Salmasian Hojjat, Tran Tran H, Friedman Carol
Columbia University, New York, NY.
NewYork-Presbyterian Hospital, New York, NY ; St. John's University, Queens, NY.
AMIA Annu Symp Proc. 2014 Nov 14;2014:1911-9. eCollection 2014.
Inappropriate medications use (IMU) is a serious issue of global concern that leads to a waste of resources and potentially harms the patients. IMU can usually be identified by extracting information about the patient's conditions and treatments, and comparing them with "medication appropriateness criteria". To enable automation of these criteria, we developed a formal representation for them, which we called Objective Medication Appropriateness Criteria (OMAC). OMAC represents four aspects of the criteria: trigger, rules, action and metadata. Our evaluation showed that OMAC can completely represent explicitly defined medication appropriateness criteria using links to external knowledge sources. OMAC is the first formal representation for medication appropriateness criteria, and will enable development of structured rules for appropriate use of medications that can be implemented using standards for clinical decision support.
不适当用药（IMU）是一个全球关注的严重问题，它会导致资源浪费并可能对患者造成伤害。通常可以通过提取有关患者病情和治疗的信息，并将其与“用药适宜性标准”进行比较来识别IMU。为了实现这些标准的自动化，我们为它们开发了一种形式化表示，我们称之为客观用药适宜性标准（OMAC）。OMAC代表了标准的四个方面：触发因素、规则、行动和元数据。我们的评估表明，OMAC可以通过链接到外部知识源来完全表示明确界定的用药适宜性标准。OMAC是用药适宜性标准的首个形式化表示，将有助于制定可使用临床决策支持标准来实施的合理用药结构化规则。
