Séroussi Brigitte, Galopin Alexandre, Gaouar Mouhssin, Pereira Suzanne, Bouaud Jacques
Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, Paris, France; INSERM, U1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS (UMR_S 1142), Bobigny, France.
Vidal, Issy-les-Moulineaux, France.
Stud Health Technol Inform. 2017;245:1148-1152.
Clinical decision support systems (CDSSs) have proven to potentially improve the compliance of physician decisions with clinical practice guidelines (CPGs). However, actual patients suffer from multiple conditions and CPGs that are usually single-disease-focused provide disease-specific recommendations with no support on how to manage adverse interactions between the recommended treatments. We have developed GO-DSS, a CDSS that implements an ontological reasoning process to perform CPG reconciliation. GO-DSS is applied to the concurrent management of hypertension, type 2 diabetes, and dyslipidemia. We proposed an innovative graphical interface to display medication recommendations as "therapeutic circles". A qualitative evaluation of the system and of this graphical layout has been performed on simulated patient cases by a sample of 12 users with various backgrounds (think aloud method). The resulting usability of the system is highly appreciated with a mean rating of 90.7% according to the standardized System Usability Scale.
临床决策支持系统(CDSSs)已被证明有可能提高医生决策与临床实践指南(CPGs)的一致性。然而,实际患者患有多种疾病,而通常以单一疾病为重点的CPGs提供的是针对特定疾病的建议,对于如何处理推荐治疗之间的不良相互作用没有提供支持。我们开发了GO-DSS,这是一种实施本体推理过程以进行CPG协调的CDSS。GO-DSS应用于高血压、2型糖尿病和血脂异常的同时管理。我们提出了一种创新的图形界面,将药物推荐显示为“治疗圈”。通过12名具有不同背景的用户样本(出声思考法),对模拟患者病例进行了系统和这种图形布局的定性评估。根据标准化的系统可用性量表,该系统最终的可用性得到了高度评价,平均评分为90.7%。