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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 2 of 2 Research Studies DisplayedLacson R, Cochon L, Ching PR
Integrity of clinical information in radiology reports documenting pulmonary nodules.
Researchers sought to quantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports, and to assess impact on making follow-up recommendations. Their retrospective cohort study was performed at an academic medical center and natural language processing was used on radiology reports of CT scans of chest, abdomen, or spine to assess presence of pulmonary nodules. They found that essential pulmonary nodule characteristics were under-reported, potentially impacting recommendations for pulmonary nodule follow-up. They concluded that the lack of documentation of pulmonary nodule characteristics in radiology reports was common, with the potential for compromising patient care and clinical decision support tools.
AHRQ-funded; HS024722.
Citation: Lacson R, Cochon L, Ching PR .
Integrity of clinical information in radiology reports documenting pulmonary nodules.
J Am Med Inform Assoc 2021 Jan 15;28(1):80-85. doi: 10.1093/jamia/ocaa209..
Keywords: Imaging, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Murphy DR, Thomas EJ, Meyer AN
Development and validation of electronic health record-based triggers to detect delays in follow-up of abnormal lung imaging findings.
In this study, the researchers developed an electronic health record (EHR)-based trigger algorithm to identify delays in follow-up evaluation of patients with imaging findings suggestive of lung cancer. After validating the trigger with retrospective data, they concluded that EHR-based triggers can be used to identify patients with suspicious imaging findings in whom follow-up diagnostic evaluation was delayed.
AHRQ-funded; HS017820.
Citation: Murphy DR, Thomas EJ, Meyer AN .
Development and validation of electronic health record-based triggers to detect delays in follow-up of abnormal lung imaging findings.
Radiology 2015 Oct;277(1):81-7. doi: 10.1148/radiol.2015142530..
Keywords: Cancer: Lung Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging