Abstract
Clinical diagnosis systems are increasingly supported by advanced information technology but enhancing human diagnosis performance with intelligent aiding has not been found guaranteed. Diagnosis is an intense cognitive task for which the supporting intelligent features should be designed and integrated to match human decision process. This study conducted cognitive work analysis to identify the user strategies and needs of information, and designed an effective interface based on a set of design principles for diagnosis aiding. The target system was a medical service that provided comprehensive blood test reviews and diagnosis to local hospitals. An interim evaluation by experts showed highly promising service value scores.
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Acknowledgement
This work was supported by the Industrial Strategic Technology Development Program, 10052955, Experiential Knowledge Platform Development Research for the Acquisition and Utilization of Field Expert Knowledge, funded by the Ministry of Trade, Industry & Energy (MI, Korea).
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Ko, DG., Park, Y., Kim, Y., Kim, J., Yoon, W.C. (2016). Cognitive-Task-Based Information Aid Design for Clinical Diagnosis. In: Kang, B.H., Bai, Q. (eds) AI 2016: Advances in Artificial Intelligence. AI 2016. Lecture Notes in Computer Science(), vol 9992. Springer, Cham. https://doi.org/10.1007/978-3-319-50127-7_28
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DOI: https://doi.org/10.1007/978-3-319-50127-7_28
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