Publications by authors named "M E Frisse"

The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision medicine methods identify phenotypes of patients with less-common responses to treatment or unique healthcare needs. AI leverages sophisticated computation and inference to generate insights, enables the system to reason and learn, and empowers clinician decision making through augmented intelligence.

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There is a growing gap between available science and evidence and the ability of service providers to deliver high-quality care in a cost-effective way to the entire population. We believe that the chasm between knowledge and action is due to a lack of concerted effort among all organizations that deliver health care services across the life span of patients. Broad participation is needed and necessitates a far more explicit and concerted public-private partnership focused on large-scale transformation.

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Electronic health record (EHR) use throughout the United States has advanced considerably, but functionality to support the optimal care of children has been slower to develop and deploy. A previous team of experts systematically identified gaps in EHR functionality during collaborative work from 2010 to 2013 that produced the Children's EHR Format (Format), funded under the Children's Health Insurance Program Reauthorization Act of 2009, Public Law 111-3. After that, a team of practitioners, software developers, health policy leaders, and other stakeholders examined the Format's exhaustive list of 547 EHR functional requirements in 26 topic areas and found them to be valuable but in need of further refinement and prioritization.

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