| Autor: |
Patrick Li, Bob Chen, Evan Rhodes, Jason Slagle, Mhd Wael Alrifai, Daniel France, You Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
JMIR Medical Informatics, Vol 9, Iss 9, p e28998 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2291-9694 |
| DOI: |
10.2196/28998 |
| Popis: |
BackgroundCollaboration is vital within health care institutions, and it allows for the effective use of collective health care worker (HCW) expertise. Human-computer interactions involving electronic health records (EHRs) have become pervasive and act as an avenue for quantifying these collaborations using statistical and network analysis methods. ObjectiveWe aimed to measure HCW collaboration and its characteristics by analyzing concurrent EHR usage. MethodsBy extracting concurrent EHR usage events from audit log data, we defined concurrent sessions. For each HCW, we established a metric called concurrent intensity, which was the proportion of EHR activities in concurrent sessions over all EHR activities. Statistical models were used to test the differences in the concurrent intensity between HCWs. For each patient visit, starting from admission to discharge, we measured concurrent EHR usage across all HCWs, which we called temporal patterns. Again, we applied statistical models to test the differences in temporal patterns of the admission, discharge, and intermediate days of hospital stay between weekdays and weekends. Network analysis was leveraged to measure collaborative relationships among HCWs. We surveyed experts to determine if they could distinguish collaborative relationships between high and low likelihood categories derived from concurrent EHR usage. Clustering was used to aggregate concurrent activities to describe concurrent sessions. We gathered 4 months of EHR audit log data from a large academic medical center’s neonatal intensive care unit (NICU) to validate the effectiveness of our framework. ResultsThere was a significant difference (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
