Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy

Morris, AH (通讯作者),Univ Utah, Dept Internal Med, Salt Lake City, UT 84112 USA.;Morris, AH (通讯作者),Intermt Healthcare, Dept Internal Med, Salt Lake City, UT 84103 USA.
2022-12-13
How to deliver best care in various clinical settings remains a vexing problem. All pertinent healthcare-related questions have not, cannot, and will not be addressable with costly time- and resource-consuming controlled clinical trials. At present, evidence-based guidelines can address only a small fraction of the types of care that clinicians deliver. Furthermore, underserved areas rarely can access state-of-the-art evidence-based guidelines in real-time, and often lack the wherewithal to implement advanced guidelines. Care providers in such settings frequently do not have sufficient training to undertake advanced guideline implementation. Nevertheless, in advanced modern healthcare delivery environments, use of eActions (validated clinical decision support systems) could help overcome the cognitive limitations of overburdened clinicians. Widespread use of eActions will require surmounting current healthcare technical and cultural barriers and installing clinical evidence/data curation systems. The authors expect that increased numbers of evidence-based guidelines will result from future comparative effectiveness clinical research carried out during routine healthcare delivery within learning healthcare systems.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
卷号:30|期号:1|页码:178-194
ISSN:1067-5027|收录类别:SCIE
语种
英语
来源机构
Utah System of Higher Education; University of Utah; Intermountain Healthcare; Intermountain Medical Center; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Utah System of Higher Education; University of Utah; Utah System of Higher Education; University of Utah; Intermountain Healthcare; Intermountain Medical Center; University of Texas System; University of Texas Health Science Center Houston; University of Milan; San Gerardo Hospital; University of Milan; Utah System of Higher Education; University of Utah; Utah System of Higher Education; University of Utah; Vanderbilt University; Harvard University; Harvard Medical School; Johns Hopkins University; Johns Hopkins Medicine; Medical College of Wisconsin; University System of Ohio; University of Cincinnati; Virginia Commonwealth University; University of Washington; University of Washington Seattle; University of Pennsylvania; Pennsylvania Medicine; Childrens Hospital of Philadelphia; Harvard University; Boston Children's Hospital; University of Pennsylvania; Children's Hospital Los Angeles; University of Southern California; Universite de Montreal; Harvard University; Boston Children's Hospital; Harvard Medical School; National University of Singapore; National University of Singapore; Louisiana State University System; Louisiana State University Health Sciences Center New Orleans; State University System of Florida; University of Florida; Utah System of Higher Education; University of Utah; Intermountain Healthcare; Intermountain Medical Center; Utah System of Higher Education; University of Utah; Ann & Robert H. Lurie Children's Hospital of Chicago; Harvard University; Harvard Medical School; Utah System of Higher Education; University of Utah; Aalborg University; University of Toronto; New York University; Vanderbilt University; Geriatric Research Education & Clinical Center; Mayo Clinic; Harvard University; Massachusetts General Hospital; Yale University; Medical College of Wisconsin; Case Western Reserve University; University Hospitals of Cleveland; Kaiser Permanente; Assistance Publique Hopitaux Paris (APHP); UDICE-French Research Universities; Aix-Marseille Universite; Assistance Publique-Hopitaux de Marseille; Sorbonne Universite; Universite Paris Cite; University of Toronto; Li Ka Shing Knowledge Institute; Saint Michaels Hospital Toronto; National Jewish Health; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Stanford University; Institute for Healthcare Improvement
资助信息
This work was supported by the NIH grant numbers HL36787, HHSN268200425210C/NO1-HC-45210, HHSN268200425210C/N01-HR-56171, HHSN268200536179C/N01-HR-56179, HHSN 268200536170C/N01-HR-56170, HHSN268200536175C/N01-HR-56175, and HHSN268200536165C/N01-HR-56165, and by the Deseret Foundation, and Intermountain Healthcare, Inc.
被引频次(WOS)
0
被引频次(其他)
0
180天使用计数
3
2013以来使用计数
3
EISSN
1527-974X
出版年
2022-12-13
DOI
10.1093/jamia/ocac143
学科领域
循证公共卫生
关键词
clinical clinicians computers decision-support automated clinical care closed-loop
资助机构
NIH(United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA) Deseret Foundation Intermountain Healthcare, Inc.
WOS学科分类
Computer Science, Information Systems Computer Science, Interdisciplinary Applications Health Care Sciences & Services Information Science & Library Science Medical Informatics