Int J Med Inform - Harmonization of health data at national level: a pilot study in China.

Tópicos

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Resumo

JECTIVE: For the purpose of establishing electronic health record (EHR), business-oriented health data distributed in different systems should be integrated to focus on individuals. This study is aimed at collecting health data items that are now nationally available in various health information systems, and harmonizing them by modeling and defining the data elements.METHODS: This study followed a bottom-up strategy in data standard development. Health data items were identified and collected by referring to national health service regulations, consulting domain experts and performing field investigations. Data items were classified and modeled based on recognized domain knowledge, information standards and specifications developed by standard development organizations (SDOs) of other countries. Data elements were extracted from data items and defined according to ISO/IEC 11179 -Metadata registries (MDR) and confirmed needs.RESULTS: 1588 data items were collected from 33 recording forms that have been used nationally in health services, and were classified with a conceptual data model that was composed of 7 super classes (healthcare clients, healthcare providers, birth registry, health event/act, healthcare process, death, and others) and 15 classes (person's identification, person's socio-demographic characteristics, address, communication, provider-organization, provider-individual, birth, health event/act, observation, procedure, drug and material administration, recommendation, evaluation, expenditure, death, others). By normalizing the concepts and representations of data items, data elements were derived and defined as the attributes of classes in the data model. Data items were specified as instances of corresponding data elements.CONCLUSIONS: A large number of health data have been collected nationwide but person's life-long health record is incomplete and inconsistent now. To integrate such massive quantity of health data from various sources, a conceptual data model was established to organize data items, avoiding conflicts and duplications in between. For data consistency, data elements should be extracted from the data items and defined as attributes of classes in the data model by choosing essential metadata attributes. Treating data items as instances of well defined data elements might make data in different contexts manageable and agreeable. To be semantically unambiguous, further study should be performed to deal with the standardization of detailed medical information, and perfect the approach of data harmonization.

Resumo Limpo

jectiv purpos establish electron health record ehr businessori health data distribut differ system integr focus individu studi aim collect health data item now nation avail various health inform system harmon model defin data elementsmethod studi follow bottomup strategi data standard develop health data item identifi collect refer nation health servic regul consult domain expert perform field investig data item classifi model base recogn domain knowledg inform standard specif develop standard develop organ sdos countri data element extract data item defin accord isoiec metadata registri mdr confirm needsresult data item collect record form use nation health servic classifi conceptu data model compos super class healthcar client healthcar provid birth registri health eventact healthcar process death other class person identif person sociodemograph characterist address communic providerorgan providerindividu birth health eventact observ procedur drug materi administr recommend evalu expenditur death other normal concept represent data item data element deriv defin attribut class data model data item specifi instanc correspond data elementsconclus larg number health data collect nationwid person lifelong health record incomplet inconsist now integr massiv quantiti health data various sourc conceptu data model establish organ data item avoid conflict duplic data consist data element extract data item defin attribut class data model choos essenti metadata attribut treat data item instanc well defin data element might make data differ context manag agreeabl semant unambigu studi perform deal standard detail medic inform perfect approach data harmon

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