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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| Veröffentlicht in: | IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (Online) S. 120 - 131 |
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| Sprache: | Englisch |
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19.06.2024
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| ISSN: | 2832-2975 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Lu, Hsiao- Ying Ma, Kwan-Liu Li, Yiran |
| Author_xml | – sequence: 1 givenname: Hsiao- Ying surname: Lu fullname: Lu, Hsiao- Ying email: hyllu@ucdavis.edu organization: University of California, Davis,Computer Science,Davis,USA – sequence: 2 givenname: Yiran surname: Li fullname: Li, Yiran email: ranli@ucdavis.edu organization: University of California, Davis,Computer Science,Davis,USA – sequence: 3 givenname: Kwan-Liu surname: Ma fullname: Ma, Kwan-Liu email: klma@ucdavis.edu organization: University of California, Davis,Computer Science,Davis,USA |
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| Snippet | Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment. Surrounding each patient's treatment, communication among... |
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| SubjectTerms | Communication effectiveness Data visualization Dynamic Network Visualization Electronic Health Records Encoding Healthcare Medical treatment Network Comparison Network Measures Reviews Teamwork Temporal Networks Visual analytics |
| Title | EHRFlow: A Visual Analytics Approach to Studying Healthcare Professionals' Communication Effectiveness and Efficiency |
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