1. Richardson L, Tai E, Rim SH, et al. Vital signs: Colorectal cancer screening, incidence, and mortality--United States, 2002-2010. MMWR Morb Mortal Wkly Rep. 2011;60(26):884-9.
2. Pohl H, Robertson DJ. Colorectal cancers detected after colonoscopy frequently result from missed lesions. Clin Gastroenterol Hepatol. 2010;8(10):858-64.
3. Kaminski MF, Regula J, Kraszewska E, et al. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010;362(19):1795-803.
4. Corley DA, Jensen CD, Marks AR, et al. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med. 2014;370(14):1298-306.
5. Keswani RN, Yadlapati R, Gleason KM, et al. Physician report cards and implementing standards of practice are both significantly associated with improved screening colonoscopy quality. Am J Gastroenterol. 2015;110(8):1134-9.
6. Kahi CJ, Vemulapalli KC, Johnson CS, et al. Improving measurement of the adenoma detection rate and adenoma per colonoscopy quality metric: the Indiana University experience. Gastrointest Endosc. 2014;79(3):448-54.
7. Rex DK, Schoenfeld PS, Cohen J, et al. Quality indicators for colonoscopy. Gastrointest Endosc. 2015;81(1):31-53.
8. Gawron AJ, Yao Y, Gupta S, et al. Simplifying Measurement of Adenoma Detection Rates for Colonoscopy. Dig Dis Sci. 2020.
9. Nayor J, Borges LF, Goryachev S, et al. Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates. Dig Dis Sci. 2018;63(7):1794-800.
10. Harkema H, Chapman WW, Saul M, et al. Developing a natural language processing application for measuring the quality of colonoscopy procedures. Journal of the American Medical Informatics Association. 2011;18(Supplement_1):i150-i6.
11. Mehrotra A, Dellon ES, Schoen RE, et al. Applying a natural language processing tool to electronic health records to assess performance on colonoscopy quality measures. Gastrointest Endosc. 2012;75(6):1233-9.e14.
12. Imler TD, Morea J, Kahi C, et al. Multi-Center Colonoscopy Quality Measurement Utilizing Natural Language Processing. Official journal of the American College of Gastroenterology | ACG. 2015;110(4):543-52.
13. Raju GS, Lum PJ, Slack RS, et al. Natural language processing as an alternative to manual reporting of colonoscopy quality metrics. Gastrointest Endosc. 2015;82(3):512-9.
14. Sohn DK, Shin IW, Yeon J, et al. Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy. Ann Surg Treat Res. 2019;97(6):319-25.
15. Carrell DS, Schoen RE, Leffler DA, et al. Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings. Journal of the American Medical Informatics Association. 2017;24(5):986-91.
16. Roth M. EPIC DOMINATES EMR MARKET SHARE WARS; CERNER LOSES GROUND [Website]. HealthLeaders; 2020 [updated April 30. Available from: https://www.healthleadersmedia.com/innovation/epic-dominates-emr-market-share-wars-cerner-loses-ground.
17. C. Flint A, Melles RB, Klingman JG, et al. Automated Extraction of Structured Data from Text Notes in the Electronic Medical Record. Journal of General Internal Medicine. 2020.
18. Kaltenbach T, Gawron A, Meyer CS, et al. Adenoma Detection Rate (ADR) Irrespective of Indication is Comparable to Screening ADR: Implications for Quality Monitoring. Clin Gastroenterol Hepatol. 2021.
19. Rex DK, Ponugoti PL. Calculating the adenoma detection rate in screening colonoscopies only: Is it necessary? Can it be gamed? Endoscopy. 2017;49(11):1069-74.
20. Bodagh N, Archbold RA, Weerackody R, et al. Feasibility of real-time capture of routine clinical data in the electronic health record: a hospital-based, observational service-evaluation study. BMJ Open. 2018;8(3):e019790.