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Updated: May 5, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Biobanking informatics infrastructure to support clinical and translational research
Bernie Lasalle1, Michael Varner, Jeff Botkin
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112.
The Utah Biohealth Initiative created an infrastructure linking biospecimens and electronic health records for advanced research. This system demonstrates robust data integration, improving health understanding and patient care.
Area of Science:
- Clinical and Translational Research
- Health Informatics
- Biomedical Data Integration
Background:
- High-value clinical and translational research requires robust infrastructure.
- The University of Utah Health Sciences (UUHSC) and Intermountain Healthcare (IH) aim to advance research capabilities.
- Integrating biospecimens and electronic health records (EHR) is crucial for next-generation research.
Purpose of the Study:
- To develop and demonstrate an infrastructure linking biospecimens and EHR for research.
- To support clinical and translational research initiatives.
- To improve understanding of health and disease and enhance healthcare value.
Main Methods:
- Phase I of the Utah BioHealth Initiative (UBI) established legal, regulatory, and IT infrastructure.
- Utilized the Federated Utah Research and Translational Health electronic Repository (FURTHeR).
- Combined EHR and biospecimen data from a study involving both UUHSC and IH.
Main Results:
- Successfully demonstrated the robustness of the integrated infrastructure.
- Enabled the linkage of biospecimen and EHR data for research purposes.
- Validated the IT infrastructure's capability to support multi-institutional research.
Conclusions:
- The Utah Biohealth Initiative provides a vital infrastructure for advanced clinical and translational research.
- The FURTHeR repository effectively integrates diverse health data.
- This initiative enhances the potential for improved health outcomes and understanding of diseases.
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