Open AccessGARDE: a standards-based clinical decision support platform for identifying population health management cohorts
Author(s) -
Richard L. Bradshaw,
Kensaku Kawamoto,
Kimberly A. Kaphingst,
Wendy Kohlmann,
Rachel Hess,
Michael Flynn,
Claude Nanjo,
Phillip B. Warner,
Jianlin Shi,
Keaton Morgan,
Kadyn E. Kimball,
Pallavi Ranade-Kharkar,
Ophira Ginsburg,
Melody S. Goodman,
Rachelle Chambers,
Devin Mann,
Scott P. Narus,
Javier González,
Shane Loomis,
Priscilla Chan,
Rachel Monahan,
Emerson P Borsato,
David Shields,
Douglas K. Martin,
Cecilia Kessler,
Guilherme Del Fiol
Publication year - 2022
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocac028
Subject(s) - interoperability , software deployment , population , clinical decision support system , computer science , health care , cloud computing , personalization , decision support system , ehealth , analytics , process management , data science , medicine , world wide web , software engineering , engineering , data mining , operating system , environmental health , economics , economic growth
Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals.