A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2A Evaluation Report
Project report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2023). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2A 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 (looking at phase 2a) examines the process adopted in identifying clinics with the same specialisms so that patients can be offered greater appointment choice. It is recognized that some trusts have built digital hierarchies that show this but other trusts have not and it is for the latter category that this phase provides potential benefit. A report of the evaluation of phase 2A of DrDoctor AI Outpatient management system evaluating the process adopted for identifying linked clinics. Report covers approach to evaluation detailed findings, conclusions and recommendations. The report was not able to evaluate outcomes (and therefore overall accuracy) due to the delays in the DrDoctor system development. A key recommendation is that a clinical review of accuracy of the predicted linked clinics is undertaken. |
Keywords | DrDoctor, phase 2a , linked clinics, outpatient |
Year | 2023 |
Publisher | London South Bank University |
File | File Access Level Restricted |
Publication dates | |
30 Aug 2023 | |
Publication process dates | |
Deposited | 12 Mar 2024 |
https://openresearch.lsbu.ac.uk/item/9699y
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