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
AHRQ Research Studies Date
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 DisplayedFong A, Ratwani RM
Understanding emergency medicine physicians multitasking behaviors around interruptions.
Interruptions can adversely impact human performance, particularly in fast-paced and high-risk environments such as the emergency department (ED). In this paper, the investigators present a comprehensive framework for understanding interruptions that is composed of three phases, each with multiple levels: interruption start transition, interruption engagement, and interruption end transition. This three-phase framework is not constrained to discrete task transitions, providing a robust method to categorize multitasking behaviors around interruptions. They apply this framework in categorizing 457 interruption episodes.
AHRQ-funded; HS022362.
Citation: Fong A, Ratwani RM .
Understanding emergency medicine physicians multitasking behaviors around interruptions.
Acad Emerg Med 2018 Oct;25(10):1164-68. doi: 10.1111/acem.13496..
Keywords: Emergency Department, Workflow, Patient Safety, Provider: Physician, Provider
Fong A, Kim TC, Ratwani RM
Task2Heart: exploring heart rate differences with time-motion workflow observations of emergency medicine physicians.
This paper presents Task2Heart, a system developed to integrate near real-time heart rate with in-situ time motion observations. The authors describe and validate the system and discuss its use in the exploration of emergency physician heart rate in-situ.
AHRQ-funded; HS024801.
Citation: Fong A, Kim TC, Ratwani RM .
Task2Heart: exploring heart rate differences with time-motion workflow observations of emergency medicine physicians.
J Med Syst 2018 Aug 7;42(9):170. doi: 10.1007/s10916-018-1024-4..
Keywords: Cardiovascular Conditions, Emergency Department, Workflow, Emergency Medical Services (EMS)
Denton CA, Soni HC, Kannampallil TG
Emergency physicians' perceived influence of EHR use on clinical workflow and performance metrics.
In this article, the authors investigated the perceived effects of electronic health record (EHR) use on clinical workflow and meaningful use (MU) performance metrics. The investigators concluded that physicians' perception of EHRs was likely to influence their practices. They suggested that with negative perceptions of EHR usability problems, positive aspects of EHR use, including the influence on MU performance metrics, may be overridden.
AHRQ-funded; HS022670.
Citation: Denton CA, Soni HC, Kannampallil TG .
Emergency physicians' perceived influence of EHR use on clinical workflow and performance metrics.
Appl Clin Inform 2018 Jul;9(3):725-33. doi: 10.1055/s-0038-1668553..
Keywords: Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Workflow, Provider: Physician, Provider
Vankipuram A, Traub S, Patel VL
A method for the analysis and visualization of clinical workflow in dynamic environments.
The authors present a cohesive framework that combines a set of analytic techniques that can potentially complement traditional human observations to derive a deeper understanding of clinical workflow. Their framework is divided into three modules: (i) transformation, (ii) analysis, and (iii) visualization. They describe the methods used in each of these modules, and provide a series of visualizations developed using location-tracking data collected at the Mayo Clinic ED.
AHRQ-funded; HS022670.
Citation: Vankipuram A, Traub S, Patel VL .
A method for the analysis and visualization of clinical workflow in dynamic environments.
J Biomed Inform 2018 Mar;79:20-31. doi: 10.1016/j.jbi.2018.01.007.
.
.
Keywords: Emergency Department, Health Information Technology (HIT), Health Information Technology (HIT), Primary Care: Models of Care, Workflow