Artificial Intelligence Predictive Analytics in the Management of Outpatient MRI Appointment No-Shows

Chong Le Roy; Tsai Koh Tzan; Lee Lee Lian; Foo Seck Guan; Chang Piek Chim

首页> 外文期刊>AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences >Artificial Intelligence Predictive Analytics in the Management of Outpatient MRI Appointment No-Shows

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Artificial Intelligence Predictive Analytics in the Management of Outpatient MRI Appointment No-Shows

机译：人工智能预测分析在门诊MRI预约管理中没有节目

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OBJECTIVE. Outpatient appointment no-shows are a common problem. Artificial intelligence predictive analytics can potentially facilitate targeted interventions to improve efficiency. We describe a quality improvement project that uses machine learning techniques to predict and reduce outpatient MRI appointment no-shows.

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来源
《AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences》 |2020年第5期|共8页
作者
Chong Le Roy; Tsai Koh Tzan; Lee Lee Lian; Foo Seck Guan; Chang Piek Chim;
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作者单位

Changi Gen Hosp Dept Radiol 2 Simei St 3 Singapore 529889 Singapore;

Changi Gen Hosp Dept Radiol 2 Simei St 3 Singapore 529889 Singapore;

Changi Gen Hosp Dept Radiol 2 Simei St 3 Singapore 529889 Singapore;

Changi Gen Hosp Dept Radiol 2 Simei St 3 Singapore 529889 Singapore;

Changi Gen Hosp Dept Radiol 2 Simei St 3 Singapore 529889 Singapore;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
artificial intelligence; machine learning; MRI; no-show; XGBoost;

机译：人工智能;机器学习;MRI;缺口;XGBoost;

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2. Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management [J] . MOHAGHEGH Shahab D. 石油勘探与开发:英文版 . 2020,第002期
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4. Prediction of hospital no-show appointments through artificial intelligence algorithms [J] . Sarab AlMuhaideb, Osama Alswailem, Nayef Alsubaie, Annals of Saudi medicine. . 2019,第6期

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5. Modeling Patient No-Show History and Predicting Future Outpatient Appointment Behavior in the Veterans Health Administration [J] . Goffman Rachel M., Harris Shannon L., May Jerrold H., Military Medicine: Official Journal of AMSUS, The Society of the Federal Health Agencies . 2017,第5a6期

机译：建模患者缺口历史，并预测退伍军人健康管理局的未来门诊行为
6. Revenue management for outpatient appointments: joint capacity control and overbooking with class-dependent no-shows [J] . Aaron Ratcliffe, Wendell Gilland, Ann Marucheck Flexible Services and Manufacturing Journal . 2012,第4期

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7. Data Analytics and Predictive Modeling for Appointments No-show at a Tertiary Care Hospital [C] . Amani Moharram, Saud Altamimi, Riyad Alshammari International Conference on Artificial Intelligence and Data Analytics . 2021

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8. Implementation of a Pilot Program Using Staff Appointment Reminder Calls to Reduce the Number of No-Shows at an Outpatient Mental Health Clinic [D] . Casselberry, Elizabeth Keys. 2020

机译：使用员工预约提醒呼吁将试点计划的实施减少门诊心理健康诊所的禁令数量
9. Prediction of hospital no-show appointments through artificial intelligence algorithms [O] . Sarab AlMuhaideb, Osama Alswailem, Nayef Alsubaie, 2019

机译：通过人工智能算法预测医院的缺席约会
10. Prediction of hospital no-show appointments through artificial intelligence algorithms [O] . Sarab AlMuhaideb, Osama Alswailem, Nayef Alsubaie, 2019

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11. Analysis of the Relationship Between Predictors of No-Show Appointment Behavior and the Benefit of Automated Patient Reminders [R] . O'Haver, T. G. 2002

机译：未显示预约行为的预测因子与自动患者提醒效益的关系分析

Artificial Intelligence Predictive Analytics in the Management of Outpatient MRI Appointment No-Shows

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