Saltar al contenido principal
Elsevier

Clinical Decision Support for Pharmacogenomic Precision Medicine

Foundations and Implementation

  • 1 Edición - 14 de junio de 2022
  • Última edición
  • Editores: Beth Devine, Richard David Boyce, Kristin Wiisanen
  • Idioma: Inglés

Clinical Decision Support for Pharmacogenomic Precision Medicine: Foundations and Implementation offers overviews, methods and strategies for translating genomic medicine to clinic… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

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

Índice

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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 14 de junio de 2022
  • Idioma: Inglés

Sobre los editores

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.
Afiliaciones y experiencia
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

RB

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.
Afiliaciones y experiencia
Assistant Professor of Biomedical Informatics in the University of Pittsburgh School of Medicine, PA, USA

Ver libro en ScienceDirect

Lee Clinical Decision Support for Pharmacogenomic Precision Medicine en ScienceDirect