New report preparation system for endoscopic procedures using speech recognition technology

Abstract

Background and study aims We developed a new reporting system based on structured data entry, which selectively extracts only endoscopic findings from endoscopists’ oral statements and automatically inputs them into appropriate columns in real time during endoscopic procedures.

Methods We compared the time for endoscopic procedures and report preparation (ER time) by using an esophagogastroduodenoscopy simulator in three groups: one preparing reports using a mouse after endoscopic procedures (CE group); a second group preparing reports by using voice alone during endoscopic procedures (SR group); and the final group preparing reports by operating the system with a foot switch and inputting findings using voice during endoscopic procedures (SR + FS group). For the SR and SR + FS groups, we identified the recognition rates of the speech recognition system.

Results Mean ER times for cases with three findings each were 162, 130 and 119 seconds in the CE, SR and SR + FS groups, respectively. The mean ER times for cases with six findings each were 220, 144 and 128 seconds, respectively. The times in the SR and SR + FS groups were significantly shorter than that in the CE group (P < 0.017). The recognition rate of the SR group for cases with three findings each was 98.4 %, and 97.6 % in the same group for cases with six findings each. The rates in the SR + FS group were 95.2 % and 98.4 %, respectively.

Conclusion Our reporting system was demonstrated to allow an endoscopist to efficiently complete the report in real time during endoscopic procedures.

• References

• 1 Manfredi MA, Chauhan SS, Enestvedt BK. et al. Endoscopic electronic medical record systems. Gastrointest Endosc 2016; 83: 29-36
• 2 Bretthauer M, Aabakken L, Dekker E. et al. Requirements and standards facilitating quality improvement for reporting systems in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy 2016; 48: 291-294
• 3 Maserat E, Safdari R, Maserat E. et al. Endoscopic electronic record: A new approach for improving management of colorectal cancer prevention. World J Gastrointest Oncol 2012; 4: 76-81
• 4 Gouveia-Oliveira A, Raposo VD, Salgado NC. et al. Longitudinal comparative study on the influence of computers on reporting of clinical data. Endoscopy 1991; 23: 334-337
• 5 Soekhoe JK, Groenen MJ, van Ginneken AM. et al. Computerized endoscopic reporting is no more time-consuming than reporting with conventional methods. Eur J Intern Med 2007; 18: 321-325
• 6 Aabakken L, Westerheim J, Hofstad B. et al. SADE database for endoscopic procedures: aspects of clinical use. Endoscopy 1991; 23: 269-271
• 7 ASGE Technology Committee; Conway JD, Adler DG, Diehl DL. et al. Endoscopic electronic medical record systems. Gastrointest Endosc 2008; 67: 590-594
• 8 Wassef W, Canto M, Birk J. Toward more user-friendly electronic endoscopy information systems: role of accessories. Gastrointest Endosc Clin N Am 2004; 14: 755-762
• 9 Massey BT, Geenen JE, Hogan WJ. Evaluation of a voice recognition system for generation of therapeutic ERCP reports. Gastrointest Endosc 1991; 37: 617-620
• 10 Johnson M, Lapkin S, Long V. et al. A systematic review of speech recognition technology in health care. BMC Med Inform Decis Mak 2014; 14: 94
• 11 Cohen J. A power primer. Psychol Bull 1992; 112: 155-159
• 12 Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplantation 2013; 48: 452-458
• 13 Hodgson T, Coiera E. Risks and benefits of speech recognition for clinical documentation: a systematic review. J Am Med Inform Assoc 2016; 23: e169-e179
• 14 Coiera E. Technology, cognition and error. BMJ Qual Saf 2015; 24: 417-422
• 15 Coiera E, Aarts J, Kulikowski C. The dangerous decade. JAMIA 2012; 19: 2-5