Adopting an American framework to optimize nursing admission documentation in an Australian health organization.
electronic clinical documentation
electronic medical record
health informatics
nursing admission
nursing informatics
optimization
Journal
JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
28
06
2021
revised:
18
05
2022
accepted:
04
07
2022
entrez:
13
7
2022
pubmed:
14
7
2022
medline:
14
7
2022
Statut:
epublish
Résumé
Apply and modify the American Essential Clinical Dataset (ECD) approach to optimize the data elements of an electronic nursing admission assessment form in a metropolitan Australian local health district. We used the American ECD approach but made modifications. Our approach included (1) a review of data, (2) a review of current admission practice via consultations with nurses, (3) a review of evidence and policies, (4) workshops with nursing and informatics teams in partnership with the electronic medical record (eMR) vendor, and (5) team debrief sessions to consolidate findings and decide what data elements should be kept, moved, or removed from the admission form. Of 165 data elements in the form, 32% ( Application of a modified ECD approach allowed the team to identify opportunities for significantly reducing and reorganizing data elements in the eMR to enhance the utility, quality, visibility, and value of nursing admission data. We found the modified ECD approach effective for identifying data elements and work processes that were unnecessary and duplicated. Our findings and methodology can inform improvements in nursing clinical practice, information management, and governance in a digital health age.
Identifiants
pubmed: 35821796
doi: 10.1093/jamiaopen/ooac054
pii: ooac054
pmc: PMC9272497
doi:
Types de publication
Journal Article
Langues
eng
Pagination
ooac054Informations de copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association.
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