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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedJones 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)
Zhou Y, Abel GA, Hamilton W
Imaging activity possibly signalling missed diagnostic opportunities in bladder and kidney cancer: a longitudinal data-linkage study using primary care electronic health records.
Sub-optimal use or interpretation of imaging investigations prior to diagnosis of certain cancers may be associated with less timely diagnosis, but pre-diagnostic imaging activity for urological cancer is unknown. In this study, the investigators analysed linked data derived from primary and secondary care records and cancer registration to evaluate the use of clinically relevant imaging tests pre-diagnosis, in patients with bladder and kidney cancer diagnosed in 2012-15 in England.
AHRQ-funded; HS022087.
Citation: Zhou Y, Abel GA, Hamilton W .
Imaging activity possibly signalling missed diagnostic opportunities in bladder and kidney cancer: a longitudinal data-linkage study using primary care electronic health records.
Cancer Epidemiol 2020 Jun;66:101703. doi: 10.1016/j.canep.2020.101703..
Keywords: Cancer, Diagnostic Safety and Quality, Imaging, Primary Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
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
Murphy DR, Meyer A AND, Vaghani V
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
This study’s authors developed, refined, and tested trigger algorithms that identify patients with delayed follow-up evaluation of findings suspicious of colorectal cancer (CRC) or hepatocellular cancer (HCC). Using data from the Veterans Affairs electronic health record database, the researchers developed an algorithm that greatly reduces the number of record reviews necessary to identify delays in follow-up evaluations for patients with suspected CRC or HCC.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer A AND, Vaghani V .
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
Clin Gastroenterol Hepatol 2018 Jan;16(1):90-98. doi: 10.1016/j.cgh.2017.08.007..
Keywords: Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Services Research (HSR)
Murphy DR, Meyer A AND, Vaghani V
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
This study’s authors developed, refined, and tested trigger algorithms that identify patients with delayed follow-up evaluation of findings suspicious of colorectal cancer (CRC) or hepatocellular cancer (HCC). Using data from the Veterans Affairs electronic health record database, the researchers developed an algorithm that greatly reduces the number of record reviews necessary to identify delays in follow-up evaluations for patients with suspected CRC or HCC.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer A AND, Vaghani V .
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
Clin Gastroenterol Hepatol 2018 Jan;16(1):90-98. doi: 10.1016/j.cgh.2017.08.007..
Keywords: Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Services Research (HSR)
Murphy DR, Meyer AN, Vaghani V
Application of electronic algorithms to improve diagnostic evaluation for bladder cancer.
The researchers evaluated the performance of electronic trigger algorithms to detect delays in hematuria follow-up. They concluded that triggers offer a promising method to detect delays in care of patients with high-grade hematuria and warrant further evaluation in clinical practice as a means to reduce delays in bladder cancer diagnosis.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer AN, Vaghani V .
Application of electronic algorithms to improve diagnostic evaluation for bladder cancer.
Appl Clin Inform 2017 Mar 22;8(1):279-90. doi: 10.4338/aci-2016-10-ra-0176.
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Keywords: Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT)
Murphy DR, Meyer AN, Bhise V
Computerized triggers of big data to detect delays in follow-up of chest imaging results.
A "trigger" algorithm was used to identify delays in follow-up of abnormal chest imaging results in a large national clinical data warehouse of electronic health record (EHR) data. In this study, the authors applied a trigger in a repository hosting EHR data from all Department of Veterans Affairs health-care facilities and analyzed data from seven facilities. The investigators concluded that application of triggers on "big" EHR data may aid in identifying patients experiencing delays in diagnostic evaluation of chest imaging results suspicious for malignancy.
Citation: Murphy DR, Meyer AN, Bhise V .
Computerized triggers of big data to detect delays in follow-up of chest imaging results.
Chest 2016 Sep;150(3):613-20. doi: 10.1016/j.chest.2016.05.001..
Keywords: Imaging, Electronic Health Records (EHRs), Health Information Technology (HIT), Data, Diagnostic Safety and Quality, Cancer