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A supervised machine learning system for optimising outpatient clinic attendance

机译:用于优化门诊就诊率的有监督机器学习系统

摘要

#$%^&*AU2019201079A120190307.pdf#####A CLINIC ATTENDANCE SCHEDULER FOR OPTIMISING OUTPATIENT CLINIC ATTENDANCE ABSTRACT A clinic attendance scheduler (100), the scheduler (100) comprising: a trained machine module (104) configured for having as input patient specific data and clinic specific data for a plurality of clinics for calculating an attendance failure probability (117) according to the input patient specific data and clinic specific data; a machine learning module (103) configured to train the trained machine module (104), wherein the machine learning module (103) trains the trained machine module (104) using historical training data comprising patient specific training representing a plurality of patients, clinic specific training data representing a plurality of clinics, and attendance training data representing attendance by the plurality of patients of the respective historical clinics, the machine learning module (103) being configured to optimise accuracy of the calculating of the attendance failure probability by the trained machine module (104); and a clinic schedule module for scheduling clinics by generating a future clinic schedule comprising patient specific data and clinic specific data. The trained machine module (104) is configured to calculate an attendance failure probability (117) for the future clinic schedule; and the clinic schedule module is configured to overbook the future clinic schedule by a number of patients calculated in accordance with the attendance failure probability to generate an attendance probability optimised clinic schedule.
机译:#$%^&* AU2019201079A120190307.pdf #####优化门诊的门诊考勤计划诊所出勤抽象诊所出勤调度器(100),调度器(100)包括:受过训练的机器模块(104)被配置用于将多个以下对象的患者特定数据和诊所特定数据作为输入诊所,用于根据输入的患者计算出勤失败概率(117)具体数据和诊所具体数据;机器学习模块(103),用于训练训练有素的机器模块(104),其中机器学习模块(103)训练训练有素的机器模块使用包括患者特定训练的历史训练数据的机器模块(104)代表多个患者,代表临床的培训数据代表多个诊所,以及代表多个患者的出勤的出勤培训数据各自的历史诊所,机器学习模块(103)配置为优化训练有素的机器模块计算出勤失败概率的准确性(104);以及诊所时间表模块,用于通过生成未来的诊所时间表来安排诊所包括患者特定数据和诊所特定数据。训练有素的机器模块(104)是被配置为计算未来诊所时间表的出勤失败概率(117);和诊所时间表模块配置为将未来的诊所时间表超额预定根据出勤失败概率计算出的患者产生一个出勤率优化了临床时间表。

著录项

  • 公开/公告号AU2019201079A1

    专利类型

  • 公开/公告日2019-03-07

    原文格式PDF

  • 申请/专利权人 HRO HOLDINGS PTY LTD;

    申请/专利号AU20190201079

  • 发明设计人 LAWRIE JOCK;

    申请日2019-02-15

  • 分类号G06Q10/04;G06F15/18;

  • 国家 AU

  • 入库时间 2022-08-21 11:55:29

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