AIMC Topic: Appointments and Schedules
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Prediction of hospital no-show appointments through artificial intelligence algorithms.
Annals of Saudi medicine
Dec 5, 2019
BACKGROUND: No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremend...
Predicting Outpatient Appointment Demand Using Machine Learning and Traditional Methods.
Journal of medical systems
Jul 19, 2019
Traditional methods have long been used for clinical demand forecasting. Machine learning methods represent the next evolution in forecasting, but model choice and optimization remain challenging for achieving optimal results. To determine the best m...
Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.
Journal of medical systems
Jan 17, 2019
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on ...
Artificial Intelligence in Radiology: Current Technology and Future Directions.
Seminars in musculoskeletal radiology
Nov 6, 2018
Artificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with...
Approximate dynamic programming approaches for appointment scheduling with patient preferences.
Artificial intelligence in medicine
Feb 23, 2018
During the appointment booking process in out-patient departments, the level of patient satisfaction can be affected by whether or not their preferences can be met, including the choice of physicians and preferred time slot. In addition, because the ...
Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysis.
International journal of medical informatics
Aug 4, 2017
INTRODUCTION: Starting in 2008, specific health checkups and health guidance to prevent non-communicable diseases have been provided in Japan, which has the highest proportion of elderly citizens in the world. The attendance rate for health guidance ...
Ubiquitous Multicriteria Clinic Recommendation System.
Journal of medical systems
Mar 17, 2016
Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferen...
Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations.
Evolutionary computation
Nov 24, 2014
Dispatching rules are frequently used for real-time, online scheduling in complex manufacturing systems. Design of such rules is usually done by experts in a time consuming trial-and-error process. Recently, evolutionary algorithms have been proposed...
Patterns in GP appointment systems: a cluster analysis of 3480 English practices.
The British journal of general practice : the journal of the Royal College of General Practitioners
Aug 1, 2025
BACKGROUND: In response to increasing demand for appointments, UK general practices have adopted a range of appointment systems. These systems vary widely in implementation. These changes have not yet been clearly described.
Agent-Based Healthcare Chatbots for Regional System Services: A Case Study in the Friuli-Venezia Giulia Region.
Studies in health technology and informatics
May 15, 2025
This paper presents an agent-based model for interacting with regional healthcare system services in the Friuli-Venezia Giulia (FVG) region. The model is designed to streamline and automate tasks traditionally managed through human intervention. We s...
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