Measuring electronic communication networks in virtual care teams using electronic health records access-log data
Abstract
Objective To develop methods for measuring electronic communication networks in virtual care teams using electronic health records (EHR) access-log data. Methods For a convenient sample of 100 surgical colorectal cancer patients, we used time-stamped EHR access-log data extracted from an academic medical center's EHR system to construct communication networks among healthcare professionals (HCPs) in each patient's virtual care team. We measured communication linkages between HCPs using the inverse of the average time between access events in which the source HCPs sent information to and the destination HCPs retrieved information from the EHR system. Social network analysis was used to examine and visualize communication network structures, identify principal care teams, and detect meaningful structural differences across networks. We conducted a non-parametric multivariate analysis of variance (MANOVA) to test the association between care teams' communication network structures and patients' cancer stage and site. Results The 100 communication networks showed substantial variations in size and structures. Principal care teams, the subset of HCPs who formed the core of the communication networks, had higher proportions of nurses, physicians, and pharmacists and a lower proportion of laboratory medical technologists than the overall networks. The distributions of conditional uniform graph quantiles suggested that our network-construction technique captured meaningful underlying…
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Studies using raw audit logs fit into three broad categories: manual mapping, identification of networks, application of automatic methods.
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From Electronic health record activity changes around new decision support implementation: monitoring using audit logs and topic modeling (2025) · cites this paper as [83]
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Sittig, D. F., & Singh, H. (2010) · Quality and Safety in Health Care · doi:10.1136/qshc.2010.042085 · Cited by 897 · see citing works
Types of Unintended Consequences Related to Computerized Provider Order Entry
Campbell, E. M., Sittig, D. F., Ash, J. S., Guappone, K. P., & Dykstra, R. H. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2042 · Cited by 823 · see citing works
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Chen, J., Cutrona, S. L., Dharod, A., Moses, A., Bridges, A., Ostasiewski, B., Foley, K. L., Houston, T. K., iDAPT (Implementation & Informatics Developing Adaptable Processes and Technologies for Cancer Control) Implementation Science Center for Cancer Control, Chen, J., et al. (2025) · JAMIA Open · doi:10.1093/jamiaopen/ooaf050 · Cited by 3 · see citing works
- Authors
- Zhu, X., Tu, S.-P., Sewell, D., Yao, N. (., Mishra, V., Dow, A., & Banas, C.
- Affiliations
- University of Iowa (US)
- University of California, Davis (US)
- University of Virginia (US)
- Virginia Commonwealth University (US)
- Corresponding author
- Zhu, Xi
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 128
- Pages
- 46-52
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2945153028
- Cited by
- 18
- References
- 2
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 1
- FWCI
- 1.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Academy of Medicine
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
- Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
- Keywords
- electronic communication networks, provider communication, network topology, tumor stage, tumor location, social network analysis
- MeSH terms
- Communication, Computer Communication Networks, Health Personnel, Humans, Patient Care Team, Primary Health Care, Telemedicine, Electronic Health Records
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