The Evolution and Typology of Learning Health System Hospitals and other Health Information Interested Hospitals in the US.
PCORI
electronic data driven
health IT
health information interested hospitals
learning focused
learning health systems
mHealth
meaningful use stage three
medical home/safety nets
patient-centric care
Journal
Perspectives in health information management
ISSN: 1559-4122
Titre abrégé: Perspect Health Inf Manag
Pays: United States
ID NLM: 101219871
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
29
8
2022
pubmed:
30
8
2022
medline:
31
8
2022
Statut:
epublish
Résumé
This study identifies the type, distribution, and interactions of US hospitals that identify as electronic-data-driven, patient-centric, and learning-focused. Such facilities, termed Health Information Interested (HII) hospitals in this study, meet the defining criteria for one or more of the following designations: learning health systems (LHS), Health Information Technology for Economic and Clinical Health (HITECH) meaningful use stage three compliant (MU3), Patient-Centered Outcomes Research Institute (PCORI) funded, or medical home/safety net (MH/SN) hospital. The American Hospital Association (AHA) IT supplemental survey and other supporting data spanning 2013 to 2018 were used to identify HII hospitals. HII hospitals increased from 19.9 percent to 62.4 percent of AHA reporting hospitals from 2013 to 2018. HII subcategories in 2018 such as the full LHS (37.2 percent) and MU3 (46.9 percent) were dominant, with 33.2 percent having both designations. This indicates increased interest in patient-centric, learning-focused care using electronic health data. This information can enable health information management (HIM) professionals to be aware of programs or approaches that can facilitate learning-focused, patient-centric care using electronic health data within health systems.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1bInformations de copyright
Copyright © 2022 by the American Health Information Management Association.
Références
Ann Fam Med. 2009 Mar-Apr;7(2):100-3
pubmed: 19273863
J AHIMA. 2014 May;85(5):38-43
pubmed: 24938034
Health Res Policy Syst. 2019 Aug 9;17(1):79
pubmed: 31399114
BMC Med Inform Decis Mak. 2019 Aug 8;19(1):157
pubmed: 31395102
Learn Health Syst. 2020 Feb 18;5(2):e10221
pubmed: 33889731
Qual Life Res. 2016 Aug;25(8):2109-16
pubmed: 26914103
J Comp Eff Res. 2018 Jun;7(6):603-614
pubmed: 29478331
Adv Sch Ment Health Promot. 2016;9(3-4):201-218
pubmed: 28377792
Healthc Financ Manage. 2013 Feb;67(2):56-62, 64
pubmed: 23413670
J Am Med Inform Assoc. 2015 Jan;22(1):43-50
pubmed: 25342177
Health Aff (Millwood). 2012 Aug;31(8):1690-7
pubmed: 22869646
Acad Med. 2015 Oct;90(10):1331-9
pubmed: 25993278
N Engl J Med. 2016 Oct 20;375(16):1505-1507
pubmed: 27797307
J Am Med Inform Assoc. 2014 Jul-Aug;21(4):578-82
pubmed: 24821743
Harv Bus Rev. 1993 Jul-Aug;71(4):78-91
pubmed: 10127041
Hawaii J Med Public Health. 2012 Oct;71(10):287-93
pubmed: 23115749
Public Health Rep. 2018 Jan/Feb;133(1):3-21
pubmed: 29182894
Learn Health Syst. 2016 Nov 29;1(1):e10020
pubmed: 31245555
Learn Health Syst. 2016 Oct 21;1(1):e10015
pubmed: 31245552
JMIR Res Protoc. 2020 May 7;9(5):e16827
pubmed: 32379052
Learn Health Syst. 2017 May 31;1(4):e10025
pubmed: 31245567
Sci Transl Med. 2010 Nov 10;2(57):57cm29
pubmed: 21068440
Yearb Med Inform. 2017 Aug;26(1):16-23
pubmed: 28480469