Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network

Torunn Elise Sivesind, Taylor Runion, Megan Branda, Lisa M. Schilling, Robert P. Dellavalle

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Background: The Observational Health Data Sciences and Informatics (OHDSI) network enables access to billions of deidentified, standardized health records and built-in analytics software for observational health research, with numerous potential applications to dermatology. While the use of the OHDSI has increased steadily over the past several years, review of the literature reveals few studies utilizing OHDSI in dermatology. To our knowledge, the University of Colorado School of Medicine is unique in its use of OHDSI for dermatology big data research. Summary: A PubMed search was conducted in August 2020, followed by a literature review, with 24 of the 72 screened articles selected for inclusion. In this review, we discuss the ways OHDSI has been used to compile and analyze data, improve prediction and estimation capabilities, and inform treatment guidelines across specialties. We also discuss the potential for OHDSI in dermatology-specifically, ways that it could reveal adherence to available guidelines, establish standardized protocols, and ensure health equity. Key Messages: OHDSI has demonstrated broad utility in medicine. Adoption of OHDSI by the field of dermatology would facilitate big data research, allow for examination of current prescribing and treatment patterns without clear best practice guidelines, improve the dermatologic knowledge base and, by extension, improve patient outcomes.

Original languageEnglish (US)
Pages (from-to)44-52
Number of pages9
JournalDermatology
Volume238
Issue number1
DOIs
StatePublished - Jan 1 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 S. Karger AG, Basel. All rights reserved.

Keywords

  • Analytics
  • Data standardization
  • Electronic health records
  • Networks
  • Observational research
  • Treatment guidelines

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