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      Barriers to clinical adoption of next generation sequencing: Perspectives of a policy Delphi panel

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          Abstract

          This research aims to inform policymakers by engaging expert stakeholders to identify, prioritize, and deliberate the most important and tractable policy barriers to the clinical adoption of next generation sequencing (NGS). A 4-round Delphi policy study was done with a multi-stakeholder panel of 48 experts. The first 2 rounds of online questionnaires (reported here) assessed the importance and tractability of 28 potential barriers to clinical adoption of NGS across 3 major policy domains: intellectual property, coverage and reimbursement, and FDA regulation. We found that: 1) proprietary variant databases are seen as a key challenge, and a potentially intractable one; 2) payer policies were seen as a frequent barrier, especially a perceived inconsistency in standards for coverage; 3) relative to other challenges considered, FDA regulation was not strongly perceived as a barrier to clinical use of NGS. Overall the results indicate a perceived need for policies to promote data-sharing, and a desire for consistent payer coverage policies that maintain reasonably high standards of evidence for clinical utility, limit testing to that needed for clinical care decisions, and yet also flexibly allow for clinician discretion to use genomic testing in uncertain circumstances of high medical need.

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          Most cited references23

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          Optum Labs: building a novel node in the learning health care system.

          Unprecedented change in the US health care system is being driven by the rapid uptake of health information technology and national investments in multi-institution research networks comprising academic centers, health care delivery systems, and other health system components. An example of this changing landscape is Optum Labs, a novel network "node" that is bringing together new partners, data, and analytic techniques to implement research findings in health care practice. Optum Labs was founded in early 2013 by Mayo Clinic and Optum, a commercial data, infrastructure services, and care organization that is part of UnitedHealth Group. Optum Labs now has eleven collaborators and a database of deidentified information on more than 150 million people that is compliant with the Health Insurance Portability and Accountability Act (HIPAA) of 1996. This article describes the early progress of Optum Labs. The combination of the diverse collaborator perspectives with rich data, including deep patient and provider information, is intended to reveal new insights about diseases, treatments, and patients' behavior to guide changes in practice. Practitioners' involvement in agenda setting and translation of findings into practical care innovations accelerates the implementation of research results. Furthermore, feedback loops from the clinic help Optum Labs expand on successes and give quick attention to challenges as they emerge.
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            Personalized medicine: progress and promise.

            Personalized medicine is a broad and rapidly advancing field of health care that is informed by each person's unique clinical, genetic, genomic, and environmental information. Personalized medicine depends on multidisciplinary health care teams and integrated technologies (e.g., clinical decision support) to utilize our molecular understanding of disease in order to optimize preventive health care strategies. Human genome information now allows providers to create optimized care plans at every stage of a disease, shifting the focus from reactive to preventive health care. The further integration of personalized medicine into the clinical workflow requires overcoming several barriers in education, accessibility, regulation, and reimbursement. This review focuses on providing a comprehensive understanding of personalized medicine, from scientific discovery at the laboratory bench to integration of these novel ways of understanding human biology at the bedside.
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              Clinical utility of genetic and genomic services: a position statement of the American College of Medical Genetics and Genomics.

              (2015)
              These recommendations are designed primarily as an educational resource for medical geneticists and other health-care providers to help them provide quality medical genetics services. Adherence to these recommendations does not necessarily ensure a successful medical outcome. These recommendations should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. In determining the propriety of any specific procedure or test, geneticists and other clinicians should apply their own professional judgment to the specific clinical circumstances presented by the individual patient or specimen. It may be prudent, however, to document in the patient's record the rationale for any significant deviation from these recommendations.
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                Author and article information

                Contributors
                Journal
                Appl Transl Genom
                Appl Transl Genom
                Applied & Translational Genomics
                Elsevier
                2212-0661
                25 May 2016
                September 2016
                25 May 2016
                : 10
                : 19-24
                Affiliations
                [a ]Center for Medical Technology Policy, 401 East Pratt Street, Suite 631, Baltimore, MD 21207, USA
                [b ]Duke University, Box 90239, Durham, NC 27708, USA
                [c ]Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
                [d ]Johns Hopkins Berman Institute of Bioethics, 1809 Ashland Avenue, Baltimore, MD 21205, USA
                [e ]American Institutes for Research, 1000 Thomas Jefferson Street NW, Washington, DC 20007, USA
                [f ]Duke Global Health Institute, Durham, NC 27710, United States
                Author notes
                [* ]Corresponding author at: Center for Medical Technology Policy, World Trade Center Baltimore, 401 East Pratt Street, Suite 631, Baltimore, MD 21202, United States.Center for Medical Technology PolicyWorld Trade Center Baltimore401 East Pratt Street, Suite 631BaltimoreMD21202United States donna.messner@ 123456cmtpnet.org
                Article
                S2212-0661(16)30017-5
                10.1016/j.atg.2016.05.004
                5025465
                27668172
                3f74275d-5ca8-4fa3-ab9e-84a0a7dcac7a
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 24 February 2016
                : 10 May 2016
                : 23 May 2016
                Categories
                Article

                next generation sequencing,coverage and reimbursement,fda regulation,intellectual property,personalized medicine,clinical genomics

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