Skip to main content

Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network.

Publication ,  Journal Article
Levy, KD; Blake, K; Fletcher-Hoppe, C; Franciosi, J; Goto, D; Hicks, JK; Holmes, AM; Kanuri, SH; Madden, EB; Musty, MD; Orlando, L; Pratt, VM ...
Published in: Genet Med
March 2019

PURPOSE: While there is growing scientific evidence for and significant advances in the use of genomic technologies in medicine, there is a significant lag in the clinical adoption and sustainability of genomic medicine. Here we describe the findings from the National Human Genome Research Institute's (NHGRI) Implementing GeNomics In pracTicE (IGNITE) Network in identifying key constructs, opportunities, and challenges associated with driving sustainability of genomic medicine in clinical practice. METHODS: Network members and affiliates were surveyed to identify key drivers associated with implementing and sustaining a genomic medicine program. Tallied results were used to develop and weigh key constructs/drivers required to support sustainability of genomic medicine programs. RESULTS: The top three driver-stakeholder dyads were (1) genomic training for providers, (2) genomic clinical decision support (CDS) tools embedded in the electronic health record (EHR), and (3) third party reimbursement for genomic testing. CONCLUSION: Priorities may differ depending on healthcare systems when comparing the current state of key drivers versus projected needs for supporting genomic medicine sustainability. Thus we provide gap-filling guidance based on IGNITE members' experiences. Although results are limited to findings from the IGNITE network, their implementation, scientific, and clinical experience may be used as a road map by others considering implementing genomic medicine programs.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Genet Med

DOI

EISSN

1530-0366

Publication Date

March 2019

Volume

21

Issue

3

Start / End Page

743 / 747

Location

United States

Related Subject Headings

  • United States
  • Surveys and Questionnaires
  • Precision Medicine
  • National Human Genome Research Institute (U.S.)
  • Humans
  • Genomics
  • Genetics & Heredity
  • Electronic Health Records
  • Delivery of Health Care
  • Decision Support Systems, Clinical
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Levy, K. D., Blake, K., Fletcher-Hoppe, C., Franciosi, J., Goto, D., Hicks, J. K., … Ginsburg, G. S. (2019). Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network. Genet Med, 21(3), 743–747. https://doi.org/10.1038/s41436-018-0080-y
Levy, Kenneth D., Kathryn Blake, Colette Fletcher-Hoppe, James Franciosi, Daisuke Goto, James K. Hicks, Ann M. Holmes, et al. “Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network.Genet Med 21, no. 3 (March 2019): 743–47. https://doi.org/10.1038/s41436-018-0080-y.
Levy KD, Blake K, Fletcher-Hoppe C, Franciosi J, Goto D, Hicks JK, et al. Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network. Genet Med. 2019 Mar;21(3):743–7.
Levy, Kenneth D., et al. “Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network.Genet Med, vol. 21, no. 3, Mar. 2019, pp. 743–47. Pubmed, doi:10.1038/s41436-018-0080-y.
Levy KD, Blake K, Fletcher-Hoppe C, Franciosi J, Goto D, Hicks JK, Holmes AM, Kanuri SH, Madden EB, Musty MD, Orlando L, Pratt VM, Ramos M, Wu R, Ginsburg GS. Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network. Genet Med. 2019 Mar;21(3):743–747.

Published In

Genet Med

DOI

EISSN

1530-0366

Publication Date

March 2019

Volume

21

Issue

3

Start / End Page

743 / 747

Location

United States

Related Subject Headings

  • United States
  • Surveys and Questionnaires
  • Precision Medicine
  • National Human Genome Research Institute (U.S.)
  • Humans
  • Genomics
  • Genetics & Heredity
  • Electronic Health Records
  • Delivery of Health Care
  • Decision Support Systems, Clinical