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

Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic.
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特别评论:使用临床决策支持系统将预测性模型引入青光眼诊所。

DOI:
10.1016/j.ogla.2020.08.006
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发表时间:
2021-01
影响因子:
--
通讯作者:
Kawamoto K
Kawamoto K
中科院分区:
其他
文献类型:
--
作者:
Stagg BC;Stein JD;Medeiros FA;Wirostko B;Crandall A;Hartnett ME;Cummins M;Morris A;Hess R;Kawamoto K

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使用人工智能和机器学习的预测建模领域的进步有可能改善临床护理和结果,但前提是这些模型的结果在临床医生为个体患者做出决策时适当地呈现给他们。临床决策支持(CDS)系统可用于实现这一目标。现代 CDS 系统是基于计算机的工具,旨在改善临床医生针对个体患者的决策。然而,并非所有 CDS 系统都是有效的。其他医学领域已证明对成功实施 CDS 系统非常重要的四项原则是 (1) 集成到临床医生工作流程中,(2) 以用户为中心的界面设计,(3) CDS 系统和规则评估,以及 (4) 基于标准的开发,以便工具可以跨卫生系统部署。
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 appropriately presented 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.
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