TY - JOUR
T1 - Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network
AU - Sivesind, Torunn Elise
AU - Runion, Taylor
AU - Branda, Megan
AU - Schilling, Lisa M.
AU - Dellavalle, Robert P.
N1 - Publisher Copyright:
© 2021 S. Karger AG, Basel. All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Analytics
KW - Data standardization
KW - Electronic health records
KW - Networks
KW - Observational research
KW - Treatment guidelines
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U2 - 10.1159/000514536
DO - 10.1159/000514536
M3 - Review article
C2 - 33735862
AN - SCOPUS:85103462456
SN - 1018-8665
VL - 238
SP - 44
EP - 52
JO - Dermatology
JF - Dermatology
IS - 1
ER -