Onemednet Corp · NASDAQ:ONMD
Onemednet — Investor Presentation (July 2024)
17 slides from Onemednet's investor presentation, Jul 1, 2024
Slide 1: Accelerating Life Sciences with Imaging Real-World Data
Accelerating Life Sciences with Imaging Real-World Data Investor Presentation 1
Slide 2: Forward-Looking Statements
Forward-Looking Statements Certain statements in this presentation constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995, as amended. Words such as "may," "might," "will," "should," "believe," "expect," "anticipate," "estimate," "continue,
Slide 3: Real-World Data Industry Leader
OMN Snapshot • Providing innovative solutions that unlock the significant value contained in the Real-World Data (“RWD”) repositories of 121.2M clinical exams from 1,413 healthcare system and provider sites via a revenue sharing model • Incomparable in-house RWD Curation Team Real-World Data • 300+
Slide 4: Unlocking the Potential of Medical Imaging as RWD
Unlocking the Potential of Medical Imaging as RWD The Opportunity 1 2 3 4 Centralizing, FDA defines RWD as Medical imaging is a These images are large de-identifying, health data sourced powerful type of and complex objects searching, and from various RWD, but leveraging that provide rich curating t
Slide 5: Solving RWD's Unmet Need
Solving RWD’s Unmet Need The Challenge Our Solution • Extensive network of providers & data partnerships Data Scarcity • Index smarter • Index deeper • Expansive geo-sampling • Diverse imaging machines, Data Bias patient ethnicities, disease pathologies • Apply minimization • Autonomous De-ID & clea
Slide 6: Target Markets
Target Markets • RWD replaces clinical trials, speeding up AI model development 1 • Simultaneously pursue multiple use cases with rich, Accelerate AI heterogeneous, FDA-grade data Imaging AI Model Development • Data annotation expenses are optimized based on data curation and longitudinal records th
Slide 7: Bridging the Gap – For Analytics Needs
Bridging the Gap – For Analytics Needs Clinical Data Life Sciences Organizations Reduces data delivery from Drug Development Medical Images months to weeks Existing clinical data can be used to cut costs and speed up trials Electronic Medical Records (EMR) Medical Device Development Post-market surv
Slide 8: Our Solution: iRWD Network & Platform
Our Solution: iRWD™ Network & Platform Enables our customers to: Securely search, de-identify, and curate 1 current clinical data in real-time Create ease of access to actionable data 2 from healthcare providers to life sciences organizations Impact patient outcomes and streamline 3 healthcare innov
Slide 9: iRWD Federated Network
iRWD™ Federated Network Data stays “native” at provider site until de-identified & data curation OneMedNet iRWD™ OMN Provides DISCOVER ENRICH INDEX SEARCH REFINE QC CURATION & QA DATA PATIENT & INDEXING REVENUE SECURITY SITE ANONYMITY & ACCESS DATA USER(S) • Timely data access • Comprehensive patien
Slide 10: The Difference is in the Data
The Difference is in the Data Our Data is Regulatory-grade • RWD is used to complement, reduce, and in some cases, replace clinical trials • Meets strict requirements for analysis and regulatory approval • Adds underserved populations in research • Supporting stages from Discovery through Post-Marke
Slide 11: Superior Data Begins with a Superior Network
Superior Data Begins with a Superior Network Our Ever-expanding Real-time, RWD 121M+ Clinical Exams 31M+ Patients 1,400+ Partner Sites Healthcare Impact on Research: Why It • Diverse and comprehensive data leads to better research outcomes Matters? • Ability to monitor and improve medical devices an
Slide 12: Competitive Advantages
Competitive Advantages 121M+ Highly Qualified Platform Solution Clinical Exams Curation Staff • Cloud Architecture • Continuously growing • Interpreted sophisticated • Built to utilize AI tools and network of patient data requirements of the buyer LLM for automation • Access to full longitudinal • A
Slide 13: Proprietary, Autonomous De-Identification Process
Proprietary, Autonomous De-Identification Process De-ID without AI De-ID with AI (Others) (OneMedNet) • Deep Learning & Large Autonomous Language Models (LLMs) Multiple De-ID Some automation De-ID process can automates the De-ID Process in but mainly limited to scale with needs. process with human i
Slide 14: Organizational Compliance
Organizational Compliance Privacy / Regulatory Compliance • HIPAA-HITECH, GDPR, PIPEDA • FDA 21 CFR Part 11 Cybersecurity / Risk Management • HITRUST Certified 3rd Party Hosting/SOC • NIST 800-53 CSF Risk Management/Controls • RBAC, MFA, & SSO 14
Slide 15: Case Example
Case Example Client Company Requests iRWD™ For Cancer Research COHORT Only the REQUEST RIGHT DATA at the RIGHT TIME LIFE SCIENCE COMPANY COHORT in the FULFILLED RIGHT FORMAT SAMPLE REQUIREMENTS INCLUDED: UNMATCHED DATA CURATION: • 1,500 screening positives; 1,500 screening negatives • Converted unst
Slide 16: 3 Pillars to Success
3 Pillars to Success iRWD™ PLATFORM PARTNERS CUSTOMER SUCCESS Accelerate Platform Prioritize Onboarding Scale & Decrease Development Partners Time to Revenue • Increase ease of access to • Continue to expand hospital • Continue to align organization repositories through modern, and academic medical
Slide 17: Investment Highlights
• A leading provider of precision curated, regulatory-grade RWD • Differentiated iRWD™ platform to Investment bring data from healthcare providers to Life Sciences organizations Highlights • Experienced management team • Entering a stage of anticipated rapid growth NASDAQ: ONMD Clinical Trials Marke