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Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources
Event date: 4/6/2022 1:00 PM - 2:00 PM Export event
Health Center Case Examples in Coding and Documenting Social Risks

Health Center Case Examples in Coding and Documenting Social Risks

Roundup of Final Privacy and Data Sharing Considerations and Takeaways | HITEQ Learning Collaborative

 

This health center learning collaborative series presented health center case examples that explore the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encouraged participants to discuss the implications for health centers and their patients.

Session 5, April 6, 2022: Considerations when Documenting Risk of Acquiring HIV and/ Gender Identity and Sexual Orientation

The HITEQ team provided a review of key considerations on coding and documenting social information that were raised during presentation and discussion of case examples and facilitated discussion on application of the considerations within participating health center’s unique contexts. Participating health centers shared their takeaways and how those takeaways may be enacted in the clinic. 

 

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Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.