10th Annual Utah's Health Services Research Conference - Recommendations for Transparent Reporting...
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Transcript of 10th Annual Utah's Health Services Research Conference - Recommendations for Transparent Reporting...
![Page 1: 10th Annual Utah's Health Services Research Conference - Recommendations for Transparent Reporting of Data Quality Assessment Results for Observational Healthcare Data By: Lucy A Savitz](https://reader035.fdocuments.in/reader035/viewer/2022080909/55c526f7bb61eb0a7d8b4619/html5/thumbnails/1.jpg)
CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
EDM Forum - Consumer-Patient-Researcher Roundtable
Lucy A. Savitz, Ph.D., MBAPreviewing
Recommendations for Transparent Reporting of Data Quality Assessment Results for Observational Healthcare DataM. Kahn and E Holve http://repository.academyhealth.org/egems/ forthcoming
#HSR10year #LASavitz
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
Questioning Data Quality•Growing use of electronic data for studies using observational clinical and administrative data for secondary data analysis
•Question of “fitness for use”•Expanded Learning Healthcare Collaboratives combine dataoWorkflow differencesoRecording biasesoVariations in data collected
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
Thought leader input solicited via:
Two face-to-face meetingsConsumer-Patient StakeholdersComparative Effectiveness Research Stakeholders
Multiple webinars aimed at HSR communityOpen access, online wiki
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
Key Findings from Stakeholder Meetings
• Implications of poor data quality (DQ)
•Barriers to conducting & reporting DQ assessments
• Interest in involving patients and policy makers in DQ, across all stages of the data life cycle
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
Exploring the Topic of Data Quality
•How to define the current data quality “problem,” especially in the context of multi-institutional data sharing networks?
•Harvest concrete examples from research and quality improvement networks illustrating the potential value of developing a data quality framework.
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
Data Quality Reporting Framework
•Systematic approach for reporting on DQ
•Describes DQ stewardship
•Provides 20 DQ reporting recommendations
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE
More can be found at:
http://repository.academyhealth.org/egems/
http://www.edm-forum.org/home
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CENTER FOR CLINICAL & TRANSLATIONAL SCIENCE