title: Domain analysis and modeling to improve comparability of health statistics.
abstract: Health statistics is an essential element to improve the ability of managers of health institutions, healthcare researchers, policy makers, and health professionals to formulate appropriate course of reactions and to make decisions based on evidence. To ensure adequate health statistics, standards are of critical importance. A study on healthcare statistics domain analysis is underway in an effort to improve usability and comparability of health statistics. The ongoing study focuses on structuring the domain knowledge and making the knowledge explicit with a data element dictionary being the core. Supplemental to the dictionary are a domain term list, a terminology dictionary, and a data model to help organize the concepts constituting the health statistics domain.
authors.affiliation: Department of Medical Informatics, Kawasaki University of Medical Welfare, Japan. m-okada@mw.kawasaki-m.ac.jp
authors.forename: M
authors.initials: M
authors.lastname: Okada
authors.forename: H
authors.initials: H
authors.lastname: Hashimoto
authors.forename: T
authors.initials: T
authors.lastname: Ohida
mesh_terms: D003710:Demography; D006801:Humans; D013223:Statistics as Topic / Q000145:classification / Q000592:standards*; D009626:Terminology as Topic; D014798:Vital Statistics