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
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 3 of 3 Research Studies DisplayedLacson R, Laroya R, Wang A
Integrity of clinical information in computerized order requisitions for diagnostic imaging.
This study compared the integrity of electronic health record (EHR) imaging order requisitions with EHR provider notes and their potential impact on order inaccuracies and interpretation of results. This retrospective study was conducted at a tertiary academic medical center using MRI lumbar spine and CT abdomen/pelvis orders performed from April 1 to May 31, 2016. Results showed that requisition indications were more likely to be incomplete than provider notes. Researchers recommended that relevant documentation be more readily available in EHRs.
Citation: Lacson R, Laroya R, Wang A .
Integrity of clinical information in computerized order requisitions for diagnostic imaging.
J Am Med Inform Assoc 2018 Dec;25(12):1651-56. doi: 10.1093/jamia/ocy133..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging
Murphy DR, Meyer AND, Vaghani V
Electronic triggers to identify delays in follow-up of mammography: harnessing the power of big data in health care.
Because of the unique clinical, logistic, and legal aspects of mammography, this study was conducted to evaluate the effectiveness of a trigger to flag delayed follow-up on mammography. The investigators found that care delays appeared to continue despite federal laws requiring patient notification of mammographic results within 30 days. They suggest that clinical application of mammography-related triggers could help detect these delays.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer AND, Vaghani V .
Electronic triggers to identify delays in follow-up of mammography: harnessing the power of big data in health care.
J Am Coll Radiol 2018 Feb;15(2):287-95. doi: 10.1016/j.jacr.2017.10.001..
Keywords: Cancer: Breast Cancer, Cancer, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging, Diagnostic Safety and Quality, Prevention, Women
Huhdanpaa HT, Tan WK, Rundell SD
Using natural language processing of free-text radiology reports to identify type 1 modic endplate changes.
This study’s goal was to determine the feasibility of using natural language processing (NLP) to convert text from electronic medical records reports of magnetic resonance (MR) imaging results into variables to identify patients with Type 1 Modic endplate changes in the spine. Those patients with Type 1 Modic endplace changes may be eligible for clinical trials. Using a rule-based algorithm in Java they found the prevalence was 10%. The results showed that specificity was higher than recall due to the high number of keywords used in lumbar spine reporting.
AHRQ-funded; HS022972.
Citation: Huhdanpaa HT, Tan WK, Rundell SD .
Using natural language processing of free-text radiology reports to identify type 1 modic endplate changes.
J Digit Imaging 2018 Feb;31(1):84-90. doi: 10.1007/s10278-017-0013-3..
Keywords: Electronic Health Records (EHRs), Imaging, Health Information Technology (HIT)