An AHRQ-funded research team developed an algorithm that identified patients who received delayed notifications about abnormal mammograms. The research team used 2010–2015 electronic health record data from about 365,000 patients treated in a network of seven health care facilities. Of 2,129 patients with abnormal mammograms, 552 experienced delayed notifications. The researchers estimated their algorithm would identify 72 patients experiencing notification delays each year across the seven facilities. Access the abstract for the study, which was published in the Journal of The American College of Radiology.
J Am Coll Radiol. 2017 Nov 1. pii: S1546-1440(17)31272-3. doi: 10.1016/j.jacr.2017.10.001. [Epub ahead of print]
Electronic Triggers to Identify Delays in Follow-Up of Mammography: Harnessing the Power of Big Data in Health Care.
Published by Elsevier Inc.
Electronic health records; breast cancer; diagnostic delays; health IT; mammography; medical informatics; primary care; triggers