University of Oulu

Jari Ruokolainen, Satu Nätti, Milla Juutinen, Juha Puustinen, Anu Holm, Antti Vehkaoja, Hannu Nieminen, Digital healthcare platform ecosystem design: A case study of an ecosystem for Parkinson's disease patients, Technovation, Volume 120, 2023, 102551, ISSN 0166-4972,

Digital healthcare platform ecosystem design : a case study of an ecosystem for Parkinson’s disease patients

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Author: Ruokolainen, Jari1,2,3; Nätti, Satu4; Juutinen, Milla5;
Organizations: 1Satakunta Hospital District, Unit of Neurology, Sairaalantie 3, 28500, Pori, Finland
2Tampere University of Applied Sciences, Kuntokatu 3, 33520, Tampere, Finland
3Faculty of Management and Business, Tampere Universities, Korkeakoulukatu 10, 33720, Tampere, Finland
4University of Oulu Business School, Pentti Kaiteran katu 1, 90570, Oulu, Finland
5Faculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 10, 33720, Tampere, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.5 MB)
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Language: English
Published: Elsevier, 2022
Publish Date: 2023-01-04


This study investigates how a digital health care platform ecosystem and its essential core elements can be constructed considering specific characteristics of health care. A single case study of an ecosystem planned for patients with Parkinson’s disease was conducted following a constructive research approach.

The study reveals that the keystones for digital platform ecosystem design for health care purposes are as follows: 1) a focus on multi-sided mutual value propositions as a starting point for the design process; 2) understanding the technological core of the platform, including artefacts, interfaces and infrastructure; 3) understanding the actor layer, including actor resources, roles, positions and mutual interactions; and 4) understanding environmental influences in the form of data-related issues, prevailing institutions, practices and regulation. Several recommendations are offered to consider in designing the digital health care platform ecosystem. Managerially, this understanding could facilitate the development of new means of diagnostics, impactful and just-in-time care, functioning data collection and resource coordination in health care.

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Series: Technovation
ISSN: 0166-4972
ISSN-E: 1879-2383
ISSN-L: 0166-4972
Volume: 120
Article number: 102551
DOI: 10.1016/j.technovation.2022.102551
Type of Publication: A1 Journal article – refereed
Field of Science: 512 Business and management
Funding: This project was funded by Business Finland (Finnish Government Agency for Innovation).
Copyright information: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (