A prediction algorithm to improve the accuracy of the Gold Standard Framework Surprise Question end-of-life prognostic categories in an acute hospital admission cohort-controlled study. The Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA) (2023)
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Singh, B., Kumari-Dewat, N., Ryder, A., Klaire, V., Bennion, G., Jennens, H., …Parry, E. (2023). A prediction algorithm to improve the accuracy of the Gold Standard Framework Surprise Question end-of-life prognostic categories in an acute hospital admission cohort-controlled study. The Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA). [preprint]

Objective To determine the accuracy of a clinical data algorithm allocated end-of-life prognosis amongst hospital inpatients.

Method The model allocated a predicted Gold Standard Framework end-of-life prognosis to all acute medical patients admitt... Read More about A prediction algorithm to improve the accuracy of the Gold Standard Framework Surprise Question end-of-life prognostic categories in an acute hospital admission cohort-controlled study. The Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA).