9:40 - 10:00
(17:40 - 18:00)
Dr. Manami Hori
Professor, Department of Health Management, Faculty of Health Studies, Tokai University
Visiting Researcher, Department of Public Health, University of Copenhagen
Abstract:
Japan is home to some of the world's leading manufacturers and suppliers of IT products and services. However, in terms of government and administrative DX (Digital Transformation), it lags behind Denmark. In recent years, the Government has been trying to promote “healthcare DX” as a means of bridging the gap between the increasing demands of an ageing population and the shortage of manpower. In her talk, Manami Hori will review recent policy trends and examines the challenges in advancing “Healthcare DX” in Japan.
10:00 - 10:15
(18:00 - 18:15)
Ms. Karen Ejersbo Iversen, Ph.D.
Cheif Advisor, National ICT Council Secretariat, Ministry of Finance, Denmark
Abstract:
Denmark has traditionally had a strong common framework for digitalization. In her talk, Karen Ejersbo Iversen will discuss how this influences the way the Danish public sector deals with new technical possibilities, including when the challenge is an aging society.
10:15- 10:30
(18:15 - 18:30)
Mr. Masaru Harada
Deputy Head of Mission, The Embassy of Japan in Denmark
Mr. Hiroo Yoshida
Second Secretary, The Embassy of Japan in Denmark
Abstract:
Japan's aging population has created a demand for innovative solutions to address the needs of its elderly citizens. What kind of technology is available in Japan’s elderly care and welfare sectors, and practical examples of care robots will be presented as concrete examples.
10:30 - 10:45
(18:30 - 18:45)
Ms. Iben Mundbjerg Gjødsbøl, Ph.D.
Assistant Professor, Section of Health Services, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen
Abstract:
In this presentation, Iben Mundbjerg Gjødsbøl will first outline the most significant digital infrastructures in the Danish healthcare system and the data accumulation and integration they enable. Then she will present a case study of the development and use of a predictive algorithm, PHMnet, recently put into service in cardiology departments in the Eastern part of Denmark. The algorithm can take into account up to 584 patient-specific features, predicting the one-year all-cause mortality risk—or the survival prognosis—of patients hospitalized with ischemic heart disease. Drawing upon ethnographic research in the development and clinical introduction of the PHMnet algorithm, Iben will identify three analytical themes meriting further scrutiny when AI is implemented in healthcare:
1) the re-negotiation of agency and autonomy in human-algorithm relations,
2) accountability in algorithmic prognostication,
3) the complex relationship between association and causation actualized by predictive algorithms.
10:45 - 11:00
(18:45 - 19:00)
Ms. MIka Yasouka, Ph.D.
Associate Professor, Department of People and Technology, Roskilde University
Abstract:
In the talk, Mika Yasouka will introduce how Health Tech could be successfully implemented in Society. Based on a few Danish examples, Mika will emphasise user perspectives with a few applied methods including user-centred design, participatory design and Me-to-We design approaches.
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