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Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study

Implementation Science – Risk assessment with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments into routine care. MeTree, a web-based patient-facing health risk assessment tool, was …

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GUARDD-US Clinical Sites

Baylor Scott and White Health Principal Investigator: Heather Kitzman Eskenazi Health Principal Investigator: Michael Eadon Icahn School of Medicine at Mount Sinai Principal Investigator: Carol Horowitz Indiana University Health Principal Investigator: Michael Eadon The Institute for Family Health Principal Investigator: Neil Calman Meharry Medical College Principal Investigator: Rajbir Singh Nashville General Hospital Principal Investigator: Rajbir …

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Genetic testing to Understand and Address Renal Disease Disparities: The GUARDD Study

In this genomic medicine implementation pilot project, the team conducted a randomized trial in a network of community health centers and primary care facilities to study processes, effects and challenges of incorporating information for apolipoprotein L1 (APOL1)-attributable genetic risk for end stage kidney disease in patients of African ancestry with hypertension. Principal Investigator Carol R. …

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Andrea Ramirez to present at the AMIA 2019 Annual Symposium

Dr. Andrea H. Ramirez will present her research, Extracting Drug Exposure Epochs and Drug Response Outcomes from Electronic Health Records, at the American Medical Informatics Association (AMIA) 2019 Annual Symposium on November 18. Her research was selected out of a record number of submissions to AMIA this year — over 1,200 across all categories! Dr. Ramirez is …

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Toward rapid learning in cancer treatment selection: an analytical engine for practice-based clinical data

Journal of Biomedical Informatics – The promise of leveraging vast medical record data to guide clinical decision making has created growing support for the development of “Rapid Learning Systems” (RLS) that gather and leverage practice-based clinical evidence for real-time clinical decision support. The need for such systems is particularly evident within the field of oncology, where …

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