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Developing and validating high-value patient digital follow-up services

2022-05-21Artigo científico Acesso aberto
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dc.contributor.authorLondral, A
dc.contributor.authorAzevedo, Salomé
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, Luis Velez
dc.contributor.authorCoelho, P.
dc.contributor.authorFragata, José G.
dc.contributor.institutionComprehensive Health Research Centre (CHRC) - pólo NMS
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.pblBioMed Central (BMC)
dc.date.accessioned2022-06-23T22:24:34Z
dc.date.available2022-06-23T22:24:34Z
dc.date.issued2022-05-21
dc.descriptionFunding 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.
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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent1668051
dc.identifier.doi10.1186/s12913-022-08073-4
dc.identifier.issn1472-6963
dc.identifier.otherPURE: 44520510
dc.identifier.otherPURE UUID: 99fda38e-246a-4adc-9225-cb74eed347d8
dc.identifier.otherPubMed: 35597936
dc.identifier.otherPubMedCentral: PMC9123610
dc.identifier.otherScopus: 85130375105
dc.identifier.urihttp://hdl.handle.net/10362/140655
dc.language.isoeng
dc.peerreviewedyes
dc.subjectCardiac Surgical Procedures
dc.subjectDelivery of Health Care
dc.subjectFollow-Up Studies
dc.subjectHumans
dc.subjectLearning
dc.subjectPilot Projects
dc.titleDeveloping and validating high-value patient digital follow-up servicesen
dc.title.subtitlea pilot study in cardiac surgeryen
dc.typejournal article
degois.publication.issue1
degois.publication.titleBMC Health Services Research
degois.publication.volume22
dspace.entity.typePublication
rcaap.rightsopenAccess

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