Electronic Medical Records and Genomics: Possibilities, Realities, Ethical Issues to Consider
|
|
|
- Emory Morgan
- 10 years ago
- Views:
Transcription
1 Electronic Medical Records and Genomics: Possibilities, Realities, Ethical Issues to Consider Daniel Masys, M.D. Affiliate Professor Biomedical and Health Informatics University of Washington, Seattle
2 Possibilities: the world of personalized health and healthcare
3 The Human Genome Project: Draft sequence completed 2000 $3,000,000, years
4 The Vision Molecular and clinical biomarkers for health conditions individuals either have or are susceptible to Includes traditional healthcare history, physical findings, diagnostic imaging, standard clinical laboratories Increasingly: large volumes of molecular data Structural genomics: DNA in residence (~22,000 genes) Functional genomics: genes switched on (1 2% active) Proteomics (400,000 proteins from 22,000 genes)
5 The Vision, cont d Pharmacogenomics The right dose of the right drug for the right patient at the right time Drug development: Avoid drugs likely to cause side effects Re investigate backburner drugs Develop entirely new drugs targeting fundamental disease processes "Here's my sequence... New Yorker, 2000
6 The Genome Sequence is at hand so? The good news is that we have the human genome. The bad news is it s just a parts list
7
8 Realities 2012 Electronic Medical Records have already proven themselves to be a essential bidirectional channel for DNA enabled healthcare and for advancing health sciences
9 Example of current operational genomic EMR system: Vanderbilt PREDICT project Pharmacogenomic Resource for Enhanced Decisions In Care and Treatment. Go live date: September 2010 literature Guidance: Professional societies, FDA Replicate DNA association effect in local biobank Evidence review by P&T subcommittee implementation Prospective Genotyping: (e.g. Illumina ADME panel) Drug genotype pair in EMR Other genotypes outside EMR Point of care decision support Follow outcomes Is dose changed? Are outcomes affected? What do patients think?
10 As seen by providers at the moment of prescribing:
11 Electronic Medical Record genomic data as viewed by providers
12 Genomic data as viewed by patients
13
14 EMR data is advancing genomic health science: PheWAS: PHEnome Wide Association Studies GWAS: pick a phenotype interrogate the set of all genetic polymorphisms for association PheWAS: pick a genotype interrogate the set of all phenotypes (diseases) as recorded in EMR rs log(p-value) Prostatitis Crohn's disease
15 Alzheimer s Carotid artery disease Statin related myopathy Low HDL Cataracts Type II diabetes Asthma Group Health and UW, Seattle Mayo Clinic Marshfield Clinic Northwestern Geisinger Mt. Sinai Vanderbilt Myocardial infarction Peripheral vascular disease Coordinating center QRS duration
16 Realities of 2012 Our ability to acquire person specific DNA data far exceeds our understanding of its meaning Genetic data conclusively explains the basis for only a tiny set of the diseases of humans and responses to therapy As a result DNA data acquired now will likely need to be re interpreted many times over in the future as DNA science unfolds
17 General observations about clinical genomics Genomic data is the current poster child for complexity in healthcare No practitioner can absorb and remember more than a tiny fraction of the knowledge base of human variation Therefore, computerized clinical decision support is the only effective way to insert genomic variation based guidance into clinical care
18 Current state of EMR and decision support infrastructure Only 1.5% of US hospitals have full adoption of a comprehensive EMR* Only 17% of hospitals have computerized provider order entry (point for decision support alerts and reminders)* *Jha AK, Blumenthal D, et al. N Engl J Med Apr 16;360(16):
19 Issues to consider 1. Is it ethical to allow healthcare providers to continue to practice without a systems infrastructure for decision support?
20 The Need for Computerized Patient Specific Decision Support Facts per Decision Proteomics and other effector molecules Functional Genetics: Gene expression profiles Decisions by clinical phenotype i.e., traditional health care 10 Structural Genetics: e.g. SNPs, haplotypes Human Cognitive Capacity
21 Issues to consider 1. Is it ethical to allow healthcare providers to continue to practice without a systems infrastructure for decision support? 2. Is it ethical to discard person specific DNA data that currently has uncertain or unknown significance?
22 Most common current method for delivery of genotyping into clinical operations (discards DNA data obtained that has no demonstrated clinical relevance)
23 Issues to consider 1. Is it ethical to allow healthcare providers to continue to practice without a systems infrastructure for decision support? 2. Is it ethical to discard person specific DNA data that currently has uncertain or unknown significance? 3. How does genomic consent differ from standard consent for healthcare services?
24 How do terms of consent change When a person lacks basic genetic health literacy? When a health condition does not currently exist but may in the future? Treatable vs. (currently) non treatable conditions When a health condition has implications only for one s offspring, not self And the literacy and health preferences of one s heirs is different than one s own For incidental findings vs. disease specific testing?
Genomics and Health Data Standards: Lessons from the Past and Present for a Genome-enabled Future
Genomics and Health Data Standards: Lessons from the Past and Present for a Genome-enabled Future Daniel Masys, MD Professor and Chair Department of Biomedical Informatics Professor of Medicine Vanderbilt
Integration of genomic data into electronic health records
Integration of genomic data into electronic health records Daniel Masys, MD Affiliate Professor Biomedical & Health Informatics University of Washington, Seattle Major portion of today s lecture is based
Outcome Data, Links to Electronic Medical Records. Dan Roden Vanderbilt University
Outcome Data, Links to Electronic Medical Records Dan Roden Vanderbilt University Coordinating Center Type II Diabetes Case Algorithm * Abnormal lab= Random glucose > 200mg/dl, Fasting glucose > 125 mg/dl,
Technical Issues in Aggregating and Analyzing Data from Heterogeneous EHR Systems
Technical Issues in Aggregating and Analyzing Data from Heterogeneous EHR Systems Josh Denny, MD, MS [email protected] Vanderbilt University, Nashville, Tennessee, USA 2/12/2015 EHR data are dense
Genomic Testing: Actionability, Validation, and Standard of Lab Reports
Genomic Testing: Actionability, Validation, and Standard of Lab Reports emerge: Laura Rasmussen-Torvik Reaction: Heidi Rehm Summary: Dick Weinshilboum Panel: Murray Brilliant, David Carey, John Carpten,
Introduction to genetic testing and pharmacogenomics
Introduction to genetic testing and pharmacogenomics Cecile Janssens Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands ([email protected]) Genetic prediction of monogenic diseases
INTERNATIONAL CONFERENCE ON HARMONISATION OF TECHNICAL REQUIREMENTS FOR REGISTRATION OF PHARMACEUTICALS FOR HUMAN USE E15
INTERNATIONAL CONFERENCE ON HARMONISATION OF TECHNICAL REQUIREMENTS FOR REGISTRATION OF PHARMACEUTICALS FOR HUMAN USE ICH HARMONISED TRIPARTITE GUIDELINE DEFINITIONS FOR GENOMIC BIOMARKERS, PHARMACOGENOMICS,
IMPLEMENTING BIG DATA IN TODAY S HEALTH CARE PRAXIS: A CONUNDRUM TO PATIENTS, CAREGIVERS AND OTHER STAKEHOLDERS - WHAT IS THE VALUE AND WHO PAYS
IMPLEMENTING BIG DATA IN TODAY S HEALTH CARE PRAXIS: A CONUNDRUM TO PATIENTS, CAREGIVERS AND OTHER STAKEHOLDERS - WHAT IS THE VALUE AND WHO PAYS 29 OCTOBER 2015 DR. DIRK J. EVERS BACKGROUND TreatmentMAP
SAP Healthcare Analytics Solutions Provide physicians and researchers access to patient data from various systems in realtime
SAP Healthcare Analytics Solutions Provide physicians and researchers access to patient data from various systems in realtime Stephan Schindewolf, SAP SE, July 13, 2015 Facts per Decision Need Decision
The Future of the Electronic Health Record. Gerry Higgins, Ph.D., Johns Hopkins
The Future of the Electronic Health Record Gerry Higgins, Ph.D., Johns Hopkins Topics to be covered Near Term Opportunities: Commercial, Usability, Unification of different applications. OMICS : The patient
Big Data for Population Health and Personalised Medicine through EMR Linkages
Big Data for Population Health and Personalised Medicine through EMR Linkages Zheng-Ming CHEN Professor of Epidemiology Nuffield Dept. of Population Health, University of Oxford Big Data for Health Policy
How Can Institutions Foster OMICS Research While Protecting Patients?
IOM Workshop on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials How Can Institutions Foster OMICS Research While Protecting Patients? E. Albert Reece, MD, PhD, MBA Vice
Big Data for Population Health
Big Data for Population Health Prof Martin Landray Nuffield Department of Population Health Deputy Director, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery University of Oxford
Research Skills for Non-Researchers: Using Electronic Health Data and Other Existing Data Resources
Research Skills for Non-Researchers: Using Electronic Health Data and Other Existing Data Resources James Floyd, MD, MS Sep 17, 2015 UW Hospital Medicine Faculty Development Program Objectives Become more
Implementation of Pharmacogenomics in Clinical Practice: Barriers and Potential Solutions
Molecular Pathology : Principles in Clinical Practice Implementation of Pharmacogenomics in Clinical Practice: Barriers and Potential Solutions KT Jerry Yeo, Ph.D. University of Chicago Email: [email protected]
The National Institute of Genomic Medicine (INMEGEN) was
Genome is...... the complete set of genetic information contained within all of the chromosomes of an organism. It defines the particular phenotype of an individual. What is Genomics? The study of the
An EVIDENCE-ENHANCED HEALTHCARE ECOSYSTEM for Cancer: I/T perspectives
An EVIDENCE-ENHANCED HEALTHCARE ECOSYSTEM for Cancer: I/T perspectives Chalapathy Neti, Ph.D. Associate Director, Healthcare Transformation, Shahram Ebadollahi, Ph.D. Research Staff Memeber IBM Research,
Vision for the Cohort and the Precision Medicine Initiative Francis S. Collins, M.D., Ph.D. Director, National Institutes of Health Precision
Vision for the Cohort and the Precision Medicine Initiative Francis S. Collins, M.D., Ph.D. Director, National Institutes of Health Precision Medicine Initiative: Building a Large U.S. Research Cohort
Human Genome Organization: An Update. Genome Organization: An Update
Human Genome Organization: An Update Genome Organization: An Update Highlights of Human Genome Project Timetable Proposed in 1990 as 3 billion dollar joint venture between DOE and NIH with 15 year completion
What is Pharmacogenomics? Personalization of Medications for You! Michigan State Medical Assistants Conference May 6, 2006
What is Pharmacogenomics? Personalization of Medications for You! Michigan State Medical Assistants Conference May 6, 2006 Debra Duquette, MS, CGC Genomics Coordinator Epidemiology Services Division Department
Integration of Genetic and Familial Data into. Electronic Medical Records and Healthcare Processes
Integration of Genetic and Familial Data into Electronic Medical Records and Healthcare Processes By Thomas Kmiecik and Dale Sanders February 2, 2009 Introduction Although our health is certainly impacted
Voluntary Genomic Data Submissions at the U.S. FDA
Voluntary Genomic Data Submissions at the U.S. FDA International Conference on Harmonization Chicago, IL November 9-10, 9 2005 Felix W. Frueh, PhD Associate Director for Genomics Office of Clinical Pharmacology
Incorporating Research Into Sight (IRIS) Essentia Rural Health Institute Marshfield Clinic Penn State University
Incorporating Research Into Sight (IRIS) Essentia Rural Health Institute Marshfield Clinic Penn State University Aim 1. Develop and validate electronic algorithms for ophthalmic conditions and efficacy
A Multi-locus Genetic Risk Score for Abdominal Aortic Aneurysm
A Multi-locus Genetic Risk Score for Abdominal Aortic Aneurysm Zi Ye, 1 MD, Erin Austin, 1,2 PhD, Daniel J Schaid, 2 PhD, Iftikhar J. Kullo, 1 MD Affiliations: 1 Division of Cardiovascular Diseases and
14.3 Studying the Human Genome
14.3 Studying the Human Genome Lesson Objectives Summarize the methods of DNA analysis. State the goals of the Human Genome Project and explain what we have learned so far. Lesson Summary Manipulating
#Aim2Innovate. Share session insights and questions socially. Genomics, Precision Medicine and the EHR 6/17/2015
Genomics, Precision Medicine and the EHR Making Genomics part of everyday practice Andrew Ury, M.D. CEO and founder, ActX, Inc. June 17, 2015 DISCLAIMER: The views and opinions expressed in this presentation
TRANSLATIONAL BIOINFORMATICS 101
TRANSLATIONAL BIOINFORMATICS 101 JESSICA D. TENENBAUM Department of Bioinformatics and Biostatistics, Duke University Durham, NC 27715 USA [email protected] SUBHA MADHAVAN Innovation Center for
Regulatory Issues in Genetic Testing and Targeted Drug Development
Regulatory Issues in Genetic Testing and Targeted Drug Development Janet Woodcock, M.D. Deputy Commissioner for Operations Food and Drug Administration October 12, 2006 Genetic and Genomic Tests are Types
Integrating Bioinformatics, Medical Sciences and Drug Discovery
Integrating Bioinformatics, Medical Sciences and Drug Discovery M. Madan Babu Centre for Biotechnology, Anna University, Chennai - 600025 phone: 44-4332179 :: email: [email protected] Bioinformatics
Bench to Bedside Clinical Decision Support:
Bench to Bedside Clinical Decision Support: The Role of Semantic Web Technologies in Clinical and Translational Medicine Tonya Hongsermeier, MD, MBA Corporate Manager, Clinical Knowledge Management and
The 100,000 genomes project
The 100,000 genomes project Tim Hubbard @timjph Genomics England King s College London, King s Health Partners Wellcome Trust Sanger Institute ClinGen / Decipher Washington DC, 26 th May 2015 The 100,000
Medical Informatics II
Medical Informatics II Zlatko Trajanoski Institute for Genomics and Bioinformatics Graz University of Technology http://genome.tugraz.at [email protected] Medical Informatics II Introduction
Validation and Replication
Validation and Replication Overview Definitions of validation and replication Difficulties and limitations Working examples from our group and others Why? False positive results still occur. even after
Computational Pathology and the Role of Pathology Informatics
Pathology Informatics Summit 2015 Computational Pathology and the Role of Pathology Informatics Michael J. Becich, MD PhD - [email protected] Chairman, Department of Biomedical Informatics http://www.dbmi.pitt.edu
Genetic Testing: Scientific Background for Policymakers
Genetic Testing: Scientific Background for Policymakers Amanda K. Sarata Specialist in Health Policy December 19, 2011 CRS Report for Congress Prepared for Members and Committees of Congress Congressional
Dr Alexander Henzing
Horizon 2020 Health, Demographic Change & Wellbeing EU funding, research and collaboration opportunities for 2016/17 Innovate UK funding opportunities in omics, bridging health and life sciences Dr Alexander
The Spectrum of Biomedical Informatics and the UAB Informatics Institute
The Spectrum of Biomedical Informatics and the UAB Informatics Institute Molecular and Cellular Pathology Seminar September 22, 2015 James J. Cimino, MD Director, Informatics Institute University of Alabama
Saving healthcare costs by implementing new genetic risk tests for early detection of cancer and prevention of cardiovascular diseases
Saving healthcare costs by implementing new genetic risk tests for early detection of cancer and prevention of cardiovascular diseases Jeff Gulcher, MD PhD Chief Scientific Officer and co-founder decode
The Human Genome Project. From genome to health From human genome to other genomes and to gene function Structural Genomics initiative
The Human Genome Project From genome to health From human genome to other genomes and to gene function Structural Genomics initiative June 2000 What is the Human Genome Project? U.S. govt. project coordinated
How To Change Medicine
P4 Medicine: Personalized, Predictive, Preventive, Participatory A Change of View that Changes Everything Leroy E. Hood Institute for Systems Biology David J. Galas Battelle Memorial Institute Version
Vad är bioinformatik och varför behöver vi det i vården? a bioinformatician's perspectives
Vad är bioinformatik och varför behöver vi det i vården? a bioinformatician's perspectives [email protected] 2015-05-21 Functional Bioinformatics, Örebro University Vad är bioinformatik och varför
ITT Advanced Medical Technologies - A Programmer's Overview
ITT Advanced Medical Technologies (Ileri Tip Teknolojileri) ITT Advanced Medical Technologies (Ileri Tip Teknolojileri) is a biotechnology company (SME) established in Turkey. Its activity area is research,
Essential Nursing Competencies and Curricula Guidelines for Genetics and Genomics: Outcome Indicators
Essential Nursing Competencies and Curricula Guidelines for Genetics and Genomics: Outcome Indicators Introduction The Outcome Indicators are an adjunct to the Essential Nursing Competencies and Curricula
The M.U.R.D.O.C.K. Study
1 The M.U.R.D.O.C.K. Study Measurement to Understand Reclassification of Disease Of Cabarrus/Kannapolis Jessica Tenenbaum, PhD and many, many others 2 MURDOCK Study Measurement to Understand the Reclassification
Biomedical Big Data and Precision Medicine
Biomedical Big Data and Precision Medicine Jie Yang Department of Mathematics, Statistics, and Computer Science University of Illinois at Chicago October 8, 2015 1 Explosion of Biomedical Data 2 Types
SAP HANA Enabling Genome Analysis
SAP HANA Enabling Genome Analysis Joanna L. Kelley, PhD Postdoctoral Scholar, Stanford University Enakshi Singh, MSc HANA Product Management, SAP Labs LLC Outline Use cases Genomics review Challenges in
Lessons from the Stanford HIV Drug Resistance Database
1 Lessons from the Stanford HIV Drug Resistance Database Bob Shafer, MD Department of Medicine and by Courtesy Pathology (Infectious Diseases) Stanford University Outline 2 Goals and rationale for HIVDB
Autoimmunity and immunemediated. FOCiS. Lecture outline
1 Autoimmunity and immunemediated inflammatory diseases Abul K. Abbas, MD UCSF FOCiS 2 Lecture outline Pathogenesis of autoimmunity: why selftolerance fails Genetics of autoimmune diseases Therapeutic
Preventive Telemedicine Challenges in Russia
Preventive Telemedicine Challenges in Russia Sergey Koldybaev Siberian Branch of Russian Academy of Sciences E mail: [email protected] Features of Russian Healthcare Most of qualified physicians concentrate
Pharmacogenetic Activities in SWOG Breast Cancer
Pharmacogenetic Activities in SWOG Breast Cancer Pharmacogenomics: Future Plans S8897 Adjuvant CMF vs. CAF/ no Treatment Ambrosone RO1: Other genes (TBCI approved, analyses ongoing) S0221 Adjuvant Dose
Just the Facts: A Basic Introduction to the Science Underlying NCBI Resources
1 of 8 11/7/2004 11:00 AM National Center for Biotechnology Information About NCBI NCBI at a Glance A Science Primer Human Genome Resources Model Organisms Guide Outreach and Education Databases and Tools
School of Nursing. Presented by Yvette Conley, PhD
Presented by Yvette Conley, PhD What we will cover during this webcast: Briefly discuss the approaches introduced in the paper: Genome Sequencing Genome Wide Association Studies Epigenomics Gene Expression
The Digital Medicine Revolution in Healthcare. By John M. Buell
The Digital Medicine Revolution in Healthcare By John M. Buell With billions of people using wireless technology globally and the sequencing of the human genome complete, the unlikely convergence of these
DNA Sequencing and Personalised Medicine
DNA Sequencing and Personalised Medicine Mick Watson Director of ARK-Genomics The Roslin Institute PERSONALISED MEDICINE What is personalised medicine? Personalized Medicine refers to the tailoring of
How does genetic testing work?
How does genetic testing work? What is a genetic test? A genetic test looks at to find changes (variants) that cause disease or put you at greater risk to develop disease. DNA is the code our bodies use
Heritability: Twin Studies. Twin studies are often used to assess genetic effects on variation in a trait
TWINS AND GENETICS TWINS Heritability: Twin Studies Twin studies are often used to assess genetic effects on variation in a trait Comparing MZ/DZ twins can give evidence for genetic and/or environmental
Your healthcare provider has ordered a Boston Heart Cardiac Risk Assessment
Your healthcare provider has ordered a Boston Heart Cardiac Risk Assessment What does that mean for you? Your healthcare provider has determined that you may be at risk for cardiovascular disease (CVD).
Prevention of and the Screening for Diabetes Part I Insulin Resistance By James L. Holly, MD Your Life Your Health The Examiner January 19, 2012
Prevention of and the Screening for Diabetes Part I Insulin Resistance By James L. Holly, MD Your Life Your Health The Examiner January 19, 2012 In 2002, SETMA began a relationship with Joslin Diabetes
Core Facility Genomics
Core Facility Genomics versatile genome or transcriptome analyses based on quantifiable highthroughput data ascertainment 1 Topics Collaboration with Harald Binder and Clemens Kreutz Project: Microarray
TECHNOLOGIES, PRODUCTS & SERVICES for MOLECULAR DIAGNOSTICS, MDx ABA 298
DIAGNOSTICS BUSINESS ANALYSIS SERIES: TECHNOLOGIES, PRODUCTS & SERVICES for MOLECULAR DIAGNOSTICS, MDx ABA 298 By ADAMS BUSINESS ASSOCIATES MAY 2014. May 2014 ABA 298 1 Technologies, Products & Services
Array Comparative Genomic Hybridisation (CGH)
Array Comparative Genomic Hybridisation (CGH) Exceptional healthcare, personally delivered What is array CGH? Array CGH is a new test that is now offered to all patients referred with learning disability
Presenting data: how to convey information most effectively Centre of Research Excellence in Patient Safety 20 Feb 2015
Presenting data: how to convey information most effectively Centre of Research Excellence in Patient Safety 20 Feb 2015 Biomedical Informatics: helping visualization from molecules to population Dr. Guillermo
Globally, about 9.7% of cancers in men are prostate cancers, and the risk of developing the
Chapter 5 Analysis of Prostate Cancer Association Study Data 5.1 Risk factors for Prostate Cancer Globally, about 9.7% of cancers in men are prostate cancers, and the risk of developing the disease has
Clinical Decision Support (CDS) Options in a CPOE System. Lolita G. White, PharmD Clinical Applications Analyst
Clinical Decision Support (CDS) Options in a CPOE System Lolita G. White, PharmD Clinical Applications Analyst Clinical Decision Support Clinical decision support (CDS) systems provide clinicians, staff,
Genetic testing. The difference diagnostics can make. The British In Vitro Diagnostics Association
6 Genetic testing The difference diagnostics can make The British In Vitro Diagnostics Association Genetic INTRODUCTION testing The Department of Health published Our Inheritance, Our Future - Realising
Workshop on Establishing a Central Resource of Data from Genome Sequencing Projects
Report on the Workshop on Establishing a Central Resource of Data from Genome Sequencing Projects Background and Goals of the Workshop June 5 6, 2012 The use of genome sequencing in human research is growing
Participating in Alzheimer s Disease Clinical Trials and Studies
Participating in Alzheimer s Disease Clinical Trials and Studies FACT SHEET When Margaret was diagnosed with earlystage Alzheimer s disease at age 68, she wanted to do everything possible to combat the
Genetic diagnostics the gateway to personalized medicine
Micronova 20.11.2012 Genetic diagnostics the gateway to personalized medicine Kristiina Assoc. professor, Director of Genetic Department HUSLAB, Helsinki University Central Hospital The Human Genome Packed
Biobanks: DNA and Research
f r o m b i r t h to death a n d b e n c h to clinic THE HASTINGS CENTER Bioethics Briefing Book for Journalists, Policymakers, and Campaigns Chapter 3 Biobanks: DNA and Research Karen J. Maschke, Biobanks:
Journal Club: Niacin in Patients with Low HDL Cholesterol Levels Receiving Intensive Statin Therapy by the AIM-HIGH Investigators
Journal Club: Niacin in Patients with Low HDL Cholesterol Levels Receiving Intensive Statin Therapy by the AIM-HIGH Investigators Shaikha Al Naimi Doctor of Pharmacy Student College of Pharmacy Qatar University
BIOINF 525 Winter 2016 Foundations of Bioinformatics and Systems Biology http://tinyurl.com/bioinf525-w16
Course Director: Dr. Barry Grant (DCM&B, [email protected]) Description: This is a three module course covering (1) Foundations of Bioinformatics, (2) Statistics in Bioinformatics, and (3) Systems
Clinical Research Infrastructure
Clinical Research Infrastructure Enhancing UK s Clinical Research Capabilities & Technologies At least 150m to establish /develop cutting-edge technological infrastructure, UK wide. to bring into practice
Big Data An Opportunity or a Distraction? Signal or Noise?
Big Data An Opportunity or a Distraction? Signal or Noise? Maya R. Said, Sc.D. SVP & Global Head, Oncology Policy & Market Access, Novartis 3rd International Systems Biomedicine Symposium Luxembourg, 28
Developing VA GDx: An Informatics Platform to Capture and Integrate Genetic Diagnostic Testing Data into the VA Electronic Medical Record
Developing VA GDx: An Informatics Platform to Capture and Integrate Genetic Diagnostic Testing Data into the VA Electronic Medical Record Scott L. DuVall Jun 27, 2014 1 Julie Lynch Vickie Venne Dawn Provenzale
How To Get A Masters Degree In Biomedical Informatics
UNIVERSITY OF COLOMBO POSTGRADUATE INSTITUTE OF MEDICINE OF SRI LANKA Drafted and printed by the Board of Study in Multi Disciplinary Study Courses and the Postgraduate Institute of Medicine, University