Requirements for Manual Knowledge Acquisition Tools: Systematic Literature Review and Expert Panel Consensus.

Area of Science:

• * Decision Support Systems
• * Artificial Intelligence
• * Health Informatics

Background:

• * Knowledge acquisition (KA) tools are crucial for decision support content but lack formal requirement investigations.
• * Researchers often duplicate efforts when developing KA tools, highlighting a need for standardized requirements.
• * Existing literature provides limited guidance on the essential features and criteria for effective KA tools.

Purpose of the Study:

• * To establish a formal requirements list for manual knowledge acquisition tools.
• * To consolidate expert opinions and literature findings into a structured set of requirements.
• * To provide a foundational guide for the development of efficient and effective KA tools.

Main Methods:

• * A systematic literature review was conducted across Embase, MEDLINE, IEEE, and ACM databases.
• * Initial requirements were derived from literature review and expert team input.
• * An expert consensus process refined the initial requirements list, incorporating feedback.

Main Results:

• * The systematic review identified 3 relevant studies from 1628 initial records.
• * An initial list comprised 24 requirements and 15 sub-requirements.
• * Expert consensus led to the addition of 13 new requirements and 4 sub-requirements, resulting in a final list of 37 requirements and 21 sub-requirements across 4 categories.

Conclusions:

• * Significant gaps remain in understanding the specific requirements for KA tools.
• * The developed requirements list offers a preliminary yet valuable starting point for developers and researchers.
• * Formalizing requirements can reduce redundant development efforts and improve the quality of KA tools.