| Autor: |
Bart Scheenstra, Anke Bruninx, Florian van Daalen, Nina Stahl, Elizabeth Latuapon, Maike Imkamp, Linne Ippel, Sulaike Duijsings-Mahangi, Djura Smits, David Townend, Inigo Bermejo, Andre Dekker, Laura Hochstenbach, Marieke Spreeuwenberg, Jos Maessen, Arnoud van 't Hof, Bas Kietselaer |
| Rok vydání: |
2022 |
| Předmět: |
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| Popis: |
UNSTRUCTURED Digital health is a promising tool to support people with an elevated risk for atherosclerotic cardiovascular disease (ASCVD) and patients with established disease to improve cardiovascular outcomes. Many digital health initiatives have been developed and employed. However, barriers for their large-scale implementation have remained. This article focuses on these barriers and presents solutions as proposed by the Dutch CARRIER consortium (Coronary ARtery disease: Risk estimations and Interventions for prevention and EaRly detection). We will focus in four chapters on: (i) the development process of an eHealth solution, which will include design thinking and co-creation with relevant stakeholders; (ii) the modeling approach for two clinical prediction models (CPMs) to identify people at risk to develop ASCVD and to inform on lifestyle interventions; (iii) description of a federated data infrastructure to train the CPM and to provide the eHealth solution with relevant data; and (iv) discussion of an ethical and legal framework for responsible data handling in healthcare. The Dutch CARRIER consortium consists of a collaboration between experts in the fields of eHealth development, ASCVD, public health, big-data, and ethics and law. The consortium focuses on the reduction of the burden of ASCVD. We believe the future of healthcare is data-driven and supported by digital health. Therefore, we hope that our research will not only facilitate CARRIER but may also facilitate other future healthcare initiatives. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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