TY - JOUR
T1 - Developing and validating high-value patient digital follow-up services
T2 - a pilot study in cardiac surgery
AU - Londral, A
AU - Azevedo, Salomé
AU - Dias, P.
AU - Ramos, C.
AU - Santos, J.
AU - Martins, F.
AU - Silva, R.
AU - Semedo, H.
AU - Vital, C.
AU - Gualdino, A.
AU - Falcão, J.
AU - Lapão, Luis Velez
AU - Coelho, P.
AU - Fragata, José G.
N1 - 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.
PY - 2022/5/21
Y1 - 2022/5/21
N2 - 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.
AB - 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.
KW - Cardiac Surgical Procedures
KW - Delivery of Health Care
KW - Follow-Up Studies
KW - Humans
KW - Learning
KW - Pilot Projects
U2 - 10.1186/s12913-022-08073-4
DO - 10.1186/s12913-022-08073-4
M3 - Article
C2 - 35597936
SN - 1472-6963
VL - 22
JO - BMC Health Services Research
JF - BMC Health Services Research
IS - 1
M1 - 680
ER -