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Genomics and electronic health record systems.

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Integrating genomic data into electronic health records (EHRs) supports clinical decisions. This review explores various approaches for incorporating genomic information into EHR systems for improved healthcare outcomes.

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Area of Science:

  • Genomic Medicine
  • Health Informatics
  • Clinical Decision Support

Background:

  • Genomic data is increasingly integrated into electronic health records (EHRs).
  • The adoption of EHRs and genomic data integration is a relatively recent development.
  • Existing approaches for integrating genomic data into EHRs are varied and often system-specific.

Purpose of the Study:

  • To provide a high-level overview of approaches for integrating genomic information into EHRs.
  • To emphasize the functionalities these approaches aim to achieve.
  • To discuss challenges and future directions for seamless integration of whole genome sequencing and EHRs.

Main Methods:

  • Review of existing literature and case reports on genomic data in EHRs.
  • High-level analysis of functional goals for genomic data integration.
  • Use of a pharmacogenomics example to illustrate data linkage for clinical actionability.

Main Results:

  • Diverse strategies exist for incorporating genomic analysis results into EHRs.
  • Customization of EHR systems leads to varied and non-generalizable integration approaches.
  • The goal is to achieve clinically actionable insights from genomic data within EHRs.

Conclusions:

  • Integrating genomic data into EHRs is crucial for advancing clinical decision support.
  • Further development is needed for generalized and seamless integration of advanced genomic technologies like whole genome sequencing with EHRs.
  • Future systems should facilitate a more unified approach to genomic and clinical data.