%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 24
%N 3
%P e32994
%T Synthesizing Dimensions of Digital Maturity in Hospitals: Systematic Review
%A Duncan,Rhona
%A Eden,Rebekah
%A Woods,Leanna
%A Wong,Ides
%A Sullivan,Clair
%+ School of Information Systems, Queensland University of Technology, 2 George Street, Brisbane, 4000, Australia, 61 434237975, rg.eden@qut.edu.au
%K digital maturity
%K digital capability
%K eHealth
%K digital hospitals
%K capability model
%K maturity model
%K literature review
%K electronic medical records
%D 2022
%7 30.3.2022
%9 Review
%J J Med Internet Res
%G English
%X Background: Digital health in hospital settings is viewed as a panacea for achieving the “quadruple aim” of health care, yet the outcomes have been largely inconclusive. To optimize digital health outcomes, a strategic approach is necessary, requiring digital maturity assessments. However, current approaches to assessing digital maturity have been largely insufficient, with uncertainty surrounding the dimensions to assess. Objective: The aim of this study was to identify the current dimensions used to assess the digital maturity of hospitals. Methods: A systematic literature review was conducted of peer-reviewed literature (published before December 2020) investigating maturity models used to assess the digital maturity of hospitals. A total of 29 relevant articles were retrieved, representing 27 distinct maturity models. The articles were inductively analyzed, and the maturity model dimensions were extracted and consolidated into a maturity model framework. Results: The consolidated maturity model framework consisted of 7 dimensions: strategy; information technology capability; interoperability; governance and management; patient-centered care; people, skills, and behavior; and data analytics. These 7 dimensions can be evaluated based on 24 respective indicators. Conclusions: The maturity model framework developed for this study can be used to assess digital maturity and identify areas for improvement. 
%M 35353050
%R 10.2196/32994
%U https://www.jmir.org/2022/3/e32994
%U https://doi.org/10.2196/32994
%U http://www.ncbi.nlm.nih.gov/pubmed/35353050