S
Stephen B. Johnson
Researcher at Cornell University
Publications - 20
Citations - 1579
Stephen B. Johnson is an academic researcher from Cornell University. The author has contributed to research in topics: Health informatics & Informatics. The author has an hindex of 8, co-authored 20 publications receiving 1249 citations. Previous affiliations of Stephen B. Johnson include New York University.
Papers
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Journal ArticleDOI
Renin-Angiotensin-Aldosterone System Inhibitors and Risk of Covid-19.
Harmony R. Reynolds,Samrachana Adhikari,Claudia Pulgarin,Andrea B. Troxel,Eduardo Iturrate,Stephen B. Johnson,Anais Hausvater,Jonathan D. Newman,Jeffrey S. Berger,Sripal Bangalore,Stuart D. Katz,Glenn I. Fishman,Dennis Kunichoff,Yu Chen,Gbenga Ogedegbe,Judith S. Hochman +15 more
TL;DR: There was no association between any single medication class and an increased likelihood of a positive test for Covid-19 or in the risk of severe Covd-19 among patients who tested positive in association with five common classes of antihypertensive medications.
Journal ArticleDOI
A review of approaches to identifying patient phenotype cohorts using electronic health records
Chaitanya Shivade,Preethi Raghavan,Eric Fosler-Lussier,Peter J. Embi,Noémie Elhadad,Stephen B. Johnson,Albert Lai +6 more
TL;DR: There are a variety of approaches for classifying patients into a particular phenotype, and good performance is reported on datasets at respective institutions, however, no system makes comprehensive use of electronic medical records addressing all of their known weaknesses.
Journal ArticleDOI
Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.
Evan Sholle,Laura C. Pinheiro,Prakash Adekkanattu,Marcos A Davila,Stephen B. Johnson,Jyotishman Pathak,Sanjai Sinha,Cassidie Li,Stasi A Lubansky,Monika M. Safford,Thomas R. Campion +10 more
TL;DR: This work identifies black and Hispanic patients from unstructured clinical notes and assesses differences between patients with or without structured race/ethnicity data to address deficiencies in structured electronic health record (EHR) data for race and ethnicity.
Journal ArticleDOI
AMIA Board White Paper: AMIA 2017 core competencies for applied health informatics education at the master’s degree level
Annette L. Valenta,Eta S. Berner,Suzanne Austin Boren,Gloria J. Deckard,Christina Eldredge,Douglas B. Fridsma,Cynthia S. Gadd,Yang Gong,Todd R. Johnson,Josette Jones,E. LaVerne Manos,Kirk T. Phillips,Nancy K. Roderer,Nancy K. Roderer,Douglas Rosendale,Anne M. Turner,Günter Tusch,Jeffrey J. Williamson,Stephen B. Johnson +18 more
TL;DR: The foundational domains with examples of key aspects of competencies (knowledge, skills, and attitudes) that are intended for curriculum development and accreditation quality assessment for graduate (master's level) education in applied health informatics are presented.
Proceedings Article
Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers.
Evan Sholle,Joseph Kabariti,Stephen B. Johnson,John P. Leonard,Jyotishman Pathak,Vinay I. Varughese,Curtis L. Cole,Thomas R. Campion +7 more
TL;DR: To the knowledge, this is the first complete description of a methodology for electronic patient data acquisition and provisioning that ignores data harmonization at the time of initial storage in favor of downstream transformation to address specific research questions and applications.