How well can doctors and nurses really predict the outcomes of their ICU patients? In this episode, Scott Halpern from the University of Pennsylvania’s School of Medicine, discusses how he and his colleagues explored the accuracy of ICU physicians and nurses in predicting the health outcomes of their patients. Their work is details in the recent article “Discriminative Accuracy of Physician and Nurse Predictions for Survival and Functional Outcomes 6 Months After an ICU Admission,” published in the Journal of the American Medical Association in May 2017.
If you do not have access to the Journal of the American Medical Association, you can request a PDF copy through ResearchGate.
▲ On the National Heart, Lung and Blood Institute grant
▲ Consideration of including family predictions of mortality and morbidity
▲ On the difficulty of assessing cognitive capacity
▲ On the use of likelihood ratios
▲ On the use of area under the receiving operating characteristic curve (i.e., AUC or c-statistic)
▲ On the possible utility of informatics in prognostic judgement
▲ Discriminative accuracy vs. calibration: negotiation with JAMA
Unedited computer transcript of the episode.
Hosts / Producers
Doug Leigh & Ryan Watkins
How to Cite
Leigh, D., & Watkins, R.. (2017, August 9). Parsing Science – Accuracy of Health Outcome Predictions with Scott Halpern (Version 1). figshare. https://doi.org/10.6084/m9.figshare.5907412.v1
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