New Findings on Machine Learning Described by Investigators at University of Tulsa (Decision Support System for Appointment Scheduling and Overbooking Under Patient No-show Behavior)

Robotics & Machine Learning Daily News2024，Issue(Feb.20) ：9-10.DOI:10.1007/s10479-023-05799-0

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Springer Nature

New Findings on Machine Learning Described by Investigators at University of Tulsa (Decision Support System for Appointment Scheduling and Overbooking Under Patient No-show Behavior)

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Abstract

2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Tulsa, Oklahoma, by NewsRx correspondents, research stated, “Data availability enables clinics to use predictive analytics to improve appointment scheduling and overbooking decisions based on the predicted likelihood of patients missing their appointment (no-shows). Analyzing data using machine learning can uncover hidden patterns and provide valuable business insights to devise new business models to better meet consumers’ needs and seek a competitive advantage in healthcare.”

Key words

Tulsa/Oklahoma/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Tulsa

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出版年

2024

Robotics & Machine Learning Daily News

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