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Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
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References

Amendola, L. M., M. O. Dorschner, P. D. Robertson, J. S. Salama, R. Hart, B. H. Shirts, M. L. Murray, M. J. Tokita, C. J. Gallego, D. S. Kim, J. T. Bennett, D. R. Crosslin, J. Ranchalis, K. L. Jones, E. A. Rosenthal, E. R. Jarvik, A. Itsara, E. H. Turner, D. S. Herman, J. Schleit, A. Burt, S. M. Jamal, J. L. Abrudan, A. D. Johnson, L. K. Conlin, M. C. Dulik, A. Santani, D. R. Metterville, M. Kelly, A. K. Foreman, K. Lee, K. D. Taylor, X. Guo, K. Crooks, L. A. Kiedrowski, L. J. Raffel, O. Gordon, K. Machini, R. J. Desnick, L. G. Biesecker, S. A. Lubitz, S. Mulchandani, G. M. Cooper, S. Joffe, C. S. Richards, Y. Yang, J. I. Rotter, S. S. Rich, C. J. O’Donnell, J. S. Berg, N. B. Spinner, J. P. Evans, S. M. Fullerton, K. A. Leppig, R. L. Bennett, T. Bird, V. P. Sybert, W. M. Grady, H. K. Tabor, J. H. Kim, M. J. Bamshad, B. Wilfond, A. G. Motulsky, C. R. Scott, C. C. Pritchard, T. D. Walsh, W. Burke, W. H. Raskind, P. Byers, F. M. Hisama, H. Rehm, D. A. Nickerson, and G. P. Jarvik. 2015. Actionable exomic incidental findings in 6503 participants: Challenges of variant classification. Genome Research 25(3):305–315.

Bielinski, S. J., J. E. Olson, J. Pathak, R. M. Weinshilboum, L. Wang, K. J. Lyke, E. Ryu, P. V. Targonski, M. D. Van Norstrand, M. A. Hathcock, P. Y. Takahashi, J. B. McCormick, K. J. Johnson, K. J. Maschke, C. R. Rohrer Vitek, M. S. Ellingson, E. D. Wieben, G. Farrugia, J. A. Morrisette, K. J. Kruckeberg, J. K. Bruflat, L. M. Peterson, J. H. Blommel, J. M. Skierka, M. J. Ferber, J. L. Black, L. M. Baudhuin, E. W. Klee, J. L. Ross, T. L. Veldhuizen, C. G. Schultz, P. J. Caraballo, R. R. Freimuth, C. G. Chute, and I. J. Kullo. 2014. Preemptive genotyping for personalized medicine: Design of the right drug, right dose, right time—Using genomic data to individualize treatment protocol. Mayo Clinic Proceedings 89(1):25–33.

Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
×

Delaney, J. T., A. H. Ramirez, E. Bowton, J. M. Pulley, M. A. Basford, J. S. Schildcrout, Y. Shi, R. Zink, M. Oetjens, H. Xu, J. H. Cleator, E. Jahangir, M. D. Ritchie, D. R. Masys, D. M. Roden, D. C. Crawford, and J. C. Denny. 2012. Predicting clopidogrel response using DNA samples linked to an electronic health record. Clinical Pharmacology and Therapeutics 91(2):257–263.

Denny, J. C., L. Bastarache, M. D. Ritchie, R. J. Carroll, R. Zink, J. D. Mosley, J. R. Field, J. M. Pulley, A. H. Ramirez, E. Bowton, M. A. Basford, D. S. Carrell, P. L. Peissig, A. N. Kho, J. A. Pacheco, L. V. Rasmussen, D. R. Crosslin, P. K. Crane, J. Pathak, S. J. Bielinski, S. A. Pendergrass, H. Xu, L. A. Hindorff, R. Li, T. A. Manolio, C. G. Chute, R. L. Chisholm, E. B. Larson, G. P. Jarvik, M. H. Brilliant, C. A. McCarty, I. J. Kullo, J. L. Haines, D. C. Crawford, D. R. Masys, and D. M. Roden. 2013. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nature Biotechnology 31(12):1102–1110.

Dorschner, M. O., L. M. Amendola, B. H. Shirts, L. Kiedrowski, J. Salama, A. S. Gordon, S. M. Fullerton, P. Tarczy-Hornoch, P. H. Byers, and G. P. Jarvik. 2014. Refining the structure and content of clinical genomic reports. American Journal of Medical Genetics Part C: Seminars in Medical Genetics 166C(1):85–92.

Etheredge, L. M. 2014. Rapid learning: A breakthrough agenda. Health Affairs (Millwood) 33(7):1155–1162.

Evans, B. J., M. O. Dorschner, W. Burke, and G. P. Jarvik. 2014. Regulatory changes raise troubling questions for genomic testing. Genetics in Medicine 16(11):799–803.

Friedman, C., J. Rubin, J. Brown, M. Buntin, M. Corn, L. Etheredge, C. Gunter, M. Musen, R. Platt, W. Stead, K. Sullivan, and D. Van Houweling. 2015. Toward a science of learning systems: A research agenda for the high-functioning learning health system. Journal of the American Medical Informatics Association 22(1):43–50.

Ginsburg, G. 2014. Medical genomics: Gather and use genetic data in health care. Nature 508(7497):451–453.

IOM (Institute of Medicine). 2012. Best care at lower cost: The path to continuously learning health care in America. Washington, DC: The National Academies Press.

Keroack, M. A., N. R. McConkie, E. K. Johnson, G. J. Epting, I. M. Thompson, and F. Sanfilippo. 2011. Functional alignment, not structural integration, of medical schools and teaching hospitals is associated with high performance in academic health centers. American Journal of Surgery 202(2):119–126.

Lauer, M. S., and D. Bonds. 2014. Eliminating the “expensive” adjective for clinical trials. American Heart Journal 167(4):419–420.

Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
×

Lauer, M. S., and R. B. D’Agostino, Sr. 2013. The randomized registry trial—The next disruptive technology in clinical research? New England Journal of Medicine 369(17):1579–1581.

Ledford, H. 2013. “Master protocol” aims to revamp cancer trials. Nature 498(7453):146–147.

Ray, T. 2013. Two conflicting prospective RCTs on warfarin PGx provide no definitive guidance to physicians. GenomeWeb. https://www.genomeweb.com/clinical-genomics/two-conflicting-prospective-rcts-warfarin-pgx-provide-no-definitive-guidance-phy (accessed March 20, 2015).

Ray, T. 2015. VA launches precision oncology program in New England with hopes of future national expansion. GenomeWeb. https://www.genomeweb.com/sequencing-technology/va-launches-precision-oncology-program-new-englandhopes-future-national (accessed March 27, 2015).

Ritchie, M. D., J. C. Denny, D. C. Crawford, A. H. Ramirez, J. B. Weiner, J. M. Pulley, M. A. Basford, K. Brown-Gentry, J. R. Balser, D. R. Masys, J. L. Haines, and D. M. Roden. 2010. Robust replication of genotype–phenotype associations across multiple diseases in an electronic medical record. American Journal of Human Genetics 86(4):560–572.

Robinson, P. N. 2012. Deep phenotyping for precision medicine. Human Mutation 33(5):777–780.

Sanfilippo, F., N. Bendapudi, A. Rucci, and L. Schlesinger. 2008. Strong leadership and teamwork drive culture and performance change: Ohio State University Medical Center, 2000–2006. Academic Medicine 83(9):845–854.

Starren, J., M. S. Williams, and E. P. Bottinger. 2013. Crossing the omic chasm: A time for omic ancillary systems. JAMA 309(12):1237–1238.

Steinberg, G. B., B. W. Church, C. J. McCall, A. B. Scott, and B. P. Kalis. 2014. Novel predictive models for metabolic syndrome risk: A “big data” analytic approach. American Journal of Managed Care 20(6):e221–e228.

Terry, S. F., R. Shelton, G. Biggers, D. Baker, and K. Edwards. 2013. The haystack is made of needles. Genetic Testing and Molecular Biomarkers 17(3):175–177.

Toh, S., M. E. Reichman, M. Houstoun, M. Ross Southworth, X. Ding, A. F. Hernandez, M. Levenson, L. Li, C. McCloskey, A. Shoaibi, E. Wu, G. Zornberg, and S. Hennessy. 2012. Comparative risk for angioedema associated with the use of drugs that target the renin-angiotensin-aldosterone system. Archives of Internal Medicine 172(20):1582–1589.

Wall, J. D., L. F. Tang, B. Zerbe, M. N. Kvale, P. Y. Kwok, C. Schaefer, and N. Risch. 2014. Estimating genotype error rates from high-coverage next-generation sequence data. Genome Research 24(11):1734–1739.

Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
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Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
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Page 61
Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
×
Page 62
Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
×
Page 63
Suggested Citation:"References." Institute of Medicine. 2015. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/21707.
×
Page 64
Next: Appendix A: Workshop Agenda »
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 Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary
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The inclusion of genomic data in a knowledge-generating health care system infrastructure is one promising way to harness the full potential of that information to provide better patient care. In such a system, clinical practice and research influence each other with the goal of improving the efficiency and effectiveness of disease prevention, diagnosis, and treatment. To examine pragmatic approaches to incorporating genomics in learning health care systems, the Institute of Medicine Roundtable on Translating Genomic-Based Research for Health hosted a workshop which convened a variety of stakeholder groups, including commercial developers, health information technology professionals, clinical providers, academic researchers, patient groups, and government and health system representatives, to present their perspectives and participate in discussions on maximizing the value that can be obtained from genomic information. The workshop examined how a variety of systems are capturing and making use of genomic data to generate knowledge for advancing health care in the 21st century. It also sought to evaluate the challenges, opportunities, and best practices for capturing or using genomic information in knowledge-generating health care systems. Genomics-Enabled Learning Health Care Systems summarizes the presentations and discussion of the workshop.

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