Resolving Asymmetry of Medical Information by using AI: Japanese People's Change Behavior by Technology-Driven Innovation for Japanese Health Insurance
{"title":"Resolving Asymmetry of Medical Information by using AI: Japanese People's Change Behavior by Technology-Driven Innovation for Japanese Health Insurance","authors":"K. Yamasaki, Ryuichi Hosoya","doi":"10.23919/PICMET.2018.8481824","DOIUrl":null,"url":null,"abstract":"The advancement of the artificial intelligence (AI) technologies in recent years has enabled new technology-driven innovation in many fields in our society. The medical sector is one of the application field of AI that with high expectation for salient outcomes by directly influencing people's life-and-death matters. On the other hand, ethical problems pertaining to AI-based massive utilization of human health and biological data have risen as a new issue. In this paper, we report on the current status of the Japan's medical policies and a case study of a project for building an AI-based medical knowledge creation and information retrieval system aiming at achievement of change in people's health-related behavior.","PeriodicalId":444748,"journal":{"name":"2018 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Portland International Conference on Management of Engineering and Technology (PICMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PICMET.2018.8481824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The advancement of the artificial intelligence (AI) technologies in recent years has enabled new technology-driven innovation in many fields in our society. The medical sector is one of the application field of AI that with high expectation for salient outcomes by directly influencing people's life-and-death matters. On the other hand, ethical problems pertaining to AI-based massive utilization of human health and biological data have risen as a new issue. In this paper, we report on the current status of the Japan's medical policies and a case study of a project for building an AI-based medical knowledge creation and information retrieval system aiming at achievement of change in people's health-related behavior.
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