Conducting Feasibility Studies for Knowledge Based Systems
John Kingston

TL;DR
This paper outlines a comprehensive approach to conducting feasibility studies for knowledge-based systems, emphasizing business, technical, and stakeholder considerations, illustrated through a case study on medical diagnosis support.
Contribution
It introduces a structured methodology for feasibility studies in KBS development, including practical factors and a real-world case example.
Findings
Identified key factors affecting KBS feasibility
Provided a detailed case study on medical diagnosis system
Highlighted importance of stakeholder analysis
Abstract
This paper describes how to carry out a feasibility study for a potential knowledge based system application. It discusses factors to be considered under three headings: the business case, the technical feasibility, and stakeholder issues. It concludes with a case study of a feasibility study for a KBS to guide surgeons in diagnosis and treatment of thyroid conditions.
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Taxonomy
TopicsElectronic Health Records Systems · AI-based Problem Solving and Planning
