Data Quality Beyond Borders: Modernizing Health Information Infrastructure Using AHIMA’s Data Quality Model

In order for the flow of patient care to run efficiently and effectively from the point of admission to discharge.  Clinical and Administrative health care teams greatly rely on the availability of complete and accurate data. Complete and accurate data reflects a level of “quality data” within the health record and personal health record to examine, diagnosis, devise a health care plan and monitor the patient’s outcome/or response to the prescribed health care plan. As a participating member of the American Health Information Management Association (AHIMA), you were appointed to serve on a global health workforce aimed at developing a Data Quality Management System similar to that of AHIMA’s DQM Model for assist in modernizing health information infrastructures in other countries. The final product to submit is a proposed Health Record Content & Documentation Checklists & Procedures that include the following: