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Developing and Validating High-Value Patient Digital Follow-Up Services: a Pilot Study in Cardiac Surgery

2022Journal article Open access
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dc.contributor.authorLondral, A
dc.contributor.authorAzevedo, S
dc.contributor.authorDias, P
dc.contributor.authorRamos, C
dc.contributor.authorSantos, J
dc.contributor.authorMartins, F
dc.contributor.authorSilva, R
dc.contributor.authorSemedo, H
dc.contributor.authorVital, C
dc.contributor.authorGualdino, A
dc.contributor.authorFalcão, J
dc.contributor.authorLapão, LV
dc.contributor.authorCoelho, P
dc.contributor.authorFragata, J
dc.date.accessioned2022-12-21T15:57:02Z
dc.date.available2022-12-21T15:57:02Z
dc.date.issued2022
dc.description.abstractBackground: 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBMC Health Serv Res . 2022 May 21;22(1):680.pt_PT
dc.identifier.doi10.1186/s12913-022-08073-4.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.17/4312
dc.language.isoengpt_PT
dc.publisherBMCpt_PT
dc.relationLisboa-05-3559-FSE-3/Fundação para a Ciência e a Tecnologiapt_PT
dc.relationDSAIPA/AI/0094/2020/Fundação para a Ciência e a Tecnologiapt_PT
dc.relationLisboa-05-3559-FSE-3/Fundação para a Ciência e a Tecnologiapt_PT
dc.relationLisboa-05-3559-FSE-3/Fundação para a Ciência e a Tecnologiapt_PT
dc.relationLisboa-05-3559-FSE-3/Fundação para a Ciência e a Tecnologiapt_PT
dc.subjectHSM CCTpt_PT
dc.subjectHumanspt_PT
dc.subjectCardiac Surgical Procedures*pt_PT
dc.subjectDelivery of Health Care*pt_PT
dc.subjectLearningpt_PT
dc.subjectFollow-Up Studiespt_PT
dc.subjectPilot Projectspt_PT
dc.titleDeveloping and Validating High-Value Patient Digital Follow-Up Services: a Pilot Study in Cardiac Surgerypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage680pt_PT
oaire.citation.titleBMC Health Services Researchpt_PT
oaire.citation.volume22pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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