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Published on: November 22, 2019
Practical challenges in integrating genomic data into the electronic health record
Abel N Kho1, Luke V Rasmussen, John J Connolly
1Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Summary
Integrating genetic testing into electronic health records (EHRs) faces challenges. Overcoming data complexity, standards, and EHR limitations is key for widespread clinical adoption of genomic medicine.
Area of Science:
- Genomics
- Health Informatics
- Clinical Genetics
Background:
- Genetic testing has seen limited integration into routine clinical practice.
- Electronic health records (EHRs) offer a potential pathway for broader dissemination of genetic testing.
- Genomic medicine implementation requires addressing current healthcare system infrastructures.
Purpose of the Study:
- To identify practical challenges hindering the integration of genetic testing data into EHR systems.
- To explore the necessary adaptations for successful genomic data incorporation into clinical workflows.
- To highlight the potential of EHRs in advancing the use of genetic information in healthcare.
Main Methods:
- Analysis of current barriers to genomic data integration within EHRs.
- Review of technical, regulatory, and privacy-related challenges.
- Assessment of EHR system capabilities for handling complex genetic information.
Main Results:
- Key challenges include the size and complexity of genetic test results.
- Inadequate standardization of clinical and genetic data impedes interoperability.
- EHR systems often lack the capacity for storing and analyzing extensive genomic data.
- Regulatory interpretation and genetic privacy concerns present additional hurdles.
Conclusions:
- Significant redesign of existing EHR systems may be necessary for effective genomic data integration.
- Addressing data standards, system capacity, and regulatory clarity is crucial.
- Successful EHR integration is vital for realizing the potential of genomic medicine in routine care.
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