Practical use of Artificial Intelligence for Clinical Staff Other than Physicians

Abstract

Trials to introduce artificial intelligence (AI) in clinical settings have been done for several decades, but the movement toward such introduction remains slow. In the past, AI systems were mainly to support physicians. They were ”rule-based” and specifically designed to assist in diagnosis or to recommend drugs to be prescribed to patients. Current clinical medicine is not performed by a physician acting alone, but through cooperation between staff with various occupations. Kimura Information Technology Co., Ltd. (KIT, Japan) has built a system named ”AI-Q” that works on the Japanese version of IBM's Watson and with which it is possible to build arbitrary problem solving systems. AI-Q was made to serve a variety of purposes, and a system for pharmacists has been built for drug information. In this paper, we illustrate how practical applications of AI can be designed for use by medical staff other than physicians and discuss how the system can be extended to other fields. We converted an AI system previously used to support pharmacists into one for certified clinical engineers (CCE). The purpose of this paper is to give the background of the system for CCE and to evaluate it.

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