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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 4 of 4 Research Studies DisplayedMurphy 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)
Mehrabi S, Schmidt CM, Waters JA
An efficient pancreatic cyst identification methodology using natural language processing.
Accurate identification, surveillance and treatment of pancreatic cysts represents an opportunity to prevent pancreatic cancer. Much information about pancreatic cysts can be found in free text format in various narrative medical reports. To capture this information, the researchers modified their cyst identification technique using the Unstructured Information Management Architecture (UIMA) pipeline.
AHRQ-funded; HS019818.
Citation: Mehrabi S, Schmidt CM, Waters JA .
An efficient pancreatic cyst identification methodology using natural language processing.
Stud Health Technol Inform 2013;192:822-6..
Keywords: Cancer, Electronic Health Records (EHRs), Data, Health Information Technology (HIT), Prevention