Predicting The Use of a Knowledge-Based System for Collaborative Surgical Team

Abstract

Advancement of new technologies and the accessibility of the Internet make it feasible to provide collaborative teams for medical purposes. This research studies how technology impacts the health care system to tackle the problem of forming an efficient team for medical purposes at hospitals in the Northern region of Malaysia. In this paper, we explore the Knowledge-based Collaborative Surgical Team (K-CST) system further, which automatically assigns an efficient collaborative surgical team. By utilizing the evolution of technologies and the Internet, this study aims to incorporate a knowledge-based approach with a genetic algorithm to form an efficient medical team. A survey was conducted among 30 health practitioners in the Northern region of Malaysia to predict the acceptance to use of the proposed K-CST system in comparison with the existing system. Collected data were analysed using Statistical Package for Social Science (SPSS) by using Pearson Correlation to describe the strength of the relationship between K-CST system and the existing system. Results for K- CST system was significant and have a positive relationship, while the results for the existing system were slightly insignificant and had a negative relationship. This study recommends that there should be some improvement in the system with the purpose of promoting a better healthcare system. The results from the analysis showed the hat K-CST system is accepted in the Northern region of Malaysia and has a good potential to be implemented in hospitals in the country.