Waydhas C, Kanz K G, Ruchholtz S, Nast-Kolb D
Chirurgische Klinik und Poliklinik, Klinikum Innenstadt, Ludwig-Maximilians-Universität München.
Unfallchirurg. 1997 Nov;100(11):913-21. doi: 10.1007/s001130050212.
A well-controlled, meticulous process has a far higher probability of resulting in a high quality of medical care than improvization and unstructured creativity. Algorithms display decision-making treatment processes and problem-solving strategies by giving clearly defined and formalized guidelines. The flow chart for decision-making follows the yes/no dichotomy of binary logic. The systematic ordering of decision points and consequent actions is guided by medical priority and thus regulates the time-frame and sequence of each single step in a logical manner. With the help of clinical algorithms highly complex processes such as the management of the severely injured patient can be translated into a clearly structured, logical pathway. Clinical algorithms represent scientifically recognized treatment rules, indicate a solution for solving problems and help users to organize ideas and recognize connections. They delineate a consistent and valid guideline, while allowing deviations in proven exceptions. The use of algorithms allows a systematic search for errors in the process of quality management. In emergency situations they suggest a structured means of problem solving for the less experienced user. Algorithms are useful instruments in the teaching of medical decision-making.
一个控制良好、细致入微的过程比临时发挥和无组织的创造性更有可能带来高质量的医疗护理。算法通过给出明确定义且形式化的指南来展示决策治疗过程和问题解决策略。决策流程图遵循二元逻辑的是/否二分法。决策点和相应行动的系统排序以医疗优先级为导向,从而以逻辑方式规范每个步骤的时间框架和顺序。借助临床算法,诸如重伤患者管理等高度复杂的过程可以转化为清晰结构化的逻辑路径。临床算法代表科学认可的治疗规则,指出解决问题的方法,并帮助用户组织思路和识别联系。它们勾勒出一个一致且有效的指南,同时允许在已证实的例外情况下有所偏差。算法的使用允许在质量管理过程中系统地查找错误。在紧急情况下,它们为经验不足的用户提供一种结构化的问题解决方法。算法是医学决策教学中的有用工具。