Professor Emeritus Nagoya University, Japan
*Corresponding Author: Shuichiro Yamamoto, Professor Emeritus Nagoya University, Japan.
Received: July 24, 2020; Published: August 18, 2020
Background: The healthcare industry is faced to the digital transformation (DX) to realize the digital healthcare enterprises using digital technology for healthcare services. Japanese Ministry of Economy, Trade and Industry published the DX promotion index (DXPI) to assess the DX maturity of Japanese companies. Although the DXPI provides the requirements of DX, it lacks design approaches on business values, models and processes to digitalize healthcare services. We are trying to propose ArchiMate based diagrams on the business value, model and process to create healthcare services to meet the DXPI. ArchiMate is the EA modelling language to represent business, application and technology architecture.
Method: Three key business diagrams are extracted from DXPI. The business diagrams are business value, business model, and business process diagrams. We define the three corresponding tables for business diagrams. These table elements are shown to be mapped to ArchiMate model elements. By using the mapping, three business diagrams are able to develop in ArchiMate.
Results: The approach is applied to visualize a digital transformation in healthcare service in a large hospital. The visual diagrams have been described by the proposed approach using ArchiMate, an EA modeling language. The result showed the applicability of the method to visualize healthcare digital transformation.
Conclusion: The proposed approach is effective to visualize the digital transformation in the healthcare industry by clarifying business values, models and processes.
Keywords: Digital Transformation; Enterprise Architecture Model; ArchiMate; Healthcare; Case Study
Citation: Shuichiro Yamamoto. “An Approach to Visualize Digital Transformation in Healthcare".Acta Scientific Medical Sciences 4.9 (2020): 26-32.
Copyright: © 2020 Shuichiro Yamamoto. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.