National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
Topics
- Children/Adolescents (1)
- Communication (1)
- Community-Based Practice (1)
- Critical Care (1)
- (-) Electronic Health Records (EHRs) (4)
- Emergency Department (1)
- Healthcare Delivery (2)
- (-) Health Information Technology (HIT) (4)
- Intensive Care Unit (ICU) (1)
- Primary Care (1)
- Rural Health (1)
- Simulation (1)
- Social Determinants of Health (1)
- (-) Teams (4)
- Telehealth (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedDurojaiye 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
Cohen DJ, Wyte-Lake T, Dorr DA
Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs.
The authors sought to identify the unmet information needs of clinical teams delivering care to patients with complex medical, social, and economic needs, and to propose principles for redesigning electronic health records (EHR) to address these needs. They concluded that developing EHR tools that are simple, accessible, easy to use, and able to be updated by a range of professionals is critical. They recommended that the identified information needs and design principles inform developers and implementers working in community health centers and other settings where complex patients receive care.
AHRQ-funded; HS023324.
Citation: Cohen DJ, Wyte-Lake T, Dorr DA .
Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs.
J Am Med Inform Assoc 2020 May;27(5):690-99. doi: 10.1093/jamia/ocaa010..
Keywords: Healthcare Delivery, Teams, Electronic Health Records (EHRs), Health Information Technology (HIT), Social Determinants of Health, Community-Based Practice, Primary Care
Bond WF, Barker LT, Cooley KL
A simple low-cost method to integrate telehealth interprofessional team members during in situ simulation.
This article describes the integration of remote telehealth electronic intensive care unit (eICU) personnel into in situ simulations with rural emergency department (ED) care teams and the technical challenges of creating shared awareness of the patient's condition and the care team's progress among the care team, the eICU, and those running the simulation. The purpose of the simulations was to introduce telehealth technology and new processes of engaging the eICU via telehealth during sepsis care in rural EDs; development of the scenarios included experts in sepsis, telehealth, and emergency medicine. A shared in situ simulation clinical actions observational checklist was created using an off-the-shelf survey software program. The checklist was completed during the simulations by an onsite observer, and shared with the eICU team via teleconferencing software to and cue eICU nurse engagement. Staff from the two EDs were engaged and an eICU nurse participated in debriefing via the telehealth video system.
AHRQ-funded; HS024027.
Citation: Bond WF, Barker LT, Cooley KL .
A simple low-cost method to integrate telehealth interprofessional team members during in situ simulation.
Simul Healthc 2019 Apr;14(2):129-36. doi: 10.1097/sih.0000000000000357..
Keywords: Critical Care, Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Rural Health, Simulation, Teams, Telehealth
Artis KA, Dyer E, Mohan V
Accuracy of laboratory data communication on ICU daily rounds using an electronic health record.
The researchers created a robust but simple methodology to measure the prevalence of inaccurately communicated (misrepresented) data and to characterize data communication failures by type. They found that clinician laboratory data retrieval and communication during ICU rounds at their institution was poor, prone to omissions and inaccuracies, yet largely unrecognized by the rounding team.
AHRQ-funded; HS023793.
Citation: Artis KA, Dyer E, Mohan V .
Accuracy of laboratory data communication on ICU daily rounds using an electronic health record.
Crit Care Med 2017 Feb;45(2):179-86. doi: 10.1097/ccm.0000000000002060.
.
.
Keywords: Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Teams