SNHU
May 29, 2022
HIM 350 Module Four Journal Assignment
Information governance is considered an essential part of an organization. In health
information management, information governance uses "policies, procedures, and
multidisciplinary arrangements to manage and optimize in organizations information for its
immediate and future needs including regulatory, legal, risk, environmental, and operational
requirements" (Oachs, 2020). For optimal efficiency a framework is created which includes
various stages to ensure the best outcome. As published in the article "Best Practices for Data
Analytics Reporting Lifecycles: Quality in Report Building and Data Validation" by the Journal
of AHIMA there are 6 steps in the information governance lifecycle.
The lifecycle starts with scoping of request. This entails a clear explanation of the
problem and what data sources will be used for the request. The second stage is data collection
which reviews data standards and/ or data dictionary and also plan for reporting methodology
The third step is processing the data to confirm that the data matches and that if there is any
missing data to report it. In this step the data is manipulated. The fourth step is to build the final
report with the collected and manipulated data. In the fifth step now that the report has been
created, it is validated before it is deployed and distributed. In the sixth step the distributed report
becomes a resource that must be maintained. Analysts must ensure that system updates or
modifications do not impact reports.
Information governance provides high quality data by following this data lifecycle. This
ensures the maintenance of high-quality data by implementing the appropriate systems and
processes. It is important for healthcare facilities to create an information governance plan to
enhance their practices, protect protected health information (PHI) from any breaches, and
achieve compliance with regulations.
References
Best Practices for Data Analytics Reporting Lifecycles: Quality in Report Building and Data Validation. (2018). Journal of AHIMA, 89(9), 4045
Oachs, P. K., & Watters, A. (2020). Health Information Management: Concepts, principles, and Practice. AHIMA, American Health Information Management Association.