Medtronic Plc. · NYSE:MDT

Medtronic — Investor Presentation (2017)

24 slides from Medtronic's investor presentation, 2017

  1. Slide 1: New Intelligence Inside. TruRhythm Detection inside the Reveal LINQ ICM

    NEW INTELLIGENCE INSIDE. TruRhythm™ Detection inside the Reveal LINQ™ Insertable Cardiac Monitoring System World’s Smallest ICM. Now Smarter.

  2. Slide 2: Reveal ICM Evolution

    REVEAL™ ICM EVOLUTION  Accuracy  Work Flow

  3. Slide 3: Evolution of Reveal ICMs

    TRURHYTHM™ DETECTION INSIDE EVOLUTION OF REVEAL™ ICMs Now smarter TruRhythm™ Detection World’s smallest ICM NEW intelligence inside the Reveal LINQ™ ICM Reveal LINQ™ ICM World’s first ILR Reveal™ ILR 1998 2014 2017 3 TruRhythm™ Detection Inside the Reveal LINQ™ ICM

  4. Slide 4: Accuracy Evolution

    TRURHYTHM™ DETECTION INSIDE ACCURACY EVOLUTION TruRhythm™ Detection Reveal LINQ™ Reveal™ XT With FullView ™ Software Reveal™ XT Streamlined episode review for clinic efficiency1,2 NEW Pause algorithm NEW simplified insertion and NEW algorithms with PAUSE with diminishing tight pocket for better sign

  5. Slide 5: Work Flow Evolution

    TRURHYTHM™ DETECTION INSIDE WORK FLOW EVOLUTION TruRhythm™ Detection NEW services and education CareLink™ advancements Reveal LINQ™ ICM  Reveal LINQ ™ Best-in-class data Mobile Manager to streamline All patient and clinical data are fictitious and for demonstration purposes only.  FocusON Reveal L

  6. Slide 6: The Journey

    TRURHYTHM™ DETECTION INSIDE THE JOURNEY Clinical need 50,000+ ECGs TruRhythmTM Detection Clinicians said Over 50,000 real- NEW exclusive and intelligent algorithms streamlined data world ECGs analyzed that streamline episode review1 was the biggest need to increase device accuracy 1 TruRhythm™ Detec

  7. Slide 7: Intelligent, Actionable New Algorithms

    TRURHYTHM™ DETECTION INSIDE INTELLIGENT ACTIONABLE NEW ALGORITHMS WORK FLOW EFFICIENCY  Smart filtering  Streamlined episode  Self-learning review and reporting1,2 1 TruRhythm™ Detection Algorithms. Medtronic data on file. 2017. 2 TruRhythm™ Detection Efficiency. Medtronic data on file. 2017. 7 T

  8. Slide 8: New Algorithms

    NEW ALGORITHMS  Smart filtering  Self-learning intelligence

  9. Slide 9: Smart Filtering and Self-Learning AF Detection

    TRURHYTHM™ INTELLIGENT DETECTION NEW ALGORITHMS SMART FILTERING SELF-LEARNING NEW second sensing filter Exclusive fifth-generation analyzes rhythms for possible atrial fibrillation algorithm undersensing in Brady and Pause learns and adapts to patient’s rhythm over time BRADY & AF PAUSE 9 TruRhythm™

  10. Slide 10: Brady and Pause Episodes: Clinical Need

    TRURHYTHM™ INTELLIGENT DETECTION CLINICAL NEED BRADY AND PAUSE EPISODES BRADY  Improve PVC detection1 &  Improve small R-wave detection1 PAUSE PVCs example Small R-waves example Above image: Detection threshold of first sensing filter Above image: Detection threshold of first sensing filter Result

  11. Slide 11: Smart Filtering Algorithm

    TRURHYTHM™ INTELLIGENT DETECTION BRADY AND PAUSE SOLUTION SMART FILTERING ALGORITHM BRADY Exclusive second filter rejects Brady and Pause episodes with: & PAUSE EVIDENCE OF PVCs EVIDENCE OF SMALL R-WAVES PVCs example Small R-waves example AD Above image: Threshold of new, second filter detects PVCs

  12. Slide 12: Intelligent Detection: AF Episodes Clinical Need

    TRURHYTHM™ INTELLIGENT DETECTION CLINICAL NEED AF EPISODES Further enhance current AF algorithm to improve AF discrimination in patients AF with irregular sinus arrhythmias (sick sinus or PACs) CHALLENGE TODAY P-Sense Algorithm cannot adapt based on a patient’s history AF detection algorithms The Re

  13. Slide 13: Self-Learning Algorithm: AF Solution

    TRURHYTHM™ INTELLIGENT DETECTION AF SOLUTION SELF-LEARNING ALGORITHM Exclusive fifth-generation AF algorithm learns and adapts to a patient’s daily rhythm AF 1. LEARNS 2. ADAPTS 3. REJECTS AF algorithm tracks Self-learning algorithm will Self-learning algorithm R-wave variability in a keep a history

  14. Slide 14: Work Flow Efficiency

    WORK FLOW EFFICIENCY  Episode reduction  Report improvements

  15. Slide 15: Streamlined Episode Review

    TRURHYTHM™ ACTIONABLE DETECTION STREAMLINED EPISODE REVIEW 56% less clinician time spent reviewing data*1 Significant reduction in episode review1 1 TruRhythm™ Detection Algorithms. Medtronic data on file. 2017. *Review of false detects, compared with the Reveal LINQ™ ICM without TruRhythm™ Detectio

  16. Slide 16: Best-in-Class Data

    TRURHYTHM™ ACTIONABLE DETECTION INCREASED SPECIFICITY; MAINTAINED SENSITIVITY BEST-IN-CLASS DATA  Reduce episode review burden with fewer false detects1  Maintain clinical success without sacrificing sensitivity1 REDUCTION IN FALSE RELATIVE DETECTIONS SENSITIVITY1 BRADY 95% 98.3%† PAUSE 47% 99.4%†

  17. Slide 17: More Actionable AF Reports

    TRURHYTHM™ ACTIONABLE DETECTION REPORTING IMPROVEMENTS MORE ACTIONABLE AF REPORTS  30 seconds of ECG for longest stored AF episodes*  2 minutes of markers for longest stored AF episode AF episodes from wireless transmissions will show AF episodes will have ~2 minutes of intervals vs. 30 seconds of

  18. Slide 18: More Efficient Review

    TRURHYTHM™ ACTIONABLE DETECTION TIME SAVINGS MORE EFFICIENT REVIEW  Save time with more accurate detection1,2 Reduction in data review time* Total Device Patients Monitored Data Transmitted to 56% less clinician time Device Clinic spent reviewing data*2 True False Cardiac Positive Events Events Rev

  19. Slide 19: Proven Solution

    PROVEN SOLUTION  Clinical rigor  Confidence across indications

  20. Slide 20: Reveal ICM: Most Studied and Published

    REVEAL™ ICM: MOST STUDIED AND PUBLISHED 50M Most clinically validated days of real-world ICM in cryptogenic patient follow-up — stroke, syncope, the most of any and atrial fibrillation ICM manufacturer1 patients2-4 50+ 500+ published published clinical detection articles and performance abstracts6 p

  21. Slide 21: Proven Detection Confidence Across Indications

    TRURHYTHM™ PROVEN DETECTION CONFIDENCE ACROSS INDICATIONS Cryptogenic Syncope Atrial stroke fibrillation Why Reveal LINQ™ ICM? Why Reveal LINQ ™ ICM? Why Reveal LINQ ™ ICM? 88% percent of AF patients 78% of patients with recurrent Short and intermittent would be missed if syncope are diagnosed with

  22. Slide 22: New Intelligence to Guide Decisions

    TRURHYTHM™ DETECTION NEW INTELLIGENCE TO GUIDE DECISIONS INTELLIGENT ACTIONABLE PROVEN Exclusive NEW Best-in-class data Most studied with smart filtering to streamline 500+ clinical articles and self-learning episode review1 and abstracts2 algorithms1 1 TruRhythm™ Detection Algorithms. Medtronic dat

  23. Slide 23: Thank You

    THANK YOU

  24. Slide 24: Brief Statement

    Brief statement See the device manual for detailed information regarding the instructions for use, the implant procedure, indications, contraindications, warnings, precautions, and potential adverse events. For further information, contact your local Medtronic representative or consult the Medtronic

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