1. Engaging Patients, Empowering Doctors in Digitalization of Healthcare:Rich Data in Policy Decision-Making
- Author
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Iivari, Marika, Gomes, Julius, Pikkarainen, Minna, Häikiö, Juha, Ylén, Peter, Huizingh, Elko, Kokshina, Olga, Bitran, Iain, Conn, Steffen, Torkkeli, Marko, and Tynnhammar, Marcus
- Subjects
distant medical monitoring ,public sector ,healthcare ,intellectual algorithms ,decision-making ,data-driven decision-making ,patient health records (PHR) ,adherence to treatment ,data ,SDG 3 - Good Health and Well-being ,big data ,data-driven ,policy making ,medical data presentation ,mental health - Abstract
This study explores how heterogeneous types of data, e.g., personal data, big data, public data, statistical data, third sector data as well as social media, jointly referred to as 'rich data', are currently being utilised in healthcare policy making, and what kind of implications data has on future decision-making. Conducted as a qualitative case study with municipal decision-makers in Finland, this study examines the use of data in the context of preventive mental healthcare services, and highlights mental issues as a complex, systemic kind with far reaching long term impact, where the needs ands requirements for right kinds of data extend beyond healthcare domain. Making rich data available for policy decisions is only one preliminary step in the road to data-driven policy decisions. Data analysis and visualisation are essential elements in making data usable for decision-makers in order to improve the health and wellbeing of the society.
- Published
- 2017