HDQM2: Healthcare Data Quality Maturity Model

Authors

Javier Mauricio Pinto-Valverde, Tecnológico de MonterreyFollow
Miguel Ángel Pérez-Guardado, Tecnológico de MonterreyFollow
Lorena Gomez-Martinez, Tecnológico de MonterreyFollow
Martha Corrales-Estrada, Tecnológico de MonterreyFollow
Juan Carlos Lavariega-Jarquín, Tecnológico de MonterreyFollow

Document Type

Article

Version

publisher_pdf

Publication Date

10-2013

Abstract

Data Quality is a central issue within the development of Healthcare Systems, for both the delivery of the service as well as for the establishment of public policies. Public and private Healthcare Systems in Latin America do not have a framework of reference which allows them to have knowledge of the level of Data Quality (DQ). In other frameworks found within literature the evaluation of DQ has been centered within the dimensions. The intention of this research is to build an evaluation model for DQ based on maturity. This research contributes an innovating and comprehensive model, based on the data life cycle and maturity models, applied to the Health Sector, mainly because it contributes to the switch from the traditional physical mediums to Electronic Medical Records. This article presents the advancements of the research that is being conducted in some hospitals of the Healthcare Cluster of Monterrey, Mexico.

WMU ScholarWorks Citation

Pinto-Valverde, Javier Mauricio; Pérez-Guardado, Miguel Ángel; Gomez-Martinez, Lorena; Corrales-Estrada, Martha; and Lavariega-Jarquín, Juan Carlos, "HDQM2: Healthcare Data Quality Maturity Model" (2013). Transactions of the International Conference on Health Information Technology Advancement. 37.
https://scholarworks.wmich.edu/ichita_transactions/37