IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i19p8030-d421158.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/19/8030/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/19/8030/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miltiades D. Lytras & Anna Visvizi, 2019. "Big Data and Their Social Impact: Preliminary Study," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    2. 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.
    3. Ian Sutherland & Youngseok Sim & Seul Ki Lee & Jaemun Byun & Kiattipoom Kiatkawsin, 2020. "Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    4. Yanfang Zhang & Mushang Lee, 2019. "A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    5. Jie Gao & Xinping Huang & Lili Zhang, 2019. "Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    6. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    7. Elli Doukanari & Despo Ktoridou & Leonidas Efthymiou & Epaminondas Epaminonda, 2021. "The Quest for Sustainable Teaching Praxis: Opportunities and Challenges of Multidisciplinary and Multicultural Teamwork," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    8. Yi-Chen Lai & Li-Hsun Peng, 2019. "Effective Teaching and Activities of Excellent Teachers for the Sustainable Development of Higher Design Education," Sustainability, MDPI, vol. 12(1), pages 1-27, December.
    9. Shivangi Dhawan, 2022. "Higher Education Quality and Student Satisfaction: Meta-Analysis, Subgroup Analysis and Meta-Regression," Metamorphosis: A Journal of Management Research, , vol. 21(1), pages 48-66, June.
    10. Anirban Chakraborty & Sumit Kumar & L. S. Shashidhara & Anjali Taneja, 2021. "Building Sustainable Societies through Purpose-Driven Universities: A Case Study from Ashoka University (India)," Sustainability, MDPI, vol. 13(13), pages 1-20, July.
    11. Anna Visvizi & Miltiadis D. Lytras, 2019. "Sustainable Smart Cities and Smart Villages Research: Rethinking Security, Safety, Well-being, and Happiness," Sustainability, MDPI, vol. 12(1), pages 1-4, December.
    12. Aurélien Décamps & Oihab Allal-Chérif & Anne Gombault, 2021. "Fostering Knowledge of the Sustainable Development Goals in Universities: The Case of Sulitest," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    13. David Tremblay & Sabine Gowsy & Olivier Riffon & Jean-François Boucher & Samuel Dubé & Claude Villeneuve, 2021. "A Systemic Approach for Sustainability Implementation Planning at the Local Level by SDG Target Prioritization: The Case of Quebec City," Sustainability, MDPI, vol. 13(5), pages 1-20, February.
    14. Miltiadis D. Lytras & Anna Visvizi & Akila Sarirete, 2019. "Clustering Smart City Services: Perceptions, Expectations, Responses," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    15. Milenkovska, Violeta & Novkovska, Blagica, 2018. "How To Establish Uniform Higher Education Quality Management System For Macedonia," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(2), pages 213-220.
    16. Abdulrahman Obaid AI-Youbi & Abdulmonem Al-Hayani & Hisham J. Bardesi & Mohammed Basheri & Miltiadis D. Lytras & Naif Radi Aljohani, 2020. "The King Abdulaziz University (KAU) Pandemic Framework: A Methodological Approach to Leverage Social Media for the Sustainable Management of Higher Education in Crisis," Sustainability, MDPI, vol. 12(11), pages 1-21, May.
    17. Yanru Lu & Kai Cao, 2019. "Spatial Analysis of Big Data Industrial Agglomeration and Development in China," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    18. Maged Adel Abdo Mukred & Zheng Jianguo, 2017. "Use of Big Data to Improve Environmental Sustainability in Developing Countries," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(11), pages 249-249, October.
    19. Sunmin Lee & Yunjung Hyun & Moung-Jin Lee, 2019. "Groundwater Potential Mapping Using Data Mining Models of Big Data Analysis in Goyang-si, South Korea," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    20. Miguel Ángel Queiruga-Dios & Emilia López-Iñesta & María Diez-Ojeda & María Consuelo Sáiz-Manzanares & José Benito Vázquez Dorrío, 2020. "Citizen Science for Scientific Literacy and the Attainment of Sustainable Development Goals in Formal Education," Sustainability, MDPI, vol. 12(10), pages 1-18, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8030-:d:421158. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.