一种新的医学编码系统复杂性的熵测度
Entropic Measures of Complexity in a New Medical Coding System
摘要：
背景资料：从旧的医疗编码系统过渡到新的医疗编码系统可能具有挑战性，特别是当两种编码系统明显不同时。美国在2015年经历了这样的转变。目的：本研究的目的是引入熵的措施，以帮助用户准备迁移到一个新的医疗编码系统，确定和重点准备举措的临床概念，更有可能的过渡挑战。方法：引入两种熵测度编码复杂度。第一个衡量标准是新代码字母变化的函数。第二个度量是基于旧代码的有效表示的可能数量。结果：使用ICD-9-CM和ICD-10-CM/PCS之间的2015映射演示了如何实施所提出的技术。由此产生的熵的措施的意义进行了讨论的背景下，可能会带来的挑战，有关文件，编码错误，纵向数据比较的临床概念。结论：所提出的熵技术适合于评估任何两个医疗编码系统之间的映射或人行横道存在的复杂性。熵越大，转型挑战的可能性就越大。用户可以利用建议的技术作为指导，优先考虑培训工作，以改善文档，并增加准确编码，代码有效性和纵向数据比较的机会。
英文摘要：
Background: Transitioning from an old medical coding system to a new one can be challenging, especially when the two coding systems are significantly different. The US experienced such a transition in 2015. Objective: This research aims to introduce entropic measures to help users prepare for the migration to a new medical coding system by identifying and focusing preparation initiatives on clinical concepts with more likelihood of transition challenges. Methods: Two entropic measures of coding complexity are introduced. The first measure is a function of the variation in the alphabets of new codes. The second measure is based on the possible number of valid representations of an old code. Results: A demonstration of how to implement the proposed techniques is carried out using the 2015 mappings between ICD-9-CM and ICD-10-CM/PCS. The significance of the resulting entropic measures is discussed in the context of clinical concepts that were likely to pose challenges regarding documentation, coding errors, and longitudinal data comparisons. Conclusion: The proposed entropic techniques are suitable to assess the complexity between any two medical coding systems where mappings or crosswalks exist. The more the entropy, the more likelihood of transition challenges. Users can utilize the suggested techniques as a guide to prioritize training efforts to improve documentation and increase the chances of accurate coding, code validity, and longitudinal data comparisons.
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