Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 10

The DOI matches its Crossref record.

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
DOI 10.1016/j.csbj.2024.10.026PMC PMC11554584
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.csbj.2024.10.026

Cites

Statistics

Figures

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

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

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

Cited by

See all 10

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
Publisher
American Association for the Advancement of Science (AAAS)
Published
2024-10-30
Volume
24
Pages
672-678
ISSN
2001-0370
DOI
10.1016/j.csbj.2024.10.026
PMC
PMC11554584
Cited by
10
References
0
Language
en
Licence
Funders
  • IHI Corporation
  • European Commission (101132847)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU - Innovation report. https://app.cochat.ai/papers/10.1016/j.csbj.2024.10.026
The paper
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., . . . Fico, G. (2024). Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU - Innovation report. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2024.10.026

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.