Clinical Decision Support for Pharmacogenomic Precision Medicine

Foundations and Implementation

Häftad, Engelska, 2022

Av Beth Devine, Richard David Boyce, Kristin Wiisanen, USA) Devine, Beth (Research Assistant Professor; The Comparative Health Outcomes, Policy and Economics (CHOICE) Institute; Formerly Pharmaceutical, Outcomes Research and Policy Program (PORPP), Department of Pharmacy, University of Washington, USA) Boyce, Richard David (Assistant Professor of Biomedical Informatics in the University of Pittsburgh School of Medicine, PA

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Clinical Decision Support for Pharmacogenomic Precision Medicine: Foundations and Implementation offers overviews, methods and strategies for translating genomic medicine to clinical practice. The book's authors explore incorporating pharmacogenetics into electronic health records, CDS methods and infrastructure for delivery, economic evaluation, the hospital administrations' role and needs in integration, and patient counseling aspects. The book empowers clinicians, researchers, translational scientists, and data and IT experts to effectively navigate the complex landscape of CDS for pharmacogenomic precision medicine. Illustrative case studies of existing gene networks include CSER, eMERGE, the IGNITE network, DIGITIZE, the CDS Learning Network (RTI), ClinGen, Ubiquitous and CDS Hooks.

Offers an applied, case-driven discussion of CDS for pharmacogenomic precision medicine
Illustrates key concepts, contemporary developments, and future directions using examples of existing gene networks
Features contributions from leading voices in precision medicine and clinical decision support

Produktinformation

Utgivningsdatum2022-06-20
Mått152 x 229 x 22 mm
Vikt480 g
FormatHäftad
SpråkEngelska
Antal sidor296
FörlagElsevier Science
ISBN9780128244531

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik

Beth Devine is Research Assistant Professor in The Comparative Health Outcomes, Policy and Economics (CHOICE) Institute; Formerly Pharmaceutical, Outcomes Research and Policy Program (PORPP), Department of Pharmacy, University of Washington, USA. Dr. Richard D. Boyce is an Assistant Professor of Biomedical Informatics in the University of Pittsburgh School of Medicine. His research studies the use of informatics and pharmacoepidemiology to support safe and effective medication therapy for older adults. He has published more than a dozen peer-reviewed papers including a systematic review of the effectiveness of antidepressants for nursing home residents, a review of pharmacokinetic drug interactions affecting antidepressants, a study concordance between various sources of psychotropic drug-drug interaction information, and a pilot study of an innovation to enhance drug product label information on drug safety, efficacy. His current research studies active monitoring interventions for patient exposed to drug-drug interactions in the nursing home, and a how to best present clinical pharmacogenomics statements to clinicians and patients.

SECTION 1 Foundations of Clinical Decision Support and Pharmacogenomic Precision Medicine1. Overview of Effective Pharmacogenomic Clinical Decision Support2. Scientific Evidence and Sources of Knowledge for Pharmacogenomics3. Laboratory Considerations for Pharmacogenomic Clinical Decision Support4. Ensuring Equity and Access to Pharmacogenomic Clinical Decision SupportSECTION 2 Developing and Building Clinical Decision Support for Pharmacogenomic Precision Medicine5. Clinical Decision Support Methods and Infrastructure6. Deep Phenotyping and Machine Learning to Target Drug Therapies7. Usability and Human-Centered Design8. Clinical Considerations for Clinical Decision SupportSECTION 3 Adoption and Delivery of Clinical Decision Support for Pharmacogenomic Precision Medicine9. Patient-Facing Clinical Decision Support for Pharmacogenomic Precision Medicine10. Role of the Genetic Counselor in Pharmacogenomic Precision Medicine11. A Learning Health System Approach to Delivery and Adoption of Clinical Decision Support12. Integration of Clinical Decision Support Infrastructure and Translating into Real-World Applications