A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report
Project report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2022). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report. London South Bank University.
Authors | Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. |
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Type | 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 |
Keywords | DrDoctor, accuracy, DNA, outpatient |
Year | 2022 |
Publisher | London South Bank University |
File | File Access Level Restricted |
Publication dates | |
Jul 2022 | |
Publication process dates | |
Deposited | 12 Mar 2024 |
https://openresearch.lsbu.ac.uk/item/9699x
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