Distribution shifts remain a problem for the safe application of regulated medical AI systems, and may impact their real-world performance if undetected. Postmarket shifts can occur for example if algorithms developed on data from…
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Patient experience monitoring specialist Press Ganey has expanded its collaboration with Epic, focusing on nursing-related safety outcomes, integrating its National Database of Nursing Quality Indicators (NDNQI) with Epic’s electronic health record platform.The NDNQI collects…
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What You Should Know:
– Press Ganey, a provider of healthcare experience measurement and data analysis, announced a collaboration with Epic to integrate nurse-sensitive indicators (NSIs) and outcomes directly into Press Ganey’s National Database of…
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What You Should Know:
– Verantos, the leader in high-quality real-world evidence (RWE) forms a strategic partnership with CuriMeta to expand Verantos’ Research Network with de-identified data from 7 million patients,
– The collaboration will enhance…
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Evidence-based decisions on spending require a system that can handle data from multiple sites and provide real-time insights, writes Lee JacksonIntegrated care is about providing seamless services across a spectrum of healthcare providers. For…
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Veradigm to Leverage ScienceIO’s Leading Healthcare Artificial Intelligence (AI) Platform on the Company’s Large-Scale, High-Quality Data Set to Build Advanced, Private Language Models for Healthcare
Expected to Provide Highly Differentiated and More Advanced Products to…
By Hannah Nelson
February 28, 2024 – Regenstrief Institute has issued its semiannual release of LOINC (Logical Observation Identifiers Names and Codes), which includes updates to support health data exchange for various interoperability use cases.
LOINC is a global…
Poor quality data is partly to blame for the failure to shift care out of hospitals and into the community. But simple steps can make data an enabler of change, writes The King’s Fund’s…
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It may seem obvious that patients’ medication records should be accessible to their doctors, but that’s not always the case. While technology has made it possible for hospitals to amass a mountain of patient…
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One of the biggest problems with AI solutions in healthcare right now is getting quality data that you can use to train your AI models. When you train an AI model using generic data,…
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