A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report

Nicola Thomas; Daniel Frings; Chris Flood; Enrico Grisan; Kerry Wood; Nigel Daly; Swasti Sharma

A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report

Nicola Thomas, Daniel Frings, Chris Flood, Enrico Grisan, Kerry Wood, Nigel Daly, Swasti Sharma

Adult Nursing and Midwifery

Research output: Book/Report › Project Report

Abstract

DrDoctor is an artificial intelligence system that seeks to predict the probability of outpatient not attending their appointment (phase 1) predicting linked clinics (phase2a) and predicting out of sequence linked appointments (phase 2b). LSBU were commissioned by NHS England to evaluate the use of the DrDoctor system in two NHS trusts to see if it is accurate, safe, effective provides value and explore person centred aspects. This part of the evaluation examines the accuracy of the model in predicting those most likely not to attend outpatient appointments (phase 1). A report of the evaluation of phase 1 of DrDoctor AI Outpatient management system evaluating how accurate it was at predicting Do Not Attend (DNA) probability. Report covers approach to evaluation detailed findings, conclusions and recommendations

Original language	English
Publisher	London South Bank University
Publication status	Published - Jul 2022

Keywords

DrDoctor, accuracy, DNA, outpatient

Cite this

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AU - Sharma, Swasti

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ER -

A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report

Abstract

Keywords

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