Sacchi Lucia, Fux Adi, Napolitano Carlo, Panzarasa Silvia, Peleg Mor, Quaglini Silvana, Shalom Erez, Soffer Pnina, Tormene Paolo
Dipartimento di Ingegneria Industriale e dell'Informazione, University of Pavia, Italy.
Stud Health Technol Inform. 2013;192:392-6.
MobiGuide is a project devoted to the development of a patient-centric decision support system based on computerized clinical guidelines for chronic illnesses including Atrial Fibrillation (AF). In this paper we describe the process of (1) identifying guideline recommendations that will require patients to take actions (e.g., take measurement, take drug), thus impacting patients' daily-life behavior, (2) eliciting from the medical experts the corresponding set of personalized operationalized advices that are not explicitly written in the guideline (patient-tailored workflow patterns) and (3) delivering this advice to patients. The analysis of the AF guideline has resulted in four types of patient-tailored workflow patterns: therapy-related advisors, measurements advisors, suggestions for dealing with interventions that may require modulating patient therapy, and personalized packages for close monitoring of patients. We will show how these patterns can be generated using information stored in a patient health record that embeds clinical data and data about the patient's personal context and preferences.
MobiGuide是一个致力于开发以患者为中心的决策支持系统的项目，该系统基于包括心房颤动（AF）在内的慢性病计算机化临床指南。在本文中，我们描述了以下过程：（1）识别需要患者采取行动（如进行测量、服药）从而影响患者日常生活行为的指南建议；（2）从医学专家那里获取指南中未明确写明的相应个性化操作建议集（患者定制工作流程模式）；（3）将这些建议提供给患者。对AF指南的分析产生了四种类型的患者定制工作流程模式：治疗相关建议、测量建议、处理可能需要调整患者治疗的干预措施的建议以及密切监测患者的个性化套餐。我们将展示如何使用存储在患者健康记录中的信息来生成这些模式，该记录嵌入了临床数据以及有关患者个人背景和偏好的数据。
