LEADER 03684nam  2200601 a 450 
001 9910974461903321
005 20251017110115.0
010   $a0-309-21107-7
010   $a1-283-21343-5
010   $a9786613213433
010   $a0-309-21105-0
035   $a(CKB)2550000000042938
035   $a(EBL)3378803
035   $a(MiAaPQ)EBC3378803
035   $a(Au-PeEL)EBL3378803
035   $a(CaPaEBR)ebr10488624
035   $a(CaONFJC)MIL321343
035   $a(OCoLC)923283637
035   $a(DNLM)1568301
035   $a(EXLCZ)992550000000042938
100   $a20110827d2011      uy         0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGenerating evidence for genomic diagnostic test development $eworkshop Summary /$fTheresa Wizemann and Adam C. Berger, rapporteurs ; Roundtable on translating Genomic-Based Research for Health, Board on Health Sciences Policy, Institute of Medicine of the National Academies
205   $a1st ed.
210   $aWashington, D.C. $cNational Academies Press$d2011
215   $a1 online resource (100 p.)
300   $aDescription based upon print version of record.
311 08$a0-309-21104-2 
320   $aIncludes bibliographical references.
327   $a""Front Matter""; ""Reviewers""; ""Acknowledgments""; ""Contents""; ""Tables, Figures, and Boxes""; ""Abbreviations and Acronyms""; ""1 Introduction""; ""2 Stakeholder Perspectives on Evidence""; ""3 Approaches to Evidence Generation""; ""4 Overcoming Barriers for Evidence Generation""; ""5 Considerations Moving Forward""; ""6 Final Remarks""; ""References""; ""Appendix A: Workshop Agenda""; ""Appendix B: Speaker Biographical Sketches""; ""Appendix C: Registered Attendees""
330   $a"Ten years after the sequencing of the human genome, scientists have developed genetic tests that can predict a person's response to certain drugs, estimate the risk of developing Alzheimer's disease, and make other predictions based on known links between genes and diseases. However, genetic tests have yet to become a routine part of medical care, in part because there is not enough evidence to show they help improve patients' health.The Institute of Medicine (IOM) held a workshop to explore how researchers can gather better evidence more efficiently on the clinical utility of genetic tests. Generating Evidence for Genomic Diagnostic Test Development compares the evidence that is required for decisions regarding clearance, use, and reimbursement, to the evidence that is currently generated. The report also addresses innovative and efficient ways to generate high-quality evidence, as well as barriers to generating this evidence. Generating Evidence for Genomic Diagnostic Test Development contains information that will be of great value to regulators and policymakers, payers, health-care providers, researchers, funders, and evidence-based review groups."--Publisher's description.
606   $aGenomics
606   $aDiagnosis
606   $aGene mapping
615  0$aGenomics.
615  0$aDiagnosis.
615  0$aGene mapping.
676   $a616.0420027
701   $aWizemann$b Theresa M$0890630
701   $aBerger$b Adam C$01120088
712 02$aInstitute of Medicine (U.S.).$bRoundtable on Translating Genomic-Based Research for Health.
712 02$aInstitute of Medicine (U.S.).$bBoard on Health Sciences Policy.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910974461903321
996   $aGenerating evidence for genomic diagnostic test development$94447104
997   $aUNINA