Evaluation of Key Performance Indicators (KPIs) for Sustainable Postgraduate Medical Training: An Opportunity for Implementing an Innovative Approach to Advance the Quality of Training Programs at the Saudi Commission for Health Specialties (SCFHS)

摘要

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.