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How to evaluate digital healthcare applications in a large-scale pilot?

Grigoleit, Sonja, Lombard-Vance, Richard orcid logoORCID: 0000-0002-3307-9590, Goodfellow, Nicola, Fleming, Glenda, Scott, Michael, Rocha, Pedro, Gioulekas, Fotios, Santofimia Romero, María José, del Toro Garcia, Xavier, Zurkuhlen, Alexia and Schüttler, Anna (2023) How to evaluate digital healthcare applications in a large-scale pilot? In: Bourdena, Athena, Mavromoustakis, Constandinos, Markakis, Evangelos K., Mastorakis, George and Pallis, Evangelos, (eds.) Intelligent Technologies for Healthcare Business Applications. Signals and Communication Technology . Springer Cham. ISBN 978-3-031-58527-2

Abstract
European projects wishing to evaluate digital health & care solutions can choose from a number of published evaluation methods. Each method has its ad-vantages and disadvantages and all have been developed for a specific purpose. The EU Horizon 2020 project SHAPES (Smart and Healthy Ageing through Peo-ple Engaging in Supportive Systems) used and tested four different evaluation methods: The Non-adoption, abandonment, scale-up, spread and sustainability (NASSS) framework and the MOMENTUM framework as pre-evaluation meth-ods to check the 25 use cases of the SHAPES project, KPIs from a project man-agement perspective and the Model for Assessment of Telemedicine (MAST) to assess the broader impact of the SHAPES solutions. This chapter describes the four evaluation methods and presents the results of the evaluations. Following the pan-European pilot campaign, interviews were conducted with all pilot sites. Based on these interviews, recommendations are given on how these evaluation methods can be used in future projects.
Metadata
Item Type:Book Section
Refereed:No
Uncontrolled Keywords:AI and healthcare, smart and healthy ageing, digital health, evaluation, psychosocial
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Psychology
Publisher:Springer Cham
Official URL:https://link.springer.com/book/9783031585265
ID Code:30173
Deposited On:30 Sep 2025 10:16 by Richard Lombard Vance . Last Modified 30 Sep 2025 10:16
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