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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedAtkinson MK, Benneyan JC, Bambury EA
Evaluating a patient safety learning laboratory to create an interdisciplinary ecosystem for health care innovation.
A patient safety learning laboratory (lab) can be a critical element of nurturing interdisciplinary team innovation across multiple projects and organizations. The purpose of this mixed-methods study was to evaluate a patient safety learning lab to examine the role and activities of a learning ecosystem that support interdisciplinary team innovation. The study found that successful learning ecosystems continuously facilitate alignment between interdisciplinary teams' activities, organizational context, and innovation project objectives. The researchers concluded that Interdisciplinary learning ecosystems have the capacity to facilitate health care improvement and innovation through alignment of team activities, project goals, and organizational contexts.
AHRQ-funded; HS024453.
Citation: Atkinson MK, Benneyan JC, Bambury EA .
Evaluating a patient safety learning laboratory to create an interdisciplinary ecosystem for health care innovation.
Health Care Manage Rev 2022 Jul-Sep;47(3):E50-E61. doi: 10.1097/hmr.0000000000000330..
Keywords: Patient Safety, Teams, Healthcare Delivery
Durojaiye A, Fackler J, McGeorge N
Examining diurnal differences in multidisciplinary care teams at a pediatric trauma center using electronic health record data: social network analysis.
The purpose of this study was to apply social network analysis to electronic health record (EHR) data to explore diurnal differences in the multidisciplinary teams caring for pediatric trauma patients. The researchers created an event log comprised of clinical activity metadata obtained from the EHR. The resulting event log was separated into 6 unique event logs, with content based on clinical activity shift (day shift or night shift) and location of the activities (divided by emergency department (ED), pediatric intensive care unit (PICU), and floor). For each event log, social networks were constructed and community overlap identified. The researchers utilized a comparison with qualitative care team data to compare and validate daytime and nighttime network structures for each care location. Validation was assessed via member-checking interviews with clinicians and qualitatively derived care team data, obtained through semi-structured interviews. The study found that of the 413 clinical encounters taking place within the 1-year study period, 65.9% began during the day shift and 34.1% began during the night shift. Multiple communities were identified in the ED and on the floor during the night shift, while a single community was identified in the ED and on the floor during the day shift, and in the PICU during the night shift. Qualitative data results indicated that the networks were accurate representations of the composition and interactions of the care teams. The researchers concluded that social network analysis was an effective method for utilization on EHR data at a pediatric trauma center to explore, identify, and describe diurnal differences in multidisciplinary care teams.
AHRQ-funded; HS023837.
Citation: Durojaiye A, Fackler J, McGeorge N .
Examining diurnal differences in multidisciplinary care teams at a pediatric trauma center using electronic health record data: social network analysis.
J Med Internet Res 2022 Feb 4;24(2):e30351. doi: 10.2196/30351..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Teams, Healthcare Delivery