Journal of Pathology Informatics (Jan 2015)

Practical considerations in genomic decision support: The eMERGE experience

  • Timothy M Herr,
  • Suzette J Bielinski,
  • Erwin Bottinger,
  • Ariel Brautbar,
  • Murray Brilliant,
  • Christopher G Chute,
  • Beth L Cobb,
  • Joshua C Denny,
  • Hakon Hakonarson,
  • Andrea L Hartzler,
  • George Hripcsak,
  • Joseph Kannry,
  • Isaac S Kohane,
  • Iftikhar J Kullo,
  • Simon Lin,
  • Shannon Manzi,
  • Keith Marsolo,
  • Casey Lynnette Overby,
  • Jyotishman Pathak,
  • Peggy Peissig,
  • Jill Pulley,
  • James Ralston,
  • Luke Rasmussen,
  • Dan M Roden,
  • Gerard Tromp,
  • Timothy Uphoff,
  • Chunhua Weng,
  • Wendy Wolf,
  • Marc S Williams,
  • Justin Starren

DOI
https://doi.org/10.4103/2153-3539.165999
Journal volume & issue
Vol. 6, no. 1
pp. 50 – 50

Abstract

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Background: Genomic medicine has the potential to improve care by tailoring treatments to the individual. There is consensus in the literature that pharmacogenomics (PGx) may be an ideal starting point for real-world implementation, due to the presence of well-characterized drug-gene interactions. Clinical Decision Support (CDS) is an ideal avenue by which to implement PGx at the bedside. Previous literature has established theoretical models for PGx CDS implementation and discussed a number of anticipated real-world challenges. However, work detailing actual PGx CDS implementation experiences has been limited. Anticipated challenges include data storage and management, system integration, physician acceptance, and more. Methods: In this study, we analyzed the experiences of ten members of the Electronic Medical Records and Genomics (eMERGE) Network, and one affiliate, in their attempts to implement PGx CDS. We examined the resulting PGx CDS system characteristics and conducted a survey to understand the unanticipated implementation challenges sites encountered. Results: Ten sites have successfully implemented at least one PGx CDS rule in the clinical setting. The majority of sites elected to create an Omic Ancillary System (OAS) to manage genetic and genomic data. All sites were able to adapt their existing CDS tools for PGx knowledge. The most common and impactful delays were not PGx-specific issues. Instead, they were general IT implementation problems, with top challenges including team coordination/communication and staffing. The challenges encountered caused a median total delay in system go-live of approximately two months. Conclusions: These results suggest that barriers to PGx CDS implementations are generally surmountable. Moreover, PGx CDS implementation may not be any more difficult than other healthcare IT projects of similar scope, as the most significant delays encountered were not unique to genomic medicine. These are encouraging results for any institution considering implementing a PGx CDS tool, and for the advancement of genomic medicine.

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