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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ISPIM 2017 |
| Editors | Elko Huizingh, Olga Kokshina, Iain Bitran, Steffen Conn, Marko Torkkeli, Marcus Tynnhammar |
| Publisher | International Society for Professional Innovation Management ISPIM |
| Pages | 40-44 |
| ISBN (Print) | 978-952-335-021-2 |
| Publication status | Published - 1 Jan 2017 |
| MoE publication type | A4 Article in a conference publication |
| Event | ISPIM Innovation Conference 2017: Composing the Innovation Symphony - Vienna, Austria Duration: 18 Jun 2017 → 21 Jun 2017 |
Conference
| Conference | ISPIM Innovation Conference 2017 |
|---|---|
| Abbreviated title | ISPIM |
| Country/Territory | Austria |
| City | Vienna |
| Period | 18/06/17 → 21/06/17 |
Keywords
- healthcare
- data
- big data
- decision-making
- policy making
- public sector
- data-driven
- data-driven decision-making
- mental health
- patient health records (PHR)
- medical data presentation
- adherence to treatment
- distant medical monitoring
- intellectual algorithms
