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Building Clinical Informatics Learning Community Session 2
Data Validation: Building a Playbook for Data Quality

Resource Topic: Health Information Technology (HIT)/Data

Resource Subtopic: —Quality Improvement, Electronic Health Records (EHRs).

Keywords: Data Collection, Management, and Analytics, Quality Measures.

Year Developed: 2021

Resource Type: Archived Webinar.

Primary Audience: Clinicians; Administrative Staff

Language: English

Developed by: National Association of Community Health Centers (See other resources developed by this organization).

Resource Summary: Extracting data from EHRs and health IT systems can be challenging; unfortunately, without a coordinated Data Quality Plan to clean and validate data, a large proportion of electronic health data do not reach a minimum level of quality for most use cases. A clear plan for data extraction, mapping, analytics, and validation can help immensely to create better data quality, particularly if applied consistently across use cases and iteratively over multiple data extracts. Here we present a few strategies and tools for evaluating data quality and hear from a partner who routinely engages in data quality practices with FQHCs.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,375,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.