The impact of learning curves on reducing covi-19 treatment duration and direct treatment costs field study: ibn al-khatib hospital
- Post by: Muthanna mjdes
- July 1, 2024
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Abstract
This research aims to demonstrate the impact of learning curves on reducing the treatment period of COVID-19 and lowering the direct costs of its treatment. Learning curves are one of the non-linear cost functions, as they represent a function that measures how the required labor hours to produce a unit of output are reduced with the accumulation of worker experience and performance improvement. Learning curves rely on the idea that repeatedly performing any task leads to gaining knowledge, reducing the time required to complete a unit of output as work continues. The research reached a set of conclusions, the most important of which are that learning curves can be used to reduce the cost of COVID-19 treatment and improve the production efficiency of healthcare workers in hospitals through experience and economies of scale. Experiments worldwide have shown that as the volume of healthcare services increases, the average cost decreases due to economies of scale and learning. In light of these conclusions, the research proposed a set of recommendations, the most important of which is allocating a budget for continuous training and education programs for healthcare workers, focusing on COVID-19 treatment techniques, developing interactive and specialized training programs that meet the needs of different levels and requirements by hiring experts in learning curves to design and implement training programs
Muthanna Journal of Administrative and Economic Sciences, 2024,Volume 14, Issue 2, Pages 35-46
DOI:10.52113/6/2024-14-2/35-46
