We provide a comprehensive overview of the typical decisions to be made in resource
capacity planning and control in health care, and a structured review of relevant articles from …

Objectives This review study was aimed to identify and document organizational,
professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) …

This paper reviews the general problem of surgical scheduling. We organize the literature
based on the time frame or planning horizon of the schedule into six categories: capacity …

Seeking to reduce the potential impact of delays on radiation therapy cancer patients such
as psychological distress, deterioration in quality of life and decreased cancer control and …

Background Over the past 30 years, the international conference on Artificial Intelligence in
MEdicine (AIME) has been organized at different venues across Europe every 2 years …

PURPOSE: The agent-oriented paradigm has emerged as a viable approach for the
development of autonomic systems in the healthcare domain. This paper reviews …

Over the past few years, artificial intelligence (AI) has made a significant advance in the
medical world, particularly due to developments in the field of machine learning (ML) and …

Healthcare informatics and analytics (HCI&A), also known as healthcare information
technology (HIT), healthcare IS (HIS), and so on, has rapidly evolved with the emerge of …

In outpatient healthcare clinics, capacity, patient flow, and scheduling are rarely managed in
an integrated fashion, so a question of interest is whether clinic performance can be …

Multi-disciplinary planning in health care is an emerging research field that applies to many
health care areas with similar underlying planning characteristics. We provide a review of …