Abstract
Objective: To determine the surveillance impact of utilizing a discrete field in structured radiology reports in patients with incidental pancreatic findings. Methods: We implemented a dictation template containing a discrete structured field element to auto-trigger listing of patients with incidental pancreatic findings on a pancreas clinic registry in the electronic health record. We isolated CT and MRI reports with incidental pancreatic findings over a 24-month period. We stratified patients by presence or absence of the discrete field element in reports (flagged versus unflagged) and evaluated the impact of report flagging on likelihood of clinic follow-up, follow-up imaging, endoscopic ultrasound, surgical intervention, genetics referral, obtaining pathologic diagnosis, and time interval between index imaging to various outcomes. Results: Patients with flagged reports were more likely to be seen or discussed in a pancreas clinic compared with those with unflagged reports (189 of 376, 50.3% versus 79 of 474, 16.7%; P <. 001). Patients with flagged reports were more likely to get follow-up imaging than patients with unflagged reports (188 of 376, 50.0% versus 121 of 474, 25.5%; P < .001) and were more likely to undergo appropriate management of actionable findings compared with patients in the unflagged group (23 of 62, 37.1% versus 28 of 129, 21.7%; P = .036). Discussion: Implementation of a structured discrete field element for reporting of patients with incidental pancreatic findings had positive impact on surveillance measures and can be applied in other organ systems with established surveillance guidelines to standardize patient care.
Original language | English (US) |
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Pages (from-to) | 1246-1257 |
Number of pages | 12 |
Journal | Journal of the American College of Radiology |
Volume | 18 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2021 |
Keywords
- Dictation template
- incidental finding
- pancreatic cyst
- structured report
- surveillance
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging