An Evaluation of Understandability of Patient Journey Models in Mental Health

作者: Jennifer Percival , Carolyn McGregor

DOI: 10.2196/HUMANFACTORS.5640

关键词:

摘要: Background: There is a significant trend toward implementing health information technology to reduce administrative costs and improve patient care. Unfortunately, little awareness exists of the challenges integrating systems with existing clinical practice. The systematic integration processes system can benefit patients, staff, delivery Objectives: This paper presents comparison degree understandability journey models. In particular, authors demonstrate value relatively new modeling technique called Patient Journey Modeling Architecture (PaJMa) when compared traditional manufacturing based process tools. also results from small pilot case study that usability 5 approaches in mental care environment. Method: Five business techniques were used represent selected journey. A mix both qualitative quantitative methods was evaluate these Techniques included focus group survey measure various Results: preliminary evaluation has shown increased staff understanding representation their activities presented Improved individual role identification throughout models observed. extended version PaJMa methodology provided most clarity flows for clinicians. Conclusions: improvement ease interpretation clinicians engagement process. use color its effectiveness distinguishing roles key feature framework not present other approaches. Future research should on extending more diversified support workers. [JMIR Hum Factors 2016;3(2):e20]

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