Pikkarainen Minna, Iivari Marika, Gomes Julius F, Kaartinen Jouni, Xu Yueqiang, Hong-Gu He, Gazerani Parisa
Department of Rehabilitation and Health Technology and Product Design, Oslo Metropolitan University, Oslo, Norway.
Martti Ahtisaari Institute, Oulu Business School, University of Oulu, Oulu, Finland.
Digit Health. 2024 Sep 12;10:20552076241271807. doi: 10.1177/20552076241271807. eCollection 2024 Jan-Dec.
Non-communicable diseases cause annual mortality for 41 million people worldwide. These diseases include coronary heart disease, cancer, stroke, diabetes, and musculoskeletal as well as mental disorders. Innovation ecosystems in healthcare are multifactor networks in which different stakeholders interact together to create socio-economic (patient and cost) value via research, co-creation, and traditional market activities. Although there is much evidence about the impact of digital health interventions and the capabilities needed to support individual actors and specific diseases in non-communicable disease prevention and management, the current understanding of the concept of innovation ecosystems associated with theories is not well understood. There is also a lack of research about innovation ecosystems in the healthcare context. Or understanding of the holistic perspective of the capabilities needed in innovation ecosystems to support future digital health. The objective of this study was to answer this research gap by identifying what capabilities are needed in future digital health ecosystems related to people with non-communicable diseases or at risk of non-communicable diseases. By doing this, the study will help different organisations and policies address this very challenging situation.
To answer this objective, a qualitative interview-based study including 34 semi-structured interviews was conducted in Finland. Complex adaptive systems theory was used as a theoretical lens to analyse empirical data.
Several new capabilities were identified for digital health innovation ecosystems to make organisation managers and policymakers aware of how to deal with future health system demands. From the organisational perspective, capabilities are needed to use non-medical and heterogeneous data to support better treatments and clinical decision-making and provide better and safer data access. From the management perspective, hospitals need capabilities to allow critical experts to participate in innovation work, and overall, all ecosystem actors need capabilities to orchestrate research and innovation actions in the area of digital health.
非传染性疾病每年在全球导致4100万人死亡。这些疾病包括冠心病、癌症、中风、糖尿病、肌肉骨骼疾病以及精神障碍。医疗保健领域的创新生态系统是多因素网络，其中不同利益相关者相互作用，通过研究、共同创造和传统市场活动创造社会经济（患者和成本）价值。尽管有大量证据表明数字健康干预措施的影响以及在非传染性疾病预防和管理中支持个体行为者和特定疾病所需的能力，但目前对与理论相关的创新生态系统概念的理解并不充分。在医疗保健背景下，关于创新生态系统的研究也很缺乏。或者说，对于创新生态系统中支持未来数字健康所需能力的整体视角缺乏理解。本研究的目的是通过确定未来与非传染性疾病患者或有非传染性疾病风险的人群相关的数字健康生态系统需要哪些能力来填补这一研究空白。通过这样做，该研究将帮助不同组织和政策应对这一极具挑战性的局面。
为实现这一目标，在芬兰进行了一项基于定性访谈的研究，包括34次半结构化访谈。复杂适应系统理论被用作分析实证数据的理论视角。
确定了数字健康创新生态系统的若干新能力，以使组织管理者和政策制定者了解如何应对未来卫生系统的需求。从组织角度来看，需要利用非医疗和异构数据的能力来支持更好的治疗和临床决策，并提供更好、更安全的数据访问。从管理角度来看，医院需要让关键专家参与创新工作的能力，总体而言，所有生态系统行为者都需要协调数字健康领域研究和创新行动的能力。
