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Journal Paper Accepted at Journal of Enterprise Transformation – Axiomatic Design Based Human Resources Management for the Enterprise Transformation of the Abu Dhabi Healthcare Labor Pool
The LIINES is happy to announce the publication of the paper entitled: “Axiomatic Design Based Human Resources Management for the Enterprise Transformation of the Abu Dhabi Healthcare Labor Pool” to the Journal of Enterprise Transformation. The paper is authored by Prof. Inas Khayal and Prof. Amro M. Farid. To our knowledge, it’s the first regional-scale multi-decade Big Data Healthcare Human Resources Management Study ever conducted and shows the spatial-distribution of retention and attrition rates of the Abu Dhabi Healthcare System in recent decades.
The quality and reliability of a nation’s healthcare system is often driven by the number and diversity of its healthcare professionals. Unfortunately, many developing nations have constrained segments of highly skilled labor and must “import” this human capital. Volatility in key healthcare professions can threaten reliable and sustainable healthcare delivery.
This article considers the development of a healthcare human resources sector in a quickly developing nation as an enterprise transformation problem. In this article, the axiomatic design large flexible system modeling framework is used to assess healthcare delivery capability in Abu Dhabi, UAE.
The Abu Dhabi case study shows significant volatility in the healthcare labor market.
Specifically the evolution of healthcare professional attrition has been on the rise for the last 20 years.
This has caused the net evolution of healthcare professionals to be quite variable.
The below figure shows the variation of profession types across the different areas with most of the fulfillment only in the cities (Abu Dhabi and Al Ain).
The work demonstrates that the axiomatic design theory as applied to large flexible systems can be applied to data-centric methods in human resources management in the context of skills shortages and high attrition rates.
About the Author:
Inas Khayal is an Assistant Professor of Health Policy and Clinical Practice at The Dartmouth Institute within the Geisel School of Medicine at Dartmouth. Her research interests focuses on on developing systems solutions that curb the growth of chronic disease by apply systems engineering tools and techniques to medicine.
LIINES Website: http://engineering.dartmouth.edu/liines