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
中科院分区:
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
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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