| Autor: |
Londral, A, Azevedo, Salomé, Dias, P., Ramos, C., Santos, J., Martins, F., Silva, R., Semedo, H., Vital, C., Gualdino, A., Falcão, J., Lapão, Luis Velez, Coelho, P., Fragata, José G. |
| Přispěvatelé: |
Comprehensive Health Research Centre (CHRC) - pólo NMS, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Popis: |
Funding This work was supported by Fraunhofer AICOS and Vodafone Portugal and funded by the National Foundation of Science and Technology under the projects DSAIPA/AI/0094/2020 and Lisboa-05-3559-FSE-3. BACKGROUND: The existing digital healthcare solutions demand a service development approach that assesses needs, experience, and outcomes, to develop high-value digital healthcare services. The objective of this study was to develop a digital transformation of the patients' follow-up service after cardiac surgery, based on a remote patient monitoring service that would respond to the real context challenges. METHODS: The study followed the Design Science Research methodology framework and incorporated concepts from the Lean startup method to start designing a minimal viable product (MVP) from the available resources. The service was implemented in a pilot study with 29 patients in 4 iterative develop-test-learn cycles, with the engagement of developers, researchers, clinical teams, and patients. RESULTS: Patients reported outcomes daily for 30 days after surgery through Internet-of-Things (IoT) devices and a mobile app. The service's evaluation considered experience, feasibility, and effectiveness. It generated high satisfaction and high adherence among users, fewer readmissions, with an average of 7 ± 4.5 clinical actions per patient, primarily due to abnormal systolic blood pressure or wound-related issues. CONCLUSIONS: We propose a 6-step methodology to design and validate a high-value digital health care service based on collaborative learning, real-time development, iterative testing, and value assessment. publishersversion published |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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