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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)

Author

Listed:
  • 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
    College of Medicine, King Saud Bin-Abdul-Aziz University for Health Sciences, Jeddah 14611, Saudi Arabia
    Urology Section, Department of Surgery, King Abdulaziz Medical City, Ministry of National Guard, Jeddah 14815, Saudi Arabia)

  • Miltiadis Lytras

    (Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
    King Abdulaziz University, Jeddah 21589, 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)

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.

Suggested Citation

  • Abdulrahman Housawi & Amal Al Amoudi & Basim Alsaywid & Miltiadis Lytras & Yara H. bin Μoreba & Wesam Abuznadah & Sami A. Alhaidar, 2020. "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," Sustainability, MDPI, vol. 12(19), pages 1-37, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8030-:d:421158
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    References listed on IDEAS

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    1. Emmanouil Varouchas & Miguel-Ángel Sicilia & Salvador Sánchez-Alonso, 2018. "Academics’ Perceptions on Quality in Higher Education Shaping Key Performance Indicators," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    2. Masaru Yarime & Yuko Tanaka, 2012. "The Issues and Methodologies in Sustainability Assessment Tools for Higher Education Institutions," Journal of Education for Sustainable Development, , vol. 6(1), pages 63-77, March.
    3. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    4. Miltiadis D. Lytras & Vijay Raghavan & Ernesto Damiani, 2017. "Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 13(1), pages 1-10, January.
    5. Muhammad Asif & Muhammad Awan & Muhammad Khan & Niaz Ahmad, 2013. "A model for total quality management in higher education," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 1883-1904, June.
    6. Ali Kharrazi & Hua Qin & Yi Zhang, 2016. "Urban Big Data and Sustainable Development Goals: Challenges and Opportunities," Sustainability, MDPI, vol. 8(12), pages 1-6, December.
    7. Celina M. Olszak & Maria Mach-Król, 2018. "A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data," Sustainability, MDPI, vol. 10(10), pages 1-31, October.
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    Cited by:

    1. Basim Alsaywid & Abdulrahman Housawi & Miltiadis Lytras & Huda Halabi & Maha Abuzenada & Sami A. Alhaidar & Wesam Abuznadah, 2020. "Residents’ Training in COVID-19 Pandemic Times: An Integrated Survey of Educational Process, Institutional Support, Anxiety and Depression by the Saudi Commission for Health Specialties (SCFHS)," Sustainability, MDPI, vol. 12(24), pages 1-31, December.

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