Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care

• Published in: BMC medical informatics and decision making Vol. 24; no. 1; pp. 241 - 13
• Main Authors: Blythe, Robin, Naicker, Sundresan, White, Nicole, Donovan, Raelene, Scott, Ian A, McKelliget, Andrew, McPhail, Steven M
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 02.09.2024; BioMed Central; BMC
• Subjects: Adult; Attitude of Health Personnel; Clinical decision support systems; Clinical Decision-Making; Clinical Deterioration; Clinical outcomes; Clinical prediction models; Clinical trials; Critical Care - standards; Decision making; Decision support systems; Design; Early Warning Score; Evaluation; Female; Hospitals; Humans; Information management; Interviews; Male; Medical personnel; Medical records; Medical research; Medicine, Experimental; Nurses; Palliative treatment; Patients; Performance prediction; Physicians; Prediction models; Australia; Clinical prediction models; Early warning score; Clinical decision support systems; Clinical decision-making; Clinical deterioration

Successful deployment of clinical prediction models for clinical deterioration relates not only to predictive performance but to integration into the decision making process. Models may demonstrate good discrimination and calibration, but fail to match the needs of practising acute care clinicians w...