Sadanand Venkatraman
Department of Neurosurgery, Loma Linda University Health System, Loma Linda, California, USA, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, Karnataka, India.
Ann Indian Acad Neurol. 2014 Mar;17(Suppl 1):S120-3. doi: 10.4103/0972-2327.128685.
Surgical decision-making is a complex process. First, a medical decision is made to determine if surgery is necessary. Second, another medical decision is made to determine the type of surgery. Third, a corporate decision is made if such a surgery is financially feasible. Finally, a legal decision is made to proceed or refuse the chosen surgery. This paper examines these issues in the case of surgery for medically intractable epilepsy and proposes a method of decision analysis to guide epilepsy surgery.
A stochastic game of imperfect information using techniques of game theory and decision analysis is introduced as an analytical tool for surgical decision-making.
Surgery for appropriately chosen patients suffering from medically intractable epilepsy may not only be feasible, but may be the best medical option and the best financial option for the patient, families, society and the healthcare system. Such a situation would then make it legally or ethically difficult to reject or postpone surgery for these patients.
A process to collect data to quantify the parameters used in the decision analysis is hereby proposed.
手术决策是一个复杂的过程。首先,要做出医疗决策以确定是否有必要进行手术。其次,要做出另一项医疗决策以确定手术类型。第三,如果这样的手术在经济上可行,则要做出机构决策。最后,要做出法律决策以决定是否进行所选的手术。本文以药物难治性癫痫手术为例探讨这些问题,并提出一种决策分析方法以指导癫痫手术。
引入一种运用博弈论和决策分析技术的不完全信息随机博弈,作为手术决策的分析工具。
对于适当选择的药物难治性癫痫患者,手术不仅可能可行,而且可能是对患者、家庭、社会和医疗保健系统而言最佳的医疗选择和最佳的经济选择。在这种情况下,拒绝或推迟这些患者的手术在法律或伦理上会变得困难。
特此提出一个收集数据以量化决策分析中所用参数的过程。