TITLE: Data Quality Beyond Borders: Modernizing Health Information Infrastructure
Using AHIMAs Data Quality Model
Scenario:The flow of patient care must run efficiently and effectively from the point of admission to discharge. Clinical and Administrative health care teams greatlyrely on the availability of complete and accurate data to examine, diagnosis, devise a treatment plan, and monitor the patients 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 AHIMAs DQM Model to assist in modernizing health information infrastructures in other countries. The final product to submit is a proposed Health RecordContent and Documentation Checklists and Proceduresthat includes all items in the following list. Submit one (1) single Microsoft Word document at the conclusion. This is an individual assignment.
Deliverables:
- Compare and contrast the American Health Information Management Association s (AHIMAs) Data Quality Management Model (DQM) in comparison to the Canadian Institute for Health Information (CIHI) Data Quality Framework (DQF) aka Six Dimensions of Quality
- Assess the effectiveness of both models by developing two (2) separate data quality checklists based on the AHIMA DQM Model and CIHI Data Quality Framework, to be used, randomly, for the evaluation of a sampling of inpatient health records. The results yielded from the assessment will be used as a tool in the development of a data quality management system. The checklists must assess each data quality characteristic from the two models and include at least two (2) measures to assess each data quality characteristics . A checkbox for each measure, along with a comment box to record any findings, recommendations and/or notes must be included on the checklists. In a written one (1) to two (2) page summary, address the following:
- Summarize significant limitations found with either model
- A final recommendation to submit to AHIMAs global health workforce
- Discuss any concerns in the development and/or use of the data quality checklists
