Development of knowledge-based clinical decision support system for patients included in colorectal screening program.

Background & Aims: Colorectal (CRC) screening programs represent a large volume of procedures that need a follow-up endoscopy. A knowledge-based clinical decision support system (K-CDSS) is a technology which contains clinical rules and associations of compiled data that assist with clinical decision-making tasks. We develop a K-CDSS for management of patients included in CRC screening and surveillance of colorectal polyps.

Methods: We collected information on 48 variables from hospital colonoscopy records. Using DILEMMA Solutions Platform © (https://www.dilemasolution.com) we designed a prototype K-CDSS (PoliCare CDSS), to provide tailored recommendations by combining patients data and current guidelines recommendations. The accuracy of rules was verified using four scenarios (normal colonoscopy, lesions different than polyps, non-advanced adenomas and advanced adenomas). We studied the degree of agreement between the clinical assessments made by expert doctors and nurses equipped with PoliCare CDSS. Two experts confirmed a correlation between guidelines and PoliCare recommendations.

Results: 56 consecutive endoscopy cases from colorectal screening program were included (62.8 years; range 53-71). Colonoscopy results were: absence of colon lesions (n=7, 12.5%), lesions in the colon that are not polyps (n=3, 5.4%) and resected colonic polyps (n=46, 82.1%; 100% R0 resection). Patients with resected polyps presented non-advanced adenoma (n=21, 45.6%) or advanced lesions (n=25, 54.4%). There were no differences in erroneous orders with PoliCare CDSS (Kappa value 1.0).

Conclusions: PoliCare CDSS can easily be integrated into the workflow for improving the overall efficiency and better adherence to evidence-based guidelines.