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    The healthcare industry is undergoing reforms with numerous initiatives being undertaken to control healthcare costs without compromising the quality of care. These initiatives include a shift to healthcare cost payments based on outcomes under the concept of value-based healthcare, the allocation of public healthcare budgets to medical districts, and stricter evaluation of the cost-effectiveness of drugs. Healthcare reform requires supplying optimal care in ways that consider the entire medical district by integrating and analyzing data from across the care cycle. Collected medical data can be used to identify subpopulations within which drugs have heightened efficacy and to assess the cost-effectiveness of drugs, and also to transform the value chains of pharmaceutical companies. This article describes the challenges in the healthcare sector that can benefit from data analytics as well as the digital solutions and collaborative creation with customers being promoted in different regions for solving these challenges.

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    ABOUT THE AUTHORS

    Toru Hisamitsu, Ph.D.

    Global Center for Social Innovation - Tokyo, Research & Development Group, Hitachi, Ltd. He is currently supervising customer co-creation projects at CSI Tokyo in the medical and pharmaceutical sectors. Dr.Hisamitsu is a member of the Information Processing Society of Japan (IPSJ), the Japanese Society for Artificial Intelligence (JSAI), and the Association for Natural Language Processing (ANLP).

    Michio Oikawa, Ph.D.

    Global Center for Social Innovation - Tokyo, Research & Development Group, Hitachi, Ltd. He is currently engaged in customer co-creation in the healthcare sector. Dr. Oikawa is a member of the IEEE.

    Kunihiko Kido, Ph.D.

    Global Center for Social Innovation - Tokyo, Research & Development Group, Hitachi, Ltd. He is currently engaged in customer co-creation in the healthcare sector. Dr. Kido is a member of the Association for Computing Machinery (ACM).

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