Study on classification and coding for public health information / 中华预防医学杂志

ABSTRACT

<p><b>OBJECTIVE</b>To improve data unified descriptions, identification, query and management in public health service by means of establishing public health information classification framework and coding system.</p><p><b>METHODS</b>Data sets created from all fields in public health, scientific research, health management were classified into four layers of frameworks primary class, sub-class, main class and subject areas by means of integration of vertical with horizontal classifications. All these classes were further abstracted, merged and coded by individual characteristics in public health systems.</p><p><b>RESULTS</b>(1) 4 subject areas in diseases control and prevention, public health service, public health management and sanitation surveillance were established including a total of 18 main classes, 49 sub-classes and 205 primary classes. (2) 7 digits and 4 segments (area code, code, disease classification code) were designed including a total of 30 digits multi-classification codes. The purpose of data effectively classifying and coding by application of 50 basic data sets in 9 areas fo public health has been realized.</p><p><b>CONCLUSION</b>We believe that this method is of efficiency in data classification and code for public health information communication.</p>