Robotics & Machine Learning Daily News2024,Issue(Nov.20) :62-63.

New Artificial Intelligence Research from Faculty of Health Sciences Discussed ( A Solution to Reduce the Impact of Patients’ No-Show Behavior on Hospital Operat ing Costs: Artificial Intelligence-Based Appointment System)

讨论了卫生科学系新的人工智能研究(减少患者不到场行为对医院运营成本影响的解决方案:基于人工智能的预约系统)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :62-63.

New Artificial Intelligence Research from Faculty of Health Sciences Discussed ( A Solution to Reduce the Impact of Patients’ No-Show Behavior on Hospital Operat ing Costs: Artificial Intelligence-Based Appointment System)

讨论了卫生科学系新的人工智能研究(减少患者不到场行为对医院运营成本影响的解决方案:基于人工智能的预约系统)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑在健康科学系的新闻报道,研究表明,“病人没有显示”行为是导致医院资源优化和浪费的关键因素。患者不到诊导致的效率低下以及由此导致的OPE评级成本的增加对患者的工作产生了负面影响医院的财务结构和服务质量"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According tonews reporting out of the Faculty of Health Sciences by NewsRx editors, research stated, “Patient noshowbehavior i s a critical factor complicating hospital resource optimization and causing wast e. Theinefficiency caused by patients’ no-shows and the resulting increased ope rating costs negatively affect thehospitals’ financial structure and service qu ality.”

Key words

Faculty of Health Sciences/Artificial I ntelligence/Emerging Technologies/Hospitals/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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