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Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU - Innovation report

Folkvord, Frans, Carlson, Jim Ingebretsen, Ottaviano, Manuel, Carvajal, Diego, Gonzalez, Liss Hernandez, van de Schoot, Rens, Turk, Eva, Piera-Jiménez, Jordi, Pontes, Caridad, Ramiro-Pareta, Marina, Carot-Sans, Gerard, Podovšovnik, Eva, Levašič, Vesna, Scheckenbach, Kathrin, Wagenmann, Martin, Szpisjak, Aron, Eliasen, Bogi, Wakim, Joe-Max, Ernst, Martin, Prinzellner, Yvonne, Bol, Nadine, He, Linwei, Krahmer, Emiel, Navarro, Clàudia, Juan, Laia, Guerri, Davide, Pinna, Laura, Genovese, Carmela, Benetti, Luciano, Macagnano, Chiara, Chiarugi, Franco, Peeters, Johannes, Pedullà, Ludovico, Brichetto, Giampaolo, Zaratin, Paola, Peschke, Seldag Gunes, Peschke, Lutz, Fico, Giuseppe·2024·Computational and Structural Biotechnology Journal

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Crossref · 10.1016/j.csbj.2024.10.026

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Graphical abstract
Graphical abstract CC BY-NC-ND · PubMed Central
Fig. 1 From conceptualisation to modelling.
Fig. 1 From conceptualisation to modelling.CC BY-NC-ND · PubMed Central
Fig. 2 The main components of the AI/ML model design, development and validation processes.
Fig. 2 The main components of the AI/ML model design, development and validation processes.CC BY-NC-ND · PubMed Central
Fig. 3 From modelling to testing and validation.
Fig. 3 From modelling to testing and validation.CC BY-NC-ND · PubMed Central
Fig. 4 From testing and validation to implementation.
Fig. 4 From testing and validation to implementation.CC BY-NC-ND · PubMed Central

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Research works printed but not linked: 14

  1. Tian S., Yang W., Le Grange J.M., Wang P., Huang W. and Ye Z.: Smart healthcare: making medical care more intelligent. Glob Health J 2019; 3: 62. · DOI
  2. Rivera S.C., Liu X., Hughes S.E., Dunster H., Manna E., Denniston A.K. et al: Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies. Lancet Digit Health 2023; 5: e168. · DOI
  3. Mjåset C., Ikram U., Nagra N.S. and Feeley T.W.: Value-based health care in four different health care systems. NEJM Catal Innov Care Deliv 2020; 1.
  4. Porter M.E. and Teisberg E.O.: Redefining Health Care: Creating Value-Based Competition on Results. Boston, MA: Harvard Business School Press 2006.
  5. 10.1007/s10754-022-09338-5 · DOI
  6. Cylus J. Figueras J. Normand C. Sagan A. Richardson E. North J. & White C. (Eds.). (2019). Will population ageing spell the end of the welfare state?: A review of evidence and policy options. European Observatory on Health Systems and Policies.
  7. Folkvord F., Würth A.R.U., van Houten K., Liefveld A.R., Carlson J.I., Bol N. et al: A systematic review on experimental studies about patient adherence to treatment. Pharmacol Res Perspect 2024; 12: e1166. · DOI
  8. Anastasiadou D., Folkvord F. and Lupiañez‐Villanueva F.: A systematic review of mHealth interventions for the support of eating disorders. Eur Eat Disord Rev 2018; 26: 394. · DOI
  9. Langabeer J.R., Champagne-Langabeer T., Alqusairi D., Kim J., Jackson A., Persse D. et al: Cost–benefit analysis of telehealth in pre-hospital care. J Telemed Telecare 2017; 23: 747. · DOI
  10. 10.1016/j.dsx.2021.04.007 · DOI · Paper page
  11. Viegi G., Maio S., Fasola S. and Baldacci S.: Global burden of chronic respiratory diseases. J Aerosol Med Pulm Drug Deliv 2020; 33: 171. · DOI
  12. Koff E. and Lyons N.: Implementing value‐based health care at scale: the NSW experience. Med J Aust 2020; 212: 104. · DOI
  13. Withers K., Palmer R., Lewis S. and Carolan-Rees G.: First steps in PROMs and PREMs collection in Wales as part of the prudent and value-based healthcare agenda. Qual Life Res 2021; 30: 3157. · DOI
  14. Zaratin P., Bertorello D., Guglielmino R. et al: The MULTI-ACT model: the path forward for participatory and anticipatory governance in health research and care. Health Res Policy Syst 2022; 20. · DOI

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Metadata

Authors
Folkvord, F., Carlson, J. I., Ottaviano, M., Carvajal, D., Gonzalez, L. H., van de Schoot, R., Turk, E., Piera-Jiménez, J., Pontes, C., Ramiro-Pareta, M., Carot-Sans, G., Podovšovnik, E., Levašič, V., Scheckenbach, K., Wagenmann, M., Szpisjak, A., Eliasen, B., Wakim, J.-M., Ernst, M., Prinzellner, Y., Bol, N., He, L., Krahmer, E., Navarro, C., Juan, L., Guerri, D., Pinna, L., Genovese, C., Benetti, L., Macagnano, C., Chiarugi, F., Peeters, J., Pedullà, L., Brichetto, G., Zaratin, P., Peschke, S. G., Peschke, L., & Fico, G.
Affiliations
  • Tilburg School of Humanities and Digital Sciences, Communication and Information Science, Tilburg University, the Netherlands
  • PredictBy, Barcelona, Spain
  • Life Supporting Technologies, Photonics Technology and Bioengineering Department, School of Telecommunication Engineering, Universidad Politécnica de Madrid, Madrid, Spain
  • Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands
  • Centre for digital health and social innovation, University of Applied Sciences St.Pölten, Austria
  • Catalan Health Service, Barcelona, Spain
  • Digitalization for the Sustainability of the Healthcare System (DS3), Barcelona, Spain
  • Ortopedska bolnišnica Valdoltra, Ankaran, Slovenia
  • Dept. of Otorhinolaryngology, Düsseldorf University Hospital, Düsseldorf, Germany
  • Copenhagen Institute for Futures Studies, Copenhagen, Denmark
  • Medtronic Ibérica, Madrid, Spain
  • Dedalus Italia S.p.A., Florence, Italy
  • MR Clinical Science, Philips Healthcare, Best, the Netherlands
  • Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
  • Faculty of Law, Ankara Yıldırım Beyazıt University, Ankara, Turkey
  • Department of Communication and Design, Bilkent University, Ankara, Turkey
Venue
Computational and Structural Biotechnology Journal
Published
2024-10-30
Volume
24
Pages
672-678
ISSN
2001-0370
Cited by
10
References
0
Language
en
Funders
  • IHI Corporation
  • European Commission (101132847)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.