Advanced Optimization Techniques in Healthcare Delivery
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Added on 2020-05-28
Advanced Optimization Techniques in Healthcare Delivery
Added on 2020-05-28
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Running head: ADVANCED OPTIMIZATION TECHNIQUES 1Advanced Optimization Techniques in Healthcare Delivery(Name of Student)(Institutional Affiliation)(Date of Submission)
Advanced Optimization Techniques in Healthcare Delivery 2More Advanced Optimization Techniques in Healthcare Delivery and their ApplicationIn healthcare, many different optimization techniques and methods have been applied which have been ranging from the decisions of the operational levels to the design of the policiesof the national healthcare. These techniques in healthcare includes stochastic programming, approximate dynamic programming and discrete convex analysis. They have been applied to solve problems such healthcare facility location, capacity planning, disease screening, disease prediction, treatment delivery planning, medical human resource scheduling, organ allocation and transplantation, appointment scheduling, workforce scheduling, and even in designing of the vaccines. Optimization techniques have been considered to be superior to other systems in providing systematic, rich and flexible equipment for the drug practitioners to critically do the analysis and make informed decisions based on the complex problems under concern. The optimization problems in healthcare are known to have certain significant characteristics than those that arise from other industries (Pierskalla and Brailler, 1994). For instance we need to apply discrete convex analysis in disease screening in the decision making problem to increase the chances of patients’ life and thus prevents death. Consequently, the application of stochastic programming in the allocation of medical facilities will greatly influence the administrative policies and the rights of the patients. Therefore, decision makers in healthcare sector such as nurses, physicians and the administrators should participate in decision making problems using these optimization techniques. Problem 80 (Pharmaceutical Company)The total amount of NasaMist drug to be produced = 1000 pounds.The ingredients: Engine: Simplex LPSolution Time: 0.031 Seconds.Iterations: 0 Sub problems: 0Max Time Unlimited, Iterations Unlimited, Precision 0.000001, Use Automatic ScalingMax Sub problems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%, Assume NonnegativeNONE
Advanced Optimization Techniques in Healthcare Delivery 3CellNameOriginalValueFinal ValueInteger$B$2Chemical 1$0 $0 Contin$B$3Chemical 2$0 $0 Contin$B$4Chemical 3$0 $0 Contin$B$5Chemical 4$0 $0 ContinCellNameCell ValueFormulaStatusSlack$D$9Chemical 1 C0.01$D$9<=60Not Binding59.99$D$10Chemical 2 C0.01$D$10<=60Not Binding59.99$D$11Chemical 3 C0.04$D$11<=60Not Binding59.96$D$12Chemical 4 C0.04$D$12<=60Not Binding59.96$L$250$L$25<=43263Not Binding43263Problem 90 (Brain Tumor)Microsoft Excel 15.0 Answer ReportWorksheet: [1949908_990730870_P1490.xlsx]Data60Report Created: 1/14/2018 2:37:49 AM0Result: Solver found a solution. All Constraints and optimality conditions are satisfied.0Solver Engine0Engine: Simplex LP0Solution Time: 0.015 Seconds.0Iterations: 0 Sub problems: 0Solver OptionsMax Time Unlimited, Iterations Unlimited, Precision 0.000001Max Sub problems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%, Assume
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