Rachel L. Richesson, Ph.D.

Affiliations: 
2006 The University of Texas School of Health Information Sciences at Houston 
Area:
Health Care Management, Computer Science
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"Rachel Richesson"

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James P. Turley grad student 2006 The University of Texas School of Health Information Sciences at Houston
 (A process for achieving comparable data from heterogeneous databases.)
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Publications

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Boyd AD, Gonzalez-Guarda R, Lawrence K, et al. (2023) Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory. Journal of the American Medical Informatics Association : Jamia
Boyd AD, Gonzalez-Guarda R, Lawrence K, et al. (2023) Equity and bias in electronic health records data. Contemporary Clinical Trials. 107238
Douthit BJ, Del Fiol G, Staes CJ, et al. (2021) A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance. Applied Clinical Informatics. 12: 675-685
Rockhold FW, Tenenbaum JD, Richesson R, et al. (2020) Design and analytic considerations for using patient-reported health data in pragmatic clinical trials: report from an NIH Collaboratory roundtable. Journal of the American Medical Informatics Association : Jamia
Richesson RL, Staes CJ, Douthit BJ, et al. (2020) Measuring implementation feasibility of clinical decision support alerts for clinical practice recommendations. Journal of the American Medical Informatics Association : Jamia
Simon GE, Richesson R, Weinfurt K, et al. (2019) Statistical Code for Clinical Research Papers. Annals of Internal Medicine. 170: 80
Cameron B, Douthit B, Richesson R. (2018) Data and knowledge standards for learning health: A population management example using chronic kidney disease. Learning Health Systems. 2: e10064
Richesson RL, Green BB, Laws R, et al. (2017) Pragmatic (trial) informatics: a perspective from the NIH Health Care Systems Research Collaboratory. Journal of the American Medical Informatics Association : Jamia
Zozus MN, Richesson RL, Walden A, et al. (2016) Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2016: 279-85
Richesson RL, Smerek MM, Blake Cameron C. (2016) A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications. Egems (Washington, Dc). 4: 1232
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