Mckesson Corporation · NYSE:MCK

Mckesson — Executive Performance Webinar Series: Clinical Leadership Education Sessions (March 2009)

26 slides from Mckesson's conference presentation, Mar 26, 2009

  1. Slide 1: Personalized Medicine: Practical Applications, Future Implications

    Personalized Medicine: Practical Applications, Future Implications Clinical Leadership Education Sessions 1 Executive Performance Webinar Series

  2. Slide 2: Personalized Medicine: Practical Applications, Future Implications

    Personalized Medicine: Practical Applications, Future Implications Frederick S. Lee, MD, MPH Surya Singh, MD Product Manager, Personalized Medicine Chief Medical Officer McKesson Corporation Proventys [email protected] [email protected] March 26, 2009 Executive Performance Webinar S

  3. Slide 3: What you will learn

    What you will learn  The definition and key concepts of personalized medicine  The trends and opportunities arising from advances in the biologic sciences  The trends and opportunities arising from advances in healthcare IT Executive Performance Webinar Series: Clinical Leadership Education Sessi

  4. Slide 4: Agenda

    Agenda  The definition and key concepts of personalized medicine  The trends and opportunities arising from advances in the biologic sciences  The trends and opportunities arising from advances in healthcare IT Executive Performance Webinar Series: Clinical Leadership Education Sessions 4

  5. Slide 5: What is Personalized Medicine?

    What is Personalized Medicine?  “…personalized medicine uses new methods of molecular analysis [and predictive modeling] to better manage a patient’s disease or predisposition toward a disease. It aims to achieve optimal medical outcomes by helping physicians and patients choose the disease managem

  6. Slide 6: Moving Beyond Population-Based Care

    Moving Beyond Population-Based Care Executive Performance Webinar Series: Clinical Leadership Education Sessions

  7. Slide 7: Medical Decision Making

    Medical Decision Making  Today, at best … – Population based-evidence combined with individual clinician experience – Calculators, nomograms and criteria to risk stratify individuals  Tomorrow, decision making will be … – Phenotype, environmental, clinical, and genomic factors in a “black box” ris

  8. Slide 8: The Foundation of Personalized Medicine

    The Foundation of Personalized Medicine Personalized Medicine Biologic Informatics Molecular Sciences & HCIT Diagnostics Novel Therapies EHR Disease Clinical Subtypes Adoption Databases Genomics Epigenomics Molecular Biostat Proteomics Basis of Disease Modeling Executive Performance Webinar Series:

  9. Slide 9: Profound Transformation in Care Delivery

    Profound Transformation in Care Delivery Enhanced ability to detect disease Disease Diagnosis Optimized therapies that increase efficacy Pharmacogenomics Personalized Medicine Deeper understanding of Risk & Disease disease subtypes & Classification risk predisposition Longitudinal management of an i

  10. Slide 10: Today's Real World Examples

    Today’s Real World Examples Warfarin: Genetically linked variability in patient response  Prescribed to >2 million patients/year  Common reasons for inpatient Rx: diagnosed clots (DVT or PE), clot prevention after heart attack  21% of patients (400,000/year) experience adverse bleeding events dur

  11. Slide 11: Tomorrow's Examples

    Tomorrow’s Examples Breast Cancer Testing Available Summer 2009 Executive Performance Webinar Series: Clinical Leadership Education Sessions 11

  12. Slide 12: Delivery Challenges

    Delivery Challenges General Preparedness Workflow Ambiguity HCIT Design Challenges Lab & Pharma Guidelines & Evidence Standards & Payors & Regulators Terminologies Rapid turnover of evidence base External Evidence Base Clinical Workforce Knowledge Delivery system capabilities Representation ~2300 ge

  13. Slide 13: Agenda

    Agenda  The definition and key concepts of personalized medicine  The trends and opportunities arising from advances in the biologic sciences  The trends and opportunities arising from advances in healthcare IT Executive Performance Webinar Series: Clinical Leadership Education Sessions 13

  14. Slide 14: Emerging Trends

    Emerging Trends PREDICTION PROOF OPPORTUNITIES  Diagnostics  Whole genome  Enhanced LIS will increase in sequencing importance becoming reality  Molecular basis of  Enhanced EHR  Need for disease being interpretative elucidated support will outstrip current  Pharmacogenomics  Electronic syst

  15. Slide 15: Toward the $1,000 Genome

    Toward the $1,000 Genome 1999 2003 2007 2009 Volume in base pairs 70k bp/run 100M bp/run 2B bp/run 10B bp/run run Cost per run $3B $30M $300k $100k Executive Performance Webinar Series: Clinical Leadership Education Sessions

  16. Slide 16: Toward the $1,000 Genome Today

    Toward the $1,000 Genome  Today  Next generation sequencer available for $150k  Announced expected $4k genome in 2009* *http://www.bio-itworld.com/issues/2008/nov-dec/complete-genomics.html Executive Performance Webinar Series: Clinical Leadership Education Sessions

  17. Slide 17: Executive Performance Webinar Series: Clinical Leadership Education Sessions

    Executive Performance Webinar Series: Clinical Leadership Education Sessions

  18. Slide 18: Agenda

    Agenda  The definition and key concepts of personalized medicine  The trends and opportunities arising from advances in the biologic sciences  The trends and opportunities arising from advances in healthcare IT Executive Performance Webinar Series: Clinical Leadership Education Sessions 18

  19. Slide 19: Evolution of computer assisted decision making

    Seeing the Present Predicting the Future Full FUNCTIONALITY Minimal Our Past Today: 2009 Our Future: 2012+ Evolution of computer assisted decision making and knowledge management Executive Performance Webinar Series: Clinical Leadership Education Sessions

  20. Slide 20: Emerging Trends

    Emerging Trends PREDICTION IMPLICATIONS OPPORTUNITIES  HCIT will play a  “Data tsunami”  Industry source of critical role in new interpretation  Increased focus care paradigm content on integration into  Physicians need and the clinical  Predictive will embrace models workflow algorithm that a

  21. Slide 21: Need for Patient-Specific Decision Support Assistance

    Need for Patient-Specific Decision Support Assistance Source: Bill Stead, Vanderbilt University Executive Performance Webinar Series: Clinical Leadership Education Sessions

  22. Slide 22: Proliferation of Testing

    Proliferation of Testing  Genetic Testing  1,200 + genetic tests now commercially available; volume growing by >10% annually  Expenditure of genetic testing is growing 40-50% annually; current overall spend ≈ $2 B  Useful for 2% of the population today; projected to increase to 60% within ten ye

  23. Slide 23: Personalizing Care with Today's Data

    Personalizing Care with Today’s Data  Most currently utilized predictive models use non- “omic” data (genomic, proteomic, metabolomic)  PORT/PSI score  CHADS2, GRACE, Wells criteria  Additional opportunities for model development through use of currently available/generated clinical data  Criti

  24. Slide 24: Predictive Model Development

    Predictive Model Development DATA DEMOGRAPHIC CLINICAL BIOMARKER GENETIC PREDICTIVE MODELS STATISTICAL VALIDATION BASELINE RISK DISEASE PROGRESSION EVENT PREDICTION y = f (x1, x2,…xn ) THERAPY RESPONSE PREDICTIVE MODEL PREDICTIVE MODELER PATIENT’S DATA ADDITIONAL DATA; NEW BIOMARKERS PATIENT PHYSICI

  25. Slide 25: In Conclusion – Key Takeaways

    In Conclusion – Key Takeaways  Advances in molecular biology and computational informatics are powering personalized medicine  Personalized medicine presents real opportunities and real challenges to the existing model of care provision  Personalized medicine includes genomics, but is more than g

  26. Slide 26: Questions?

    Questions? Executive Performance Webinar Series: Clinical Leadership Education Sessions 26

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