Ash Joan S, Chase Dian, Wiesen Jane F, Murphy Elizabeth V, Marovich Stacey
Oregon Health & Science University, Portland, OR, USA.
AMIA Annu Symp Proc. 2017 Feb 10;2016:285-294. eCollection 2016.
To determine how the Rapid Assessment Process (RAP) can be adapted to evaluate the readiness of primary care clinics for acceptance and use of computerized clinical decision support (CDS) related to clinical management of working patients, we used a unique blend of ethnographic methods for gathering data. First, knowledge resources, which were prototypes of CDS content areas (diabetes, lower back pain, and asthma) containing evidence-based information, decision logic, scenarios and examples of use, were developed by subject matter experts. A team of RAP researchers then visited five clinic settings to identify barriers and facilitators to implementing CDS about the health of workers in general and the knowledge resources specifically. Methods included observations, semi-structured qualitative interviews and graphic elicitation interviews about the knowledge resources. We used both template and grounded hermeneutic approaches to data analysis. Preliminary results indicate that the methods succeeded in generating specific actionable recommendations for CDS design.
为了确定快速评估流程(RAP)如何能够加以调整,以评估基层医疗诊所接受和使用与在职患者临床管理相关的计算机化临床决策支持(CDS)的准备情况,我们采用了独特的人种学方法组合来收集数据。首先,知识资源由主题专家开发,这些资源是CDS内容领域(糖尿病、下背痛和哮喘)的原型,包含循证信息、决策逻辑、使用场景和示例。然后,一组RAP研究人员走访了五个诊所环境,以确定在实施有关一般工人健康特别是这些知识资源的CDS方面的障碍和促进因素。方法包括观察、半结构化定性访谈以及关于这些知识资源的图形启发式访谈。我们使用了模板和扎根诠释学方法进行数据分析。初步结果表明,这些方法成功地为CDS设计生成了具体的可操作建议。