The Effect of Artificial Intelligence Applications on Quick Decision-Making in Government Hospitals in Al Madinah Al Munawarah

Badr bin Abdul Rahman Al Matrafi

Keywords: artificial intelligence - government hospitals - decision-making - government hospitals.

The study aims to identify the effect of artificial intelligence applications on quick decision-making in government hospitals in Al Madinah Al Munawarah. The researcher used the descriptive approach with the analytical method in order to achieve the objectives of the study. The study population consists of doctors, nursing staff, and technical and administrative staff in government hospitals in Al Madinah Al Munawarah in Kingdom of Saudi Arabia, who number (6897) according to the statistics of the year 1445 AH. The sample size was (364) of doctors, nursing staff, and technical and administrative staff in government hospitals in Al Madinah Al Munawarah in Kingdom of Saudi Arabia. As for the research results, it is clear that the total score for the first dimension, “Application of Fuzzy Logic Systems”, came at an average of (2.26), with a percentage of (50.5%), which is a low percentage according to the study tool. As for the second dimension, “Implementing expert systems”, the average was (2.64), with a percentage of (52.7%). The third dimension, “Application of neural network systems”, had an average of (2.33) and a percentage of (46.6%), which is a low percentage according to the study tool. The fourth dimension, “The role of artificial intelligence on quick decision-making”, came with an average of (4.31), and a percentage of (86.2%), which is a very high percentage according to the study tool. As for the challenges dimension, the total score for the dimension “Challenges of applying artificial intelligence” was at an average of (3.51), with a percentage of (70.2%), which is a high percentage according to the study tool. The study recommended providing training and education, developing technological infrastructure, investing in cloud-based artificial intelligence solutions, and continuous evaluation and improvement.

[1]      Ajam, Ibrahim Mohammad Hassan (2018), Artificial Intelligence and its Implications for High-Performing Organizations: An exploratory study in the Ministry of Science and Technology, Journal of Management and Economics, Al Mustansiriya University - College of Management and Economics, vol. 41, no. 115, 88-102.

[2]     Al Anazi, Saad Hamoud Saad Al Shamlani (2020), The Effect of artificial Intelligence on the Performance of Organizations: A Case Study of the Primary Health Care Corporation in the State of Qatar, Master’s Thesis, Al Ahliyya Amman University - College of Business.

[3]     Al Sardiya, Heba Sobh Sadhan (2022), The degree to which school principals in Mafraq Governorate use artificial intelligence applications and their relationship to the quality of administrative decision-making, Master’s thesis, Al Bayt University, College of Educational Sciences - Jordan.

[4]     Al Shaer, Adly Dawoud Mohammad (2007). Obstacles to implementing strategic planning among government school principals in the Gaza governorates. Gaza. College of Education. Islamic University.

[5]     Alwan, Jaafar Ahmed Abdul Karim (2020), Artificial Intelligence and Crisis Management: A Case Study of the COVID-19 Pandemic Crisis, Public Administration, Institute of Public Administration, S60, Special Issue, 931-979.

[6]     Qureshi, Ahmed (2020), Numerical Linear Programming as a tool to aid decision-making: A case study of Tablat Hospital - Medea, Journal of the Institute of Economic Sciences, Volume 23, No. 2, University of Algiers 3 - Faculty of Economic Sciences, Commercial Sciences and Management Sciences, 869 - 889.

[7]     Saleh, Osama Saleh Abdel Azim (2022), Proposed procedures for developing the decision-making process in educational departments using expert systems as one of the applications of artificial intelligence, Journal of Research in Education and Psychology, Minya University - Faculty of Education, vol. 37, no. 2, 425-454.

 

-Foreign References

 

[1]      Yeh, C., & Santagata, R. (2015). Preservice teachers' learning to generate evidence-based hypotheses about the impact of mathematics teaching on learning. Journal of Teacher Education, 66(1), 1-14.

[2]     Eguchi, A. (2016). RoboCupJunior for promoting STEM education, 21st century skills, and technological advancement through robotics competition. Robotics and Autonomous Systems, 75, 692–699.

[3]     Florea, A. M., & Radu, S. (2019). Artificial intelligence and education. In 2019 22nd international conference on control systems and computer science (CSCS) (pp. 381–382). IEEE.

[4]     Peters, M. A. (2018). Deep learning, education and the final stage of automation. Taylor & Francis.

[5]     Pliakos, K., Joo, S.-H., Park, J. Y., Cornillie, F., Vens, C., & Van den Noortgate, W. (2019).  Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems. Computers & Education, 137, 91–103

[6]     Star_ci_c, A. I. (2019). Human learning and learning analytics in the age of artificial intelligence. British Journal of Educational Technology, 50(6), 2974–2976.

[7]     Tang, K. Y., Chang, C. Y., & Hwang, G. J. (2021). Trends in artificial intelligencesupported e-learning: A systematic review and co-citation network analysis (1998- 2019). Interactive Learning Environments. https://doi.org/10.1080/ 10494820.2021.1875001

[8]     Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence (Knopf).

[9]     UNESCO. (2019). Artificial Intelligence in education: Challenges and opportunities for sustainable development. France: The United Nations Educational, Scientific and Cultural Organization (UNESCO) https://en.unesco.org/news/challenges-andopportunities-artificiAl intelligence-education.

[10]  Ayre, C., & Scally, A. J. (2013). Critical values for Lawshe's content validity ratio: Revisiting the original methods of calculation. Measurement and Evaluation in Counseling and Development, 47(1), 79-86. doi:10.1177/0748175613513808

[11]   S. Russell and P. Norvig (2009) “Artificial Intelligence: A Modern Approach”, Prentice Hall, 3rd edition.

[12]   Laird, J.E., Newell, A., & P.S. Rosenbloom. (1987). Soar: An architecture for general intelligence. Artificial Intelligence, 33, 1-64.

[13]   European Commission (2018). Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe, Brussels, 25.4.2018 COM (2018) 237 final.