Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic

被引：16

作者：

Stagg, Brian C. ^{[1
,2
]}

Stein, Joshua D. ^{[3
,4
,5
]}

Medeiros, Felipe A. ^{[6
]}

Wirostko, Barbara ^{[1
]}

Crandall, Alan ^{[1
]}

Hartnett, M. Elizabeth ^{[1
]}

Cummins, Mollie ^{[7
]}

Morris, Alan ^{[8
]}

Hess, Rachel ^{[2
,9
]}

Kawamoto, Kensaku ^{[10
]}

机构：

[1] Univ Utah, Dept Ophthalmol & Visual Sci, John Moran Eye Ctr, Salt Lake City, UT USA

[2] Univ Utah, Dept Populat Hlth Sci, Salt Lake City, UT USA

[3] Univ Michigan, Kellogg Eye Ctr, Ctr Eye Policy & Innovat, Dept Opthalmol & Visual Sci, Ann Arbor, MI 48109 USA

[4] Univ Michigan, Inst Healthcare Policy & Innovat, Ann Arbor, MI 48109 USA

[5] Univ Michigan, Sch Publ Hlth, Dept Hlth Management & Policy, Ann Arbor, MI 48109 USA

[6] Duke Univ, Duke Eye Ctr, Durham, NC USA

[7] Univ Utah, Coll Nursing, Salt Lake City, UT 84112 USA

[8] Univ Utah, Dept Internal Med, Div Resp Crit Care & Occupat Pulm Med, Salt Lake City, UT 84112 USA

[9] Univ Utah, Dept Internal Med, Salt Lake City, UT 84112 USA

[10] Univ Utah, Dept Biomed Informat, Salt Lake City, UT USA

来源：

OPHTHALMOLOGY GLAUCOMA | 2021年 / 4卷 / 01期

基金：

美国国家卫生研究院;

关键词：

glaucoma; clinical decision support; predictive modeling; machine learning; artificial intelligence; INTERVENTIONS; DESIGN; IMPLEMENTATION; INFORMATION; PROGRESSION; PHYSICIANS; MEDICINE; PLATFORM; ADOPTION; SUCCESS;

D O I：

10.1016/j.ogla.2020.08.006

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

Advances in the field of predictive modeling using artificial intelligence and machine learning have the potential to improve clinical care and outcomes, but only if the results of these models are presented appropriately to clinicians at the time they make decisions for individual patients. Clinical decision support (CDS) systems could be used to accomplish this. Modern CDS systems are computer-based tools designed to improve clinician decision making for individual patients. However, not all CDS systems are effective. Four principles that have been shown in other medical fields to be important for successful CDS system implementation are (1) integration into clinician workflow, (2) user-centered interface design, (3) evaluation of CDS systems and rules, and (4) standards-based development so the tools can be deployed across health systems. (C) 2020 by the American Academy of Ophthalmology

引用

页码：5 / 9

页数：5

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