A supervised machine learning system for optimising outpatient clinic attendance


Ontology type: sgo:Patent     


Patent Info

DATE

2018-04-12T00:00

AUTHORS

Lawrie, Jock

ABSTRACT

Abstract There is provided herein a supervised machine learning module for optimising outpatient clinic attendance accordingly that dynamically overbooks a clinic schedule according to the patient specific and clinic specific parameters to optimise outpatient clinic attendance. The system comprises a trained machine module. The trained machine module is configured for having as input patient specific data and clinic specific data and calculating an attendance failure probability accordingly. The system further comprises a machine learning module configured for training the trained machine module. The machine learning module trains the trained machine module using historical training data comprising patient specific training data representing a plurality of patients, clinic specific training data representing a plurality of clinics and attendance training data representing attendance by the plurality of patients for each of the historical clinics. Once the trained machine has been optimised in this way, in use, for a plurality of future clinics, the trained machine is configured for calculating an attendance probability (or probabilities) for the future clinics. Then, the future clinics are overbooked by a number of patients according to the calculated attendance failure probabilities to generate attendance probability optimised future clinics. More... »

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