EHRFlow: A Visual Analytics Approach to Studying Healthcare Professionals' Communication Effectiveness and Efficiency

Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment. Surrounding each patient's treatment, communication among HCPs can be examined as temporal networks, constructed from Electronic Health Record (EHR) access logs. This paper introduces EHRFlow, a...

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Vydáno v:IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (Online) s. 120 - 131
Hlavní autoři: Lu, Hsiao- Ying, Li, Yiran, Ma, Kwan-Liu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 19.06.2024
Témata:
Communication effectiveness
Data visualization
Dynamic Network Visualization
Electronic Health Records
Encoding
Healthcare
Medical treatment
Network Comparison
Network Measures
Reviews
Teamwork
Temporal Networks
Visual analytics
ISSN:2832-2975
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Shrnutí:Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment. Surrounding each patient's treatment, communication among HCPs can be examined as temporal networks, constructed from Electronic Health Record (EHR) access logs. This paper introduces EHRFlow, a visual analytics system designed to study the effectiveness and efficiency of temporal communication networks mediated by the EHR system. We present a method that associates network measures with patient survival outcomes and devises effectiveness metrics based on these associations. To analyze communication efficiency, we extract the latencies and frequencies of EHR accesses. EHRFlow is designed to assist in inspecting and understanding the composed communication effectiveness metrics and to enable the exploration of communication efficiency by encoding latencies and frequencies in an information flow diagram. We demonstrate and evaluate EHRFlow through multiple case studies and an expert review.
ISSN:2832-2975
DOI:10.1109/CHASE60773.2024.00021