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. 2022 Nov 8;12(11):1867.
doi: 10.3390/jpm12111867.

The Development of an Infrastructure to Facilitate the Use of Whole Genome Sequencing for Population Health

Affiliations

The Development of an Infrastructure to Facilitate the Use of Whole Genome Sequencing for Population Health

Nephi A Walton et al. J Pers Med. .

Abstract

The clinical use of genomic analysis has expanded rapidly resulting in an increased availability and utility of genomic information in clinical care. We have developed an infrastructure utilizing informatics tools and clinical processes to facilitate the use of whole genome sequencing data for population health management across the healthcare system. Our resulting framework scaled well to multiple clinical domains in both pediatric and adult care, although there were domain specific challenges that arose. Our infrastructure was complementary to existing clinical processes and well-received by care providers and patients. Informatics solutions were critical to the successful deployment and scaling of this program. Implementation of genomics at the scale of population health utilizes complicated technologies and processes that for many health systems are not supported by current information systems or in existing clinical workflows. To scale such a system requires a substantial clinical framework backed by informatics tools to facilitate the flow and management of data. Our work represents an early model that has been successful in scaling to 29 different genes with associated genetic conditions in four clinical domains. Work is ongoing to optimize informatics tools; and to identify best practices for translation to smaller healthcare systems.

Keywords: genome sequencing; genomic medicine; healthcare infrastructure; population health genomics; population sequencing; precision medicine.

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Conflict of interest statement

B.H. is a paid consultant for the development of bioinformatics applications. M.A.B is a software developer for a commercial software development company, Brainspin. C.M.F. is a paid consultant for the American Society of Health-System Pharmacists. K.S. is employed by DeCODE genetics/Amgen, Inc. K.A.S. is employed by Ambry Genetics Laboratory. All other authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Diagram of population health genomics clinical workflow. * (GPACS) Genotype-Phenotype Archiving and Communication System.
Figure 2
Figure 2
Diagram from our provider-facing information given to primary care providers for management of hereditary hemochromatosis.

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