The use of imputation in clinical decision support systems: a cardiovascular risk management pilot vignette study among clinicians
Handling missing data in CDSS via JMI is useful, but more accurate imputations are needed to generate comfort in clinicians for use in routine care. Only then can CDSS create clinical value by improving decision-making.
Authors
- Thomas P. A. Debray (ORCID: https://orcid.org/0000-0002-1790-2719)
- Steven W J Nijman (ORCID: https://orcid.org/0000-0001-6798-2078)
- Saskia Haitjema (ORCID: https://orcid.org/0000-0001-5465-4868)
- Folkert W. Asselbergs (ORCID: https://orcid.org/0000-0002-1692-8669)
- Inés Beekers (ORCID: https://orcid.org/0000-0003-0905-5422)
- John J. L. Jacobs (ORCID: https://orcid.org/0000-0003-2249-5668)
- Inge Verkouter (ORCID: https://orcid.org/0000-0003-3374-7840)
- Karel G.M. Moons (ORCID: https://orcid.org/0000-0003-2118-004X)
- Michiel L. Bots (ORCID: https://orcid.org/0000-0003-2871-9810)
Institutions
- Utrecht University (NL)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University Medical Center Utrecht (NL)
- LifeTec Group (Netherlands) (NL)
- University College London (GB)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2024-08-10
- DOI
- https://doi.org/10.1093/ehjdh/ztae058
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Health~Holland
- ZonMw
- Universiteit Utrecht
- Universitair Medisch Centrum Utrecht