作者: Steve Olson , Adam C. Berger
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摘要: The sequencing of the human genome and identification links between specific genetic variants diseases have led to tremendous excitement over potential genomics direct patient treatment toward more effective or less harmful interventions. Still, use whole challenges traditional model medical care where a test is ordered only when there clear indication for its path downstream clinical action known. This has created tension experts who contend that using this information premature those believe having such will empower health providers patients make proactive decisions regarding lifestyle options. In addition, some stakeholders are concerned genomic technologies add costs system without providing commensurate benefits, others think could be reduced by identifying unnecessary ineffective treatments. Economic models frequently used anticipate benefits new technologies, policies, regulations. studies also been examine much issues, as comparing outcomes cost effectiveness two different drug treatments same condition. These kinds analyses offer than just predictions future costs. They provide valuable implementing technologies. Unfortunately, however, these economic assessments often limited lack data on which base examination. particularly affects economics, includes many factors current methods inadequate assessing, personal utility, social preference. To understand better issues may arise in course integrating into care, Roundtable Translating Genomic-Based Research Health hosted workshop Washington, DC, July 17-18, 2012, brought together economists, regulators, payers, biomedical researchers, patients, providers, other discuss influence implementation. was one series roundtable held topic, but it first focused specifically issues. Economics Genomic Medicine summarizes workshop.