@Article{info:doi/10.2196/32994,
author="Duncan, Rhona
and Eden, Rebekah
and Woods, Leanna
and Wong, Ides
and Sullivan, Clair",
title="Synthesizing Dimensions of Digital Maturity in Hospitals: Systematic Review",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="30",
volume="24",
number="3",
pages="e32994",
keywords="digital maturity; digital capability; eHealth; digital hospitals; capability model; maturity model; literature review; electronic medical records",
abstract="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. ",
issn="1438-8871",
doi="10.2196/32994",
url="https://www.jmir.org/2022/3/e32994",
url="https://doi.org/10.2196/32994",
url="http://www.ncbi.nlm.nih.gov/pubmed/35353050"
}