Clinical Decision Support for Pharmacogenomic Precision Medicine
Foundations and Implementation
- 1st Edition - June 14, 2022
- Imprint: Academic Press
- Editors: Beth Devine, Richard David Boyce, Kristin Wiisanen
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 4 4 5 3 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 4 5 4 - 8
Clinical Decision Support for Pharmacogenomic Precision Medicine: Foundations and Implementation offers overviews, methods and strategies for translating genomic medicine to clinic… Read more
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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
Active researchers, basic and translational scientists, and IT professionals in the areas of human genomics, bioinformatics, pharmacology, prenatal testing, and electronic healthcare records; genetic counselors; hospital administrators, clinicians and students of life science, genetics, and medicine
SECTION 1 Foundations of Clinical Decision Support and Pharmacogenomic Precision Medicine
1. Overview of Effective Pharmacogenomic Clinical Decision Support
2. Scientific Evidence and Sources of Knowledge for Pharmacogenomics
3. Laboratory Considerations for Pharmacogenomic Clinical Decision Support
4. Ensuring Equity and Access to Pharmacogenomic Clinical Decision Support
SECTION 2 Developing and Building Clinical Decision Support for Pharmacogenomic Precision Medicine
5. Clinical Decision Support Methods and Infrastructure
6. Deep Phenotyping and Machine Learning to Target Drug Therapies
7. Usability and Human-Centered Design
8. Clinical Considerations for Clinical Decision Support
SECTION 3 Adoption and Delivery of Clinical Decision Support for Pharmacogenomic Precision Medicine
9. Patient-Facing Clinical Decision Support for Pharmacogenomic Precision Medicine
10. Role of the Genetic Counselor in Pharmacogenomic Precision Medicine
11. A Learning Health System Approach to Delivery and Adoption of Clinical Decision Support
12. Integration of Clinical Decision Support Infrastructure and Translating into Real-World Applications
- Edition: 1
- Published: June 14, 2022
- Imprint: Academic Press
- Language: English
BD
Beth Devine
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.
Affiliations and expertise
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, USARB
Richard David Boyce
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.
Affiliations and expertise
Assistant Professor of Biomedical Informatics in the University of Pittsburgh School of Medicine, PA, USARead Clinical Decision Support for Pharmacogenomic Precision Medicine on ScienceDirect