Ten key considerations for the successful optimization of large-scale health information technology
Author(s) -
Kathrin Cresswell,
David W. Bates,
Aziz Sheikh
Publication year - 2016
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/ocw037
Subject(s) - key (lock) , process (computing) , computer science , risk analysis (engineering) , scale (ratio) , process management , quality (philosophy) , point (geometry) , health care , knowledge management , business , computer security , political science , philosophy , physics , geometry , mathematics , epistemology , quantum mechanics , operating system , law
Implementation and adoption of complex health information technology (HIT) is gaining momentum internationally. This is underpinned by the drive to improve the safety, quality, and efficiency of care. Although most of the benefits associated with HIT will only be realized through optimization of these systems, relatively few health care organizations currently have the expertise or experience needed to undertake this. It is extremely important to have systems working before embarking on HIT optimization, which, much like implementation, is an ongoing, difficult, and often expensive process. We discuss some key organization-level activities that are important in optimizing large-scale HIT systems. These include considerations relating to leadership, strategy, vision, and continuous cycles of improvement. Although these alone are not sufficient to fully optimize complex HIT, they provide a starting point for conceptualizing this important area.
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