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)

Abdulrahman Housawi, Amal Al Amoudi, Basim Alsaywid, Miltiadis Lytras, Yara H. bin Μoreba, Wesam Abuznadah and Sami A. Alhaidar
Additional contact information
Abdulrahman Housawi: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Amal Al Amoudi: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Basim Alsaywid: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Miltiadis Lytras: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Yara H. bin Μoreba: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Wesam Abuznadah: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Sami A. Alhaidar: Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia

Sustainability, 2020, vol. 12, issue 19, 1-37

Abstract: 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.

Keywords: key performance indicators (KPIs); attitudes; training programs; Saudi Commission for Health Specialties; framework; best practices; healthcare; medical training; residents; postgraduate medical training; learning analytics; artificial intelligence (AI) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/19/8030/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/19/8030/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:19:p:8030-:d:421158

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().