TY - GEN
T1 - Challenges associated with introduction of real-time quality monitoring and feedback during colonoscopy within a secure, tightly regulated healthcare network
AU - De Groen, Piet C.
AU - Tavanapong, Wallapak
AU - Oh, Junghwan
AU - Wong, Johnny
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Colorectal cancer is a preventable disease if precursor lesions, polyps, are removed with colonoscopy. Yet, regular colonoscopy has not led to the expected decrease in mortality due to colorectal cancer; the likely reason for this is insufficiently high quality of colonoscopy. We have created novel software that performs real-time analysis of video streams for quality features during colonoscopy. The software also provides real-time feedback intended to drive the endoscopist towards high quality; in essence our software encourages continuous learning during colonoscopy on live patients. Introduction of this software at Mayo Clinic, an institution with a secure, tightly regulated network, required us to overcome an unexpected large number of challenges. Here we describe the challenges we encountered and the solutions we implemented. Of all challenges, security and network issues were most difficult to detect and resolve.
AB - Colorectal cancer is a preventable disease if precursor lesions, polyps, are removed with colonoscopy. Yet, regular colonoscopy has not led to the expected decrease in mortality due to colorectal cancer; the likely reason for this is insufficiently high quality of colonoscopy. We have created novel software that performs real-time analysis of video streams for quality features during colonoscopy. The software also provides real-time feedback intended to drive the endoscopist towards high quality; in essence our software encourages continuous learning during colonoscopy on live patients. Introduction of this software at Mayo Clinic, an institution with a secure, tightly regulated network, required us to overcome an unexpected large number of challenges. Here we describe the challenges we encountered and the solutions we implemented. Of all challenges, security and network issues were most difficult to detect and resolve.
KW - colonoscopy
KW - colorectal cancer
KW - education
KW - healthcare network
KW - real-time feedback
KW - video stream analysis
UR - http://www.scopus.com/inward/record.url?scp=84902352120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902352120&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-405-3-592
DO - 10.3233/978-1-61499-405-3-592
M3 - Conference contribution
AN - SCOPUS:84902352120
SN - 9781614994046
T3 - Frontiers in Artificial Intelligence and Applications
SP - 592
EP - 601
BT - Smart Digital Futures 2014
PB - IOS Press
ER -