Moore G W, Berman J J
Department of Pathology, Baltimore VA Medical Center, Maryland.
Proc Annu Symp Comput Appl Med Care. 1994:225-9.
Medical coding has become an important new industry that has originated from the field of medical informatics. Automatic coding of specimens has emerged as a way of relieving hospitals from the cost of paying professional coders and for achieving uniform coding for all specimens. Unfortunately, automatic coding, like manual coding, has numerous pitfalls. Further, the coding algorithms employed by manufacturers of automatic coders are typically proprietary. We have developed a method for automatic coding of pathology reports. Using this public domain autocoder, we have previously demonstrated that automatic SNOMED coding was superior to manual coding in several measurable categories, including the overall number of codes generated and the number of distinct code entities provided. In this report, we describe an algorithm that executes this strategy in the M-Technology environment.
医学编码已成为一个源自医学信息学领域的重要新兴行业。标本的自动编码已成为一种减轻医院支付专业编码员成本并实现所有标本统一编码的方法。不幸的是，与人工编码一样，自动编码也有许多缺陷。此外，自动编码器制造商所采用的编码算法通常是专有的。我们已经开发出一种对病理报告进行自动编码的方法。使用这个公共领域的自动编码器，我们之前已经证明，在几个可衡量的类别中，包括生成的代码总数和提供的不同代码实体数量，自动SNOMED编码优于人工编码。在本报告中，我们描述了一种在M技术环境中执行此策略的算法。
