Adaptive Semantic Framework for CDSS to a new environment

Gourav Gupta, Jan Stanek, Wolfgang Mayer, Georg Grossmann

Abstract: Clinical Decision Support Systems (CDSS) are pivotal in modern healthcare, aiding healthcare practitioners in making accurate decisions. Most of the existing CDSSs are static; due to this, adaptation to a new environment or changes in the same environment is difficult. There is a requirement for CDSS adaptation strategies that enable the system to adjust to a new environment or local changes in the same environment including associated factors such as different types of patients, different ecosystems, and varying guidelines. Additionally, two significant challenges of CDSS persist: its maintenance and the issue of portability across different hospitals with varying data ecosystems.In this paper, we propose an Adaptive Semantic Framework (ASF) for CDSS adaptation to a changing environment to overcome the above challenges. The framework includes various methods such as Knowledge-Based Systems (KBS) and Data-Driven Elements (DDE) to adjust the CDSS to new conditions.