Comprehensive Report: Knowledge Engineering Challenges in Healthcare

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Added on  2020/10/23

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AI Summary
This report delves into the multifaceted challenges of knowledge engineering within the healthcare sector. It begins by highlighting the significant impact of knowledge engineering, particularly in chronic disease management (CDM), and its role in bridging the gap between research and clinical practice. The methodology involves a qualitative research approach, utilizing secondary data from articles and journals published between 2009 and 2019, to identify and analyze key challenges. The report identifies critical issues such as Information and Communication Technology (ICT) gaps, coordination and standardization problems, and interpretation difficulties. The report emphasizes the need for improved training, standardization, and better understanding of domain knowledge to enhance the delivery and quality of healthcare services, particularly in the context of chronic disease management. The report concludes by underscoring the importance of strategic planning, collaboration, and the adoption of advanced technologies to overcome these obstacles and improve patient outcomes.
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