Transforming health with genomic data
Dr. Freimuth and his colleagues develop novel technologies that enable clinicians to use a person's unique genomic data to individualize care. These technologies are critical to making genomic-based precision medicine a reality. They also enable new discoveries by making data computable and artificial intelligence-ready.
Overview
Genomic medicine provides new opportunities to diagnose, treat, and prevent disease. But new knowledge is discovered at a pace far exceeding the ability to share, manage, and integrate that knowledge into clinical information systems.
Dr. Freimuth's Informatics of Genomic Medicine Laboratory at Mayo Clinic focuses on several areas of research. These include:
- Identifying more scalable, efficient methods for implementing genomic-based clinical decision support rules within a health system and creating ways to share genomic clinical decision support rules between systems.
- Building systems to enable researchers to evaluate the medical outcomes of genomic-guided therapy decisions.
- Developing industry-wide standards, including data models, terminologies, and message formats, that facilitate the exchange of clinical genomics data and make data artificial intelligence-ready.
- Improving methods for returning clinical genomic data to patients and providing web-based access to genomic treatment guidelines on mobile devices.
The goal of this research is to develop genomic clinical decision support tools. These tools can enable healthcare professionals to understand and make use of a patient's unique genomic data by providing recommendations based on clinical practice guidelines and up-to-date knowledge bases.
Resources
Dr. Freimuth's lab works with groups inside and outside of Mayo Clinic to study methods, tools and systems for managing genomic information.
Mayo Clinic resources
Research networks and projects
Professional organizations
Standards development