Multidisciplinary model to implement pharmacogenomics at the point of care
Despite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model. The development and implementation of PGx were organized into eight interdependent co...
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| Published in: | Genetics in medicine Vol. 19; no. 4; pp. 421 - 429 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Inc
01.04.2017
Nature Publishing Group US Elsevier Limited |
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| ISSN: | 1098-3600, 1530-0366 |
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| Abstract | Despite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model.
The development and implementation of PGx were organized into eight interdependent components addressing resources, governance, clinical practice, education, testing, knowledge translation, clinical decision support (CDS), and maintenance. Several aspects of implementation were assessed, including adherence to the model, production of PGx-CDS interventions, and access to educational resources.
Between August 2012 and June 2015, 21 specific drug–gene interactions were reviewed and 18 of them were implemented in the electronic medical record as PGx-CDS interventions. There was complete adherence to the model with variable production time (98–392 days) and delay time (0–148 days). The implementation impacted approximately 1,247 unique providers and 3,788 unique patients. A total of 11 educational resources complementary to the drug–gene interactions and 5 modules specific for pharmacists were developed and implemented.
A comprehensive operational model can support PGx implementation in routine prescribing. Institutions can use this model as a roadmap to support similar efforts. However, we also identified challenges that will require major multidisciplinary and multi-institutional efforts to make PGx a universal reality.
Genet Med19 4, 421–429. |
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| AbstractList | Purpose:Despite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model.Methods:The development and implementation of PGx were organized into eight interdependent components addressing resources, governance, clinical practice, education, testing, knowledge translation, clinical decision support (CDS), and maintenance. Several aspects of implementation were assessed, including adherence to the model, production of PGx-CDS interventions, and access to educational resources.Results:Between August 2012 and June 2015, 21 specific drug-gene interactions were reviewed and 18 of them were implemented in the electronic medical record as PGx-CDS interventions. There was complete adherence to the model with variable production time (98-392 days) and delay time (0-148 days). The implementation impacted approximately 1,247 unique providers and 3,788 unique patients. A total of 11 educational resources complementary to the drug-gene interactions and 5 modules specific for pharmacists were developed and implemented.Conclusion:A comprehensive operational model can support PGx implementation in routine prescribing. Institutions can use this model as a roadmap to support similar efforts. However, we also identified challenges that will require major multidisciplinary and multi-institutional efforts to make PGx a universal reality.Genet Med 19 4, 421-429. Despite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model. The development and implementation of PGx were organized into eight interdependent components addressing resources, governance, clinical practice, education, testing, knowledge translation, clinical decision support (CDS), and maintenance. Several aspects of implementation were assessed, including adherence to the model, production of PGx-CDS interventions, and access to educational resources. Between August 2012 and June 2015, 21 specific drug-gene interactions were reviewed and 18 of them were implemented in the electronic medical record as PGx-CDS interventions. There was complete adherence to the model with variable production time (98-392 days) and delay time (0-148 days). The implementation impacted approximately 1,247 unique providers and 3,788 unique patients. A total of 11 educational resources complementary to the drug-gene interactions and 5 modules specific for pharmacists were developed and implemented. A comprehensive operational model can support PGx implementation in routine prescribing. Institutions can use this model as a roadmap to support similar efforts. However, we also identified challenges that will require major multidisciplinary and multi-institutional efforts to make PGx a universal reality.Genet Med 19 4, 421-429. PURPOSEDespite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model.METHODSThe development and implementation of PGx were organized into eight interdependent components addressing resources, governance, clinical practice, education, testing, knowledge translation, clinical decision support (CDS), and maintenance. Several aspects of implementation were assessed, including adherence to the model, production of PGx-CDS interventions, and access to educational resources.RESULTSBetween August 2012 and June 2015, 21 specific drug-gene interactions were reviewed and 18 of them were implemented in the electronic medical record as PGx-CDS interventions. There was complete adherence to the model with variable production time (98-392 days) and delay time (0-148 days). The implementation impacted approximately 1,247 unique providers and 3,788 unique patients. A total of 11 educational resources complementary to the drug-gene interactions and 5 modules specific for pharmacists were developed and implemented.CONCLUSIONA comprehensive operational model can support PGx implementation in routine prescribing. Institutions can use this model as a roadmap to support similar efforts. However, we also identified challenges that will require major multidisciplinary and multi-institutional efforts to make PGx a universal reality.Genet Med 19 4, 421-429. Purpose: Despite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model. Methods: The development and implementation of PGx were organized into eight interdependent components addressing resources, governance, clinical practice, education, testing, knowledge translation, clinical decision support (CDS), and maintenance. Several aspects of implementation were assessed, including adherence to the model, production of PGx-CDS interventions, and access to educational resources. Results: Between August 2012 and June 2015, 21 specific drug–gene interactions were reviewed and 18 of them were implemented in the electronic medical record as PGx-CDS interventions. There was complete adherence to the model with variable production time (98–392 days) and delay time (0–148 days). The implementation impacted approximately 1,247 unique providers and 3,788 unique patients. A total of 11 educational resources complementary to the drug–gene interactions and 5 modules specific for pharmacists were developed and implemented. Conclusion: A comprehensive operational model can support PGx implementation in routine prescribing. Institutions can use this model as a roadmap to support similar efforts. However, we also identified challenges that will require major multidisciplinary and multi-institutional efforts to make PGx a universal reality. Genet Med 19 4, 421–429. Despite potential clinical benefits, implementation of pharmacogenomics (PGx) faces many technical and clinical challenges. These challenges can be overcome with a comprehensive and systematic implementation model. The development and implementation of PGx were organized into eight interdependent components addressing resources, governance, clinical practice, education, testing, knowledge translation, clinical decision support (CDS), and maintenance. Several aspects of implementation were assessed, including adherence to the model, production of PGx-CDS interventions, and access to educational resources. Between August 2012 and June 2015, 21 specific drug–gene interactions were reviewed and 18 of them were implemented in the electronic medical record as PGx-CDS interventions. There was complete adherence to the model with variable production time (98–392 days) and delay time (0–148 days). The implementation impacted approximately 1,247 unique providers and 3,788 unique patients. A total of 11 educational resources complementary to the drug–gene interactions and 5 modules specific for pharmacists were developed and implemented. A comprehensive operational model can support PGx implementation in routine prescribing. Institutions can use this model as a roadmap to support similar efforts. However, we also identified challenges that will require major multidisciplinary and multi-institutional efforts to make PGx a universal reality. Genet Med19 4, 421–429. |
| Author | Olson, Janet E. Nicholson, Wayne T. Weinshilboum, Richard M. Hodge, Lucy S. Roger, Veronique L. St. Sauver, Jennifer L. Stewart, A. Keith Bielinski, Suzette J. Rohrer-Vitek, Carolyn R. Parkulo, Mark A. Farrugia, Gianrico Black, John L. Elliott, Michelle A. Schultz, Cloann G. Caraballo, Pedro J. Kullo, Iftikhar J. |
| AuthorAffiliation | 4 Department of Health Sciences Research, Mayo Clinic, USA 10 Department of Laboratory Medicine and Pathology, Mayo Clinic, USA 5 Kern Center for the Science of Health Care Delivery, Mayo Clinic, USA 1 Division of General Internal Medicine, Mayo Clinic, USA 2 Office of Information and Knowledge Management, Mayo Clinic, USA 3 Center for Individualized Medicine, Mayo Clinic, USA 8 Department of Anesthesiology, Mayo Clinic, USA 11 Departments of Molecular Pharmacology and Experimental Therapeutics & Medicine, Mayo Clinic, USA 6 Division of Community Internal Medicine, Mayo Clinic, USA 9 Division of Hematology, Mayo Clinic, USA 7 Division of Cardiovascular Diseases, Mayo Clinic, USA |
| AuthorAffiliation_xml | – name: 7 Division of Cardiovascular Diseases, Mayo Clinic, USA – name: 8 Department of Anesthesiology, Mayo Clinic, USA – name: 4 Department of Health Sciences Research, Mayo Clinic, USA – name: 11 Departments of Molecular Pharmacology and Experimental Therapeutics & Medicine, Mayo Clinic, USA – name: 5 Kern Center for the Science of Health Care Delivery, Mayo Clinic, USA – name: 2 Office of Information and Knowledge Management, Mayo Clinic, USA – name: 9 Division of Hematology, Mayo Clinic, USA – name: 3 Center for Individualized Medicine, Mayo Clinic, USA – name: 1 Division of General Internal Medicine, Mayo Clinic, USA – name: 10 Department of Laboratory Medicine and Pathology, Mayo Clinic, USA – name: 6 Division of Community Internal Medicine, Mayo Clinic, USA |
| Author_xml | – sequence: 1 givenname: Pedro J. surname: Caraballo fullname: Caraballo, Pedro J. email: caraballo.pedro@mayo.edu organization: Division of General Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA – sequence: 2 givenname: Lucy S. surname: Hodge fullname: Hodge, Lucy S. organization: Center for Individualized Medicine, Rochester, Minnesota, USA – sequence: 3 givenname: Suzette J. surname: Bielinski fullname: Bielinski, Suzette J. organization: Department of Health Sciences Research, Rochester, Minnesota, USA – sequence: 4 givenname: A. Keith surname: Stewart fullname: Stewart, A. Keith organization: Center for Individualized Medicine, Rochester, Minnesota, USA – sequence: 5 givenname: Gianrico surname: Farrugia fullname: Farrugia, Gianrico organization: Center for Individualized Medicine, Rochester, Minnesota, USA – sequence: 6 givenname: Cloann G. surname: Schultz fullname: Schultz, Cloann G. organization: Center for Individualized Medicine, Rochester, Minnesota, USA – sequence: 7 givenname: Carolyn R. surname: Rohrer-Vitek fullname: Rohrer-Vitek, Carolyn R. organization: Center for Individualized Medicine, Rochester, Minnesota, USA – sequence: 8 givenname: Janet E. surname: Olson fullname: Olson, Janet E. organization: Department of Health Sciences Research, Rochester, Minnesota, USA – sequence: 9 givenname: Jennifer L. surname: St. Sauver fullname: St. Sauver, Jennifer L. organization: Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA – sequence: 10 givenname: Veronique L. surname: Roger fullname: Roger, Veronique L. organization: Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA – sequence: 11 givenname: Mark A. surname: Parkulo fullname: Parkulo, Mark A. organization: Office of Information and Knowledge Management, Rochester, Minnesota, USA – sequence: 12 givenname: Iftikhar J. surname: Kullo fullname: Kullo, Iftikhar J. organization: Division of Cardiovascular Diseases, Rochester, Minnesota, USA – sequence: 13 givenname: Wayne T. surname: Nicholson fullname: Nicholson, Wayne T. organization: Department of Anesthesiology, Rochester, Minnesota, USA – sequence: 14 givenname: Michelle A. surname: Elliott fullname: Elliott, Michelle A. organization: Division of Hematology, Rochester, Minnesota, USA – sequence: 15 givenname: John L. surname: Black fullname: Black, John L. organization: Department of Laboratory Medicine and Pathology, Rochester, Minnesota, USA – sequence: 16 givenname: Richard M. surname: Weinshilboum fullname: Weinshilboum, Richard M. organization: Department of Molecular Pharmacology and Experimental Therapeutics, Rochester, Minnesota, USA |
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| Copyright | 2017 The Author(s) American College of Medical Genetics and Genomics 2017 Copyright Nature Publishing Group Apr 2017 |
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| Title | Multidisciplinary model to implement pharmacogenomics at the point of care |
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