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Prescription Decision Support For Primary Care

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Presentation on theme: "Prescription Decision Support For Primary Care"— Presentation transcript:

1 Prescription Decision Support For Primary Care
Kevin Mayes, CEO October 2016

2 High Cholesterol

3 Extensive Metabolizer
Acid Reflux Poor Metabolizer Extensive Metabolizer CYP2C19 Gene Lansoprazole Omeprazole Pantoprazole Esomeprazole Rabeprazole

4 Commonly Prescribed

5 Pharmacogenomics (PGx)
Will this drug work? Avoid expensive meds the patient won’t respond to How fast will it metabolize? Calibrate effective dose without trial and error What side effects will occur? Ensure patient compliance and avoid serious events

6 Gap between promise and reality
98% of physicians believe genetics influence prescribing only 13% are comfortable ordering a test

7 Why? Knowledge Barriers Use Case Barriers
new research articles published every week Difficulty understanding clinical relevance of evidence No way to interpret the raw genetic information Knowledge Barriers Use Case Barriers Tests expensive, rarely reimbursed Decision made at point of care, but tests take weeks No time to interpret complex reports

8 Our Co-founders Discovered many drug-on-gene correlations
MARK RATAIN, M.D. PETER H. O’DONNELL, M.D. Discovered many drug-on-gene correlations Frustrated that PGx wasn’t translating to clinical use Founded Center for Personalized Therapeutics at University of Chicago Created the Genomic Prescribing System (GPS) 4+ years and $4MM in grants Rigorously tested “1,200 Patients Project” 20 physicians, 8 specialties, 4,000+ encounters to date

9 Research Backed Solution
Study Results Clinical efficacy demonstrated in published research ~90% patients had 1+ PGx drug Physician embraced 85% felt made better decision Market interest demonstrated by physicians requesting to use GPS in their own practice PrescriptIQ founded to address market demand Incubated at Polsky Center Study physicians among its launch customers

10 About Us SAAS-based clinical decision support software for primary care Gene-on drug interactions Medication cost Drug-on-drug interactions Drug-on-drug-on-gene interactions Integrated into physician workflow via web-based interface & EMR Single, proprietary & preemptive genomic test provided by CLIA lab

11 Market Traction Early-adopter customers International interest
2 concierge physician practices 2 large academic health systems (Stanford & UCSF) Searching for health system pilot International interest Singapore, Japan and China Seed round in progress ($450K of $650K raised) Building leadership team Goal: demonstrate evidence to achieve reimbursement

12 Thank you!


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