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About this sample
About this sample
Words: 517 |
Page: 1|
3 min read
Updated: 16 November, 2024
Words: 517|Page: 1|3 min read
Updated: 16 November, 2024
Effective decision making is imperative in all healthcare events. While this decision making is typically complex and unstructured, it requires the decision maker to gather multispectral information and data to make compelling decisions when faced with various alternatives. Unstructured decision making in unique and complex conditions is challenging, and in nearly every situation, the decision-making process is undoubtedly confronted with data inadequacy. Serious challenges are faced by the healthcare sector. Growing healthcare costs, market forces, and an aging population are putting increasing pressure on the quality of healthcare. To maintain or even enhance this quality, healthcare practices need to be optimized. The optimal choices yield an outcome that is most aligned with the decision makers' stated objectives when more than one alternative is available. Identifying an alternative with the highest achievable performance or which is the most cost-effective within given constraints is considered as "optimization" (Smith, 2020).
In comparison, maximization of anticipated outcomes means trying to achieve the maximum outcome without regard to cost or expense. The method of optimization is limited by the non-existence of complete information and the lack of time to evaluate what information is accessible. Optimization is crucial to exploit new technologies in a clever way. The choices in the healthcare setup are made at two levels: first, where single physicians must decide on the course of treatment for specific patients, and secondly, where policymakers must decide on the distribution of healthcare services available to society (Johnson, 2021). The availability of resources in healthcare is limited. It is not possible to produce and distribute everything people want. The resource allocation in healthcare or any other setup is based on what we produce, how much we produce, and who gets it. Resources are allocated to maximize profit concerning firms and to maximize satisfaction concerning consumers, subject to limited income and prices of goods consumed.
Choices are seldom made on an all-or-nothing basis; they are made at "the margin." Decision makers weigh the trade-offs: a little more of one thing and a little less of another. The decision maker must have the knowledge and skills required to make an optimal decision based on the allocation of available limited resources, taking into consideration the cost. For example, the decision to provide in-house diagnostic services or to outsource them requires the decision maker to have ample knowledge about the available resources, whether there is enough space for a diagnostic lab, the availability of human resources, and the required investments to be made on equipment. The optimal decision would be the one that yields maximum benefits in terms of outcome and cost with minimum use of the limited resources that can be accessed to meet the decision makers' stated objectives. He needs to make a choice among the two available alternatives, keeping in mind the opportunity cost linked with each choice. Consideration is given to the additional benefits and costs of a decision. Hence, a decision maker needs to have knowledge about optimization to make optimal decisions (Thompson, 2022).
Ultimately, effective decision making in healthcare not only impacts the immediate outcomes but also sets the foundation for long-term strategies and innovations that can transform patient care and resource management. As healthcare continues to evolve, the role of informed and strategic decision making becomes increasingly important, necessitating ongoing learning and adaptation among healthcare professionals.
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