Machine learning (ML) models trained for triggering clinical decision support (CDS) are typically either accurate or interpretable but not both. Scaling CDS to the panoply of clinical use cases while mitigating risks to patients…
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The recent availability of electronic health records (EHRs) have provided enormous opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has become a major concern that limits data sharing across hospital settings and…
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Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry…
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Generative AI systems such as chatGPT produce impressive summaries of documents on the Internet, including clinical studies. But Atropos Health can turn queries into searches of detailed health care data, including:
Data extracted from a…
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By Hannah Nelson
May 08, 2023 – Encounters are a heterogeneous component of EHR data, limiting the full potential of leveraging real-world data for clinical research, according to a study published in JAMIA.
Researchers demonstrated the successful…
Antidepressant selection is largely a trial-and-error process. We used electronic health record (EHR) data and artificial intelligence (AI) to predict response to four antidepressants classes (SSRI, SNRI, bupropion, and mirtazapine) 4 to 12 weeks…
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News OSF HealthCare (IL) selects AI-powered Cortex utilization management technology from Xsolis. UPMC CTO Chris Carmody says the health system plans to use AI to connect patients with clinical trials based on EHR data…
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Oracle Health this week announced that its Cerner Enviza life sciences division will work with John Snow Labs to develop a new artificial intelligence methodology to enhance computerized queries, or phenotyping, of digital patient…
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By Hannah Nelson April 10, 2023 – FDA’s Sentinel Innovation Center has partnered with John Snow Labs and Cerner Enviza, an Oracle company, to create AI tools to extract critical information from EHR notes for…
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The following is a guest article by Sarah Bavar, RN, BSN, Director at ReMedi Health Solutions.
At ReMedi, we frequently support health systems going through transitions at various stages of the EHR life cycle. Along…
