2018/10/13 by Marzyeh Ghassemi, Ghassemi, Marzyeh, Mahima Pushkarna +7
Computer Science · Health Professions · Medicine · #Electronic Health Records Systems #FOS: Computer and information sciences #Healthcare Technology and Patient Monitoring #Human-Computer Interaction (cs.HC) #Machine Learning in Healthcare
paper · pdf · doi:10.48550/arxiv.1810.05798
openalex publication_date 2018/10/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Making decisions about what clinical tasks to prepare for is multi-factored, and especially challenging in intensive care environments where resources must be balanced with patient needs. Electronic health records (EHRs) are a rich data source, but are task-agnostic and can be difficult to use as summarizations of patient needs for a specific task, such as "could this patient need a ventilator tomorrow?" In this paper, we introduce ClinicalVis, an open-source EHR visualization-based prototype system for task-focused design evaluation of interactions between healthcare providers (HCPs) and EHRs. We situate ClinicalVis in a task-focused proof-of-concept design study targeting these interactions with real patient data. We conduct an empirical study of 14 HCPs, and discuss our findings on usability, accuracy, preference, and confidence in treatment decisions. We also present design implications that our findings suggest for future EHR interfaces, the presentation of clinical data for task-based planning, and evaluating task-focused HCP/EHR interactions in practice.