Data Quality Model

Both of the Data Quality Model tool from American Health Information Management Association(AHIMA) and Canadian Institute of Health Information (CIHI) are developed to provide the secure and quality care service in their respective field. Each of them have developed their own characteristics of data quality to support the decision making application within the organization.
Table: Data Quality checklist
Data Quality characteristics Data quality measure Meet the data quality measures
Precision Data should be enough to run the application process smoothly Yes, AHIMA has this data quality measure. No CIHI does not has this measure in their tool
Timeliness Observation of used of data in timely manner Yes, both AHIMA and CIHI observed their data quality in timely manner.
Accuracy Every data is correct with right person Yes, AHIMA has this quality but CIHI public the result and ask …show more content…
AHIMA information governance principles for a health care organization have developed eight characteristics. Accountability, transparency, integrity, protection, compliance, retention, disposition and availability. In comparison, Canadian quality of information guideline have just seven attribute of quality of information that includes relevance, accuracy, reliability, completeness, understandability, accessibility and timeliness. It looks like AHIMA is updating its characters in a timely manner, it was latest updated on 2015 and it has more domain and characteristics in a table format that made its user easy to analysis their requirement. CIHI is updated on 2016 but they are still using their 2003 policy of management of information that might be the reason their dimension of quality is limited. Similarly, AHIMA core model provide the parameter base on the compliance, policies, right decision and responsibilities depends upon the need of any organization which made this tool used in most the healthcare