Decision support system using system dynamics simulation for health human resources planning
Health Human Resources planning is important to ensure the health care system is able to anticipate and manage surpluses and shodages of medical staff. Predicting the health care needs of health personnel is significantly challenging for most countries as it is a complex studies. This study introduc...
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my.utm.633902017-05-28T02:59:07Z http://eprints.utm.my/id/eprint/63390/ Decision support system using system dynamics simulation for health human resources planning Abdul Majid, Hairudin A. Samah, Azurah Manual, Adilius Salleh, Nordin Desa, Muhammad Ishak Lau, Kee Wah R Medicine (General) Health Human Resources planning is important to ensure the health care system is able to anticipate and manage surpluses and shodages of medical staff. Predicting the health care needs of health personnel is significantly challenging for most countries as it is a complex studies. This study introduced the basic needs of framework to predict the supply and needs of health personnel by developing the decision support system based on system dynamic simulation approach The project analyses the supply and needs of health personnel from year 2015 to 2030 The needs was driven by the epidemiology, health level and the productivity. The developed decision support system using Vensim software is able to adapt changes and expandable simulation model. It can be used to monitor future changes in supplies and needs to provide a comprehensive and structured policy analysis for Ministry of Health Malaysia. 2015 Conference or Workshop Item PeerReviewed Abdul Majid, Hairudin and A. Samah, Azurah and Manual, Adilius and Salleh, Nordin and Desa, Muhammad Ishak and Lau, Kee Wah (2015) Decision support system using system dynamics simulation for health human resources planning. In: International Conference on Knowledge Transfer (ICKT'15), 1-3 Dec, 2015, Kuala Lumpur, Malaysia. https://10times.com/ickt |
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R Medicine (General) Abdul Majid, Hairudin A. Samah, Azurah Manual, Adilius Salleh, Nordin Desa, Muhammad Ishak Lau, Kee Wah Decision support system using system dynamics simulation for health human resources planning |
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Health Human Resources planning is important to ensure the health care system is able to anticipate and manage surpluses and shodages of medical staff. Predicting the health care needs of health personnel is significantly challenging for most countries as it is a complex studies. This study introduced the basic needs of framework to predict the supply and needs of health personnel by developing the decision support system based on system dynamic simulation approach The project analyses the supply and needs of health personnel from year 2015 to 2030 The needs was driven by the epidemiology, health level and the productivity. The developed decision support system using Vensim software is able to adapt changes and expandable simulation model. It can be used to monitor future changes in supplies and needs to provide a comprehensive and structured policy analysis for Ministry of Health Malaysia. |
format |
Conference or Workshop Item |
author |
Abdul Majid, Hairudin A. Samah, Azurah Manual, Adilius Salleh, Nordin Desa, Muhammad Ishak Lau, Kee Wah |
author_facet |
Abdul Majid, Hairudin A. Samah, Azurah Manual, Adilius Salleh, Nordin Desa, Muhammad Ishak Lau, Kee Wah |
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Abdul Majid, Hairudin |
title |
Decision support system using system dynamics simulation for health human resources planning |
title_short |
Decision support system using system dynamics simulation for health human resources planning |
title_full |
Decision support system using system dynamics simulation for health human resources planning |
title_fullStr |
Decision support system using system dynamics simulation for health human resources planning |
title_full_unstemmed |
Decision support system using system dynamics simulation for health human resources planning |
title_sort |
decision support system using system dynamics simulation for health human resources planning |
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2015 |
url |
http://eprints.utm.my/id/eprint/63390/ https://10times.com/ickt |
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1643655702788440064 |
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13.211869 |