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 2 of 2 Research Studies DisplayedTobin JN, Cassells A, Weiss E
Integrating cancer screening and mental health services in primary care: protocol and baseline results of a patient-centered outcomes intervention study.
AHRQ-funded; HS021667.
Citation: Tobin JN, Cassells A, Weiss E .
Integrating cancer screening and mental health services in primary care: protocol and baseline results of a patient-centered outcomes intervention study.
J Health Care Poor Underserved 2021;32(4):1907-34. doi: 10.1353/hpu.2021.0173..
Keywords: Patient-Centered Healthcare, Cancer, Behavioral Health, Primary Care, Depression, Women, Screening
Jones OT, Calanzani N, Saji S
Artificial intelligence techniques that may be applied to primary care data to facilitate earlier diagnosis of cancer: systematic review.
This study’s objective was a systematic review of artificial intelligence (AI) techniques that might facilitate earlier diagnosis of cancer and could be applied to primary care electronic health record (EHR) data. Findings showed that AI techniques have been applied to EHR-type data to facilitate early diagnosis of cancer, but their use in primary care settings is still at an early stage of maturity. Further evidence is needed on their performance using primary care data, implementation barriers, and cost-effectiveness before widespread adoption into routine primary care clinical practice can be recommended.
AHRQ-funded; HS027363.
Citation: Jones OT, Calanzani N, Saji S .
Artificial intelligence techniques that may be applied to primary care data to facilitate earlier diagnosis of cancer: systematic review.
J Med Internet Res 2021 Mar 3;23(3):e23483. doi: 10.2196/23483..
Keywords: Cancer, Diagnostic Safety and Quality, Primary Care, Electronic Health Records (EHRs), Health Information Technology (HIT)