Michel Martha, Trafton Jodie, Martins Susana, Wang Dan, Tu Samson, Johnson Naquell, Goldstein Mary K.
VA Palo Alto Health Care System, Center for Health Care Evaluation (Dr. Michel, Dr. Trafton, Dr. Martins, Dr. Wang, Ms. Johnson); Stanford University Medical School (Dr. Michel, Dr. Trafton, Dr. Martins, Mr. Tu); Geriatrics Research Education and Clinical Center, VA Palo Alto Health Care System, and Center for Primary Care and Outcomes, Stanford University Medical School (Dr. Martins, Dr. Goldstein)
The purpose of this paper is to describe potential improvements in patient safety resulting from design decisions in the development of a computerized decision support system (DSS) for managing opioid therapy for chronic noncancer pain. ATHENA-DSS is an automated decision support system developed in a collaboration between Stanford University and the U.S. Department of Veterans Affairs (VA) to increase guideline-adherent prescribing and to change physician behavior. Based on data in patients’ computerized medical record and knowledge of the clinical domain encoded in a knowledge base, the system gives patient-specific recommendations to primary care providers at the point of care. ATHENA-Opioid Therapy is based on a previous system, ATHENA-Hypertension, and is designed to follow the VA/Department of Defense clinical practice guideline for the management of opioid therapy for chronic noncancer pain. We describe the rationale for development of decision support system elements and a graphical user interface to increase patient safety during primary care treatment for chronic pain. The ATHENA-Opioid Therapy system focuses on reducing patient risk in four main ways by: (1) identifying patients with comorbidities or concurrent prescriptions that raise risk for overdose and recommending more conservative dosing; (2) identifying patients with mental health problems that increase risk of medication abuse and recommending referral to psychiatric care and close monitoring; (3) assisting doctors with complex pharmacologic calculations to reduce the risk of mistakes when initiating, titrating, or switching medications; and (4) presenting relevant information to clinicians in an easy-to-use format. We describe a system evaluation plan that we believe is essential to ensure that deployment of ATHENA-Opioid Therapy leads to improvements in patient safety and increases in guideline-concordant prescribing, and we discuss the limitations of this system for patient safety efforts.
本文旨在描述在开发用于管理慢性非癌性疼痛阿片类药物治疗的计算机化决策支持系统(DSS)过程中,设计决策所带来的患者安全潜在改进。ATHENA-DSS是斯坦福大学与美国退伍军人事务部(VA)合作开发的自动化决策支持系统,旨在增加遵循指南的处方开具并改变医生行为。该系统基于患者电子病历中的数据以及知识库中编码的临床领域知识,在护理点为初级保健提供者提供针对患者的建议。ATHENA-阿片类药物治疗基于先前的系统ATHENA-高血压,并旨在遵循VA/国防部关于慢性非癌性疼痛阿片类药物治疗管理的临床实践指南。我们描述了决策支持系统元素和图形用户界面的开发原理,以提高慢性疼痛初级护理治疗期间的患者安全性。ATHENA-阿片类药物治疗系统主要通过以下四种方式降低患者风险:(1)识别患有合并症或同时开具增加过量风险处方的患者,并建议采用更保守的剂量;(2)识别患有增加药物滥用风险的心理健康问题的患者,并建议转诊至精神科护理并密切监测;(3)协助医生进行复杂的药理学计算,以降低开始、滴定或更换药物时出错的风险;(4)以易于使用的格式向临床医生提供相关信息。我们描述了一个系统评估计划,我们认为该计划对于确保ATHENA-阿片类药物治疗的部署能够提高患者安全性并增加符合指南的处方开具至关重要,并且我们讨论了该系统在患者安全工作方面的局限性。