Cited by 7Electronic Health Records SystemsPatient Safety and Medication ErrorsArtificial Intelligence in Healthcare and Education

Decision support and patient safety: the time has come

Hasley, Steve K.·2011·American Journal of Obstetrics and Gynecology

Abstract

Decision support (DS) may help to improve patient safety by helping clinicians improve the evaluation, assessment, and treatment of patients. By providing best practice guidelines at critical decision points, errors can be prevented. Location of these decision points varies in different care environments, therefore DS must be customizable. Being able to customize the design, functionality, and clinical context of how a DS rule behaves may help each unique clinical environment improve performance. The ability to review aggregate data on the behavior of both the DS system and the providers will be necessary to further adapt the DS rule to the setting. A robust tool set and ongoing institutional engagement are critical elements for a successful DS implementation.

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Crossref · 10.1016/j.ajog.2010.10.901

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References 25 · Cited by 7

Authors
Hasley, S. K.
Affiliations
Magee-Womens Hospital (US)
Corresponding author
Hasley, Steve K.
Venue
American Journal of Obstetrics and Gynecology
Publisher
Elsevier BV
Published
2011-06
Volume
204
Issue
6
Pages
461-465
ISSN
0002-9378 (ISSN-L)
OpenAlex
W2011698466
Cited by
7
References
25
Citations by year
2017: 1 · 2015: 2 · 2013: 3 · 2012: 1
FWCI
2.40
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Obstetrics and Gynecology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
clinical decision support, patient safety, best practice guidelines, error prevention, institutional engagement
MeSH terms
Humans, Medical Informatics, Safety, Decision Support Systems, Clinical, Electronic Health Records

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