The Kingdom of Saudi Arabia is undergoing a major transformation in response to a revolutionary vision of 2030, given that healthcare reform is one of the top priorities. With the objective of improving healthcare and allied professional performance in the Kingdom to meet the international standards, the Saudi Commission for Health Specialties (SCFHS) has recently developed a strategic plan that focuses on expanding training programs’ capacity to align with the increasing demand for the country’s healthcare workforce, providing comprehensive quality assurance and control to ensure training programs uphold high quality standards, and providing advanced training programs benchmarked against international standards. In this research paper, we describe our attempt for developing a general framework for key performance indicators (KPIs) and the related metrics, with the aim of contributing to developing new strategies for better medical training compatible with the future. We present the results of a survey conducted in the Kingdom of Saudi Arabia (KSA), for the enhancement of quality of postgraduate medical training. The recent developments in the field of learning analytics present an opportunity for utilizing big data and artificial intelligence in the design and implementation of socio-technical systems with significant potential social impact. We summarize the key aspects of the Training Quality Assurance Initiative and suggest a new approach for designing a new data and services ecosystem for personalized health professionals training in the KSA. The study also contributes to the theoretical knowledge on the integration of sustainability and medical training and education by proposing a framework that can enhance future initiatives from various health organizations.

The latest developments in Sustainable Health focus on the provision of high quality medical training to health specialists, with a special focus on human factors. The need to promote effective Training Programs also reflects the job satisfaction needs of trainees. The objective of this study is to evaluate the trainees’ satisfaction with the quality of Training Programs and assess the degree of achievement based on the defined parameters to provide baseline data based on which strategies for improvement can be formulated. Our study was conducted in Saudi Arabia and our targeted population was residents in medical programs supervised by the Saudi Commission for the Health Specialties (SCFHS). The trainees’ response rate to the online survey was 27% (3696/13,688) and the key aspects of job satisfaction investigated include: Satisfaction with Academic Activities in the Center; Satisfaction with the Residents and Colleagues in the Center; Satisfaction with the Administrative Components in the Center; Satisfaction with the Training Programs; Satisfaction with the Specialty; Satisfaction with the Training Center; Satisfaction with the SCFHS. The main contribution of our work is a benchmark model for job satisfaction that can be used as a managerial tool for the enhancement of medical education with reference to the satisfaction of trainees. We analyze the key aspects and components of training satisfaction and we introduce our progressive model for Trainees’ Satisfaction in Medical Training. In future work, we intend to enhance the proposed framework with a set of key performance indicators as well as with a focused cause and effect focused survey on factors related to the key benchmark of this study.