AIMC Topic: Appointments and Schedules

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Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data.

Studies in health technology and informatics Aug 22, 2024
Patients who do not show up for scheduled appointments are a considerable cost and concern in healthcare. In this study, we predict patient no-shows for outpatient surgery at the endoscopy ward of a hospital in Denmark. The predictions are made by tr...
Humans Machine Learning Denmark Appointments and Schedules No-Show Patients
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Howard Rodenberg Comments.

American journal of public health Apr 1, 2020
Machine Learning Socioeconomic Factors Health Services Accessibility Appointments and Schedules Patient Acceptance of Health Care
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Machine Learning and Medical Appointment Scheduling: Creating and Perpetuating Inequalities in Access to Health Care.

American journal of public health Apr 1, 2020
Humans Machine Learning Socioeconomic Factors Health Services Accessibility Appointments and Schedules No-Show Patients Black or African American
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Can machine learning optimize the efficiency of the operating room in the era of COVID-19?

Canadian journal of surgery. Journal canadien de chirurgie Jan 1, 2020
The cancellation of large numbers of surgical procedures because of the coronavirus disease 2019 (COVID-19) pandemic has drastically extended wait lists and negatively affected patient care and experience. As many facilities resume clinical work owin...
Humans Machine Learning Pandemics COVID-19 Female Male Ontario Operative Time Elective Surgical Procedures Coronavirus Infections Appointments and Schedules Efficiency, Organizational Operating Rooms Pneumonia, Viral
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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
Humans Neural Networks, Computer Machine Learning Algorithms Hospitals Support Vector Machine Decision Trees Appointments and Schedules Pattern Recognition, Automated Hospital Information Systems Radiology, Interventional X-Rays
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