Adaptive Semantic Framework for CDSS to a new environment
Pages 75 - 77
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.
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Index Terms
- Adaptive Semantic Framework for CDSS to a new environment
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January 2024
152 pages
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Association for Computing Machinery
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Published: 13 May 2024
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ACSW 2024
ACSW 2024: 2024 Australasian Computer Science Week
January 29 - February 2, 2024
NSW, Sydney, Australia
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Overall Acceptance Rate 61 of 141 submissions, 43%
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