Precision Medicine Growth Hinges on Electronic Health Records
By leveraging the historical data included in the records, healthcare providers can target patients, populations more than ever.
Advancements in genomic research have given medical professionals the ability to create highly detailed physiological profiles of individuals as well as a baseline for predicting the impact of genes on disease. And the catalyst for putting genomic principles into practice is the electronic health record, says researcher David Crockett.
As senior director of research and predictive analytics at Health Catalyst in Salt Lake City and assistant professor of pathology at the University of Utah’s School of Medicine, Crockett has spent considerable time and effort analyzing the link between electronic health records and precision medicine.
In course of his research, he focused on bioinformatics, biomarker discovery, immunology, molecular oncology, genomics and proteomics. Within that framework, he secured various predictive modeling patents as well as developing algorithms and computational models.
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