Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned.
An automated radiology recommendation-tracking engine for incidental focal masses in the liver, pancreas, kidneys, and adrenal glands was launched within our institution in July 2013. For 2 years, the majority of CT, MR, and US examination reports generated within our health system were mined by the engine. However, the need to expand the system beyond the initial four organs was soon identified. In July 2015, the second phase of the system was implemented and expanded to include additional anatomic structures in the abdomen and pelvis, as well as to provide non-radiology and non-imaging options for follow-up. The most frequent organs with incidental findings, outside of the original four, included the ovaries and the endometrium, which also correlated to the most frequently ordered imaging follow-up study of pelvic ultrasound and non-imaging follow-up study of endometrial biopsies, respectively. The second phase expansion has demonstrated new venues for augmenting and improving radiologist roles in optimal communication and management of incidental findings.
['Licurse|Mindy Y|MY|', 'Lalevic|Darco|D|', 'Zafar|Hanna M|HM|', 'Schnall|Mitchell D|MD|', 'Cook|Tessa S|TS|']
D000008:Abdominal Neoplasms D057225:Data Mining D005260:Female D005500:Follow-Up Studies D006801:Humans D033162:Incidental Findings D008279:Magnetic Resonance Imaging D010386:Pelvic Neoplasms D057386:Search Engine D014057:Tomography, X-Ray Computed D014463:Ultrasonography
Communication Cancer detection Data mining Imaging informatics