Technological Capabilities to Assess Digital Excellence in Hospitals in High Performing Health Care Systems: International eDelphi Exercise.
Delphi technique
digital excellence
digital maturity
hospitals, eHealth
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
18 08 2020
18 08 2020
Historique:
received:
20
11
2019
accepted:
14
05
2020
revised:
11
05
2020
entrez:
19
8
2020
pubmed:
19
8
2020
medline:
8
1
2021
Statut:
epublish
Résumé
Hospitals worldwide are developing ambitious digital transformation programs as part of broader efforts to create digitally advanced health care systems. However, there is as yet no consensus on how best to characterize and assess digital excellence in hospitals. Our aim was to develop an international agreement on a defined set of technological capabilities to assess digital excellence in hospitals. We conducted a two-stage international modified electronic Delphi (eDelphi) consensus-building exercise, which included a qualitative analysis of free-text responses. In total, 31 international health informatics experts participated, representing clinical, academic, public, and vendor organizations. We identified 35 technological capabilities that indicate digital excellence in hospitals. These are divided into two categories: (a) capabilities within a hospital (n=20) and (b) capabilities enabling communication with other parts of the health and social care system, and with patients and carers (n=15). The analysis of free-text responses pointed to the importance of nontechnological aspects of digitally enabled change, including social and organizational factors. Examples included an institutional culture characterized by a willingness to transform established ways of working and openness to risk-taking. The availability of a range of skills within digitization teams, including technological, project management and business expertise, and availability of resources to support hospital staff, were also highlighted. We have identified a set of criteria for assessing digital excellence in hospitals. Our findings highlight the need to broaden the focus from technical functionalities to wider digital transformation capabilities.
Sections du résumé
BACKGROUND
Hospitals worldwide are developing ambitious digital transformation programs as part of broader efforts to create digitally advanced health care systems. However, there is as yet no consensus on how best to characterize and assess digital excellence in hospitals.
OBJECTIVE
Our aim was to develop an international agreement on a defined set of technological capabilities to assess digital excellence in hospitals.
METHODS
We conducted a two-stage international modified electronic Delphi (eDelphi) consensus-building exercise, which included a qualitative analysis of free-text responses. In total, 31 international health informatics experts participated, representing clinical, academic, public, and vendor organizations.
RESULTS
We identified 35 technological capabilities that indicate digital excellence in hospitals. These are divided into two categories: (a) capabilities within a hospital (n=20) and (b) capabilities enabling communication with other parts of the health and social care system, and with patients and carers (n=15). The analysis of free-text responses pointed to the importance of nontechnological aspects of digitally enabled change, including social and organizational factors. Examples included an institutional culture characterized by a willingness to transform established ways of working and openness to risk-taking. The availability of a range of skills within digitization teams, including technological, project management and business expertise, and availability of resources to support hospital staff, were also highlighted.
CONCLUSIONS
We have identified a set of criteria for assessing digital excellence in hospitals. Our findings highlight the need to broaden the focus from technical functionalities to wider digital transformation capabilities.
Identifiants
pubmed: 32808938
pii: v22i8e17022
doi: 10.2196/17022
pmc: PMC7463397
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e17022Informations de copyright
©Marta Krasuska, Robin Williams, Aziz Sheikh, Bryony Dean Franklin, Catherine Heeney, Wendy Lane, Hajar Mozaffar, Kathy Mason, Sally Eason, Susan Hinder, Rachel Dunscombe, Henry W W Potts, Kathrin Cresswell. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.08.2020.
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