Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care
Prediction models for deteriorating inpatients may be more impactful if they are designed in accordance with the decision-making processes of acute care clinicians. Models should produce actionable outputs that assist with, rather than supplant, critical thinking.
Authors
- Steven McPhail (ORCID: https://orcid.org/0000-0002-1463-662X)
- Raelene Donovan (ORCID: https://orcid.org/0000-0003-0737-7719)
- Ian A Scott (ORCID: https://orcid.org/0000-0002-7596-0837)
- Robin D. Blythe (ORCID: https://orcid.org/0000-0002-3643-4332)
- Nicole White (ORCID: https://orcid.org/0000-0002-9292-0773)
- Sundresan Naicker (ORCID: https://orcid.org/0000-0002-2392-4981)
- Andrew Mckelliget
Institutions
- Queensland University of Technology (AU)
- The University of Queensland (AU)
- Princess Alexandra Hospital (AU)
- Metro South Health (AU)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1186/s12911-024-02647-4
- Citations
- 5
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.93
Funders
- National Health and Medical Research Council