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 1 of 1 Research Studies DisplayedKlerman EB, Beckett SA, Landrigan CP
Applying mathematical models to predict resident physician performance and alertness on traditional and novel work schedules.
Using a mathematical model of the effects of circadian rhythms and length of time awake on objective performance and subjective alertness, the researchers compared predictions for traditional intern schedules to those that limit work to </= 16 consecutive hours. Their model predicted fewer hours with poor performance and alertness, especially during night-time work hours, for all three novel schedules than for either of the two traditional schedules.
AHRQ-funded; HS017357.
Citation: Klerman EB, Beckett SA, Landrigan CP .
Applying mathematical models to predict resident physician performance and alertness on traditional and novel work schedules.
BMC Med Educ 2016 Sep 13;16(1):239. doi: 10.1186/s12909-016-0751-9.
.
.
Keywords: Education: Continuing Medical Education, Patient Safety, Provider Performance, Workforce