Health‐care staff perspectives in optimising delirium prevention using data‐driven interventions
This study generated insights into key factors influencing delirium prevention, focusing on the development and implementation of optimisations such as automated delirium risk prediction. Improving hospital information technology infrastructure, supporting workforce digital literacy and ensuring accountability in all professional groups are crucial for implementing automated delirium risk prediction models in clinical practice. Future research should examine the feasibility and efficacy of optimised delirium prevention interventions in pragmatic clinical trials.
Authors
- Nikolajs Zeps (ORCID: https://orcid.org/0000-0002-6404-6839)
- Sandra Reeder (ORCID: https://orcid.org/0000-0001-7942-0179)
- Helena Jane Teede (ORCID: https://orcid.org/0000-0001-7609-577X)
- David Taylor (ORCID: https://orcid.org/0000-0002-6720-7482)
- Melinda Webb‐St Mart
- Joanne Enticott (ORCID: https://orcid.org/0000-0002-4480-5690)
- Swapna Gokhale (ORCID: https://orcid.org/0000-0002-0705-834X)
- Belinda Garth (ORCID: https://orcid.org/0000-0003-3937-4790)
Institutions
- Eastern Health (AU)
- Monash Health (AU)
- Monash University (AU)
Publication Details
- Journal
- Australasian Journal on Ageing
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1111/ajag.70011
- Citations
- 2
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.09
Funders
- Eastern Health
- Monash University