Abstract

<p>Cost optimization approach of operational research is a predictive power and economy of compactness that is applied to solve specific clinical needs relevant to healthcare cost reduction. Technology helps the healthcare management, decision making, and policy that we have implemented in the interest of improving quality of patient care and treatment outcomes, thereby reducing costs and improving efficiency. The treatment cost of brain tumor is high. Sometimes, cost becomes a problem for individuals to get their complete treatment, which makes their health at risk and may lead to higher cost in future. Here we address neuroinformatics approach to optimize diagnosis cost in neurology through an operational research tool (optimization) on how the diagnosis cost of neuro-patient can optimize. In this context, we introduce a new and unique optimization approach in healthcare, yet what we are clearly lacking for applying applications of operational tools to translate this understanding to the different level to apply the concept in healthcare. The costs of treatment achieved by three standard initial basic feasible solutions (IBFS) methods (North-west corner method, Minimum cost method, Vogel’s approximation method) are 763, 763, and 779. The optimal solution is 761, and three random tests (RT’s) are 826, 783, and 788. Optimal solution provided an overall difference in treatment cost with IBFS 2, 2, 18 and with RT’s 65, 22, and 27. These results establish the basis for a deliberate integration of operational research tools and neuroscience into diagnosis of cost optimization mechanisms for neuro- patient.</p>

Highlights

  • Recent years have witnessed the intensifying corrosion of the treatment cost optimization predominance to the benefits of other approach in healthcare (e.g., In China, 390 people in a million are suffering from lung tuberculosis, which is the 10% of Globe TB rate)

  • We have proposed a methodology of optimality to optimize the cost of brain tumor treatment

  • In order to obtain the optimal solution, a stepping stone method was applied to evaluate the performance of our proposed approach

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Summary

Introduction

Recent years have witnessed the intensifying corrosion of the treatment cost optimization predominance to the benefits of other approach in healthcare (e.g., In China, 390 people in a million are suffering from lung tuberculosis, which is the 10% of Globe TB rate). Historical development, planning, optimization, and design making application of OR models in healthcare for public health are discussed in [5]. To maximize the utilization of devices and minimize the outpatient waiting time, real life optimized model have been introduced to improve the work efficiency [9]. The impact of technology and effective collaboration work achievements of patient care, mobile devices designed and implemented for effective healthcare team functionality to develop the healthcare systems [13]. When tumor grows in the CNS, it affects a person’s through processes, the way they talk, or movement This disease is a particular abnormal condition that negatively affects the structure of function of part or all of an organ, and that is not due to an external injury. The healthcare team members and doctors have special skills, knowledge and experience to support patients and their families

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