesian province of West Java, south of capital Jakarta, will leverage generative AI to augment their capabilities to address critical health issues. The Sumedang regency recently tied up…
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What You Should Know:
– VieCure, a leading cancer care company, announced today that it’s integrating DrFirst’s e-prescribing and medication management solutions into its clinical decision support system.
– VieCure is a well-established point-of-care intelligence system…
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As a clinical informaticist who has been around the block more than a couple of times, I know I have more knowledge than the average physician about how EHRs work. As an informaticist who…
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Microsoft and MITRE have developed a tool that works like an automated adversarial attack library for those that lack a deep background in machine learning or artificial intelligence, providing insights on how these attacks…
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According to a 2021 HIMSS survey, 73% of healthcare provider organizations have legacy information systems. They’re costly to maintain and a pain to keep up.The question is, what to do about them?
Healthcare IT News…
The OMOP Common Data Model allows for the systematic analysis of disparate observational databases. The concept behind this approach is to transform data contained within those databases into a common format (data model) as well as a common representation (terminologies, vocabularies, coding schemes), and then perform systematic analyses using a library of standard analytic routines that have been written based on the common format.
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