Watch full webinar here: https://bit.ly/3cZDAvo As COVID -19 continues to challenge entire healthcare ecosystems and forcing healthcare organizations to pivot without much notice, patient information interoperability and data transparency are increasingly taking center stage among healthcare stakeholders. This year, a new set of federal guidelines giving patients more access to their data goes into effect, improving interoperability. Even without this, most healthcare stakeholders would agree that better, and mobile, access, and interoperability of information could improve care and save time and lives. Watch on-demand this webinar to learn: - How health IT interoperability can help your healthcare organization move forward to better health reporting, patient matching and care coordination in 2021 and beyond. - How to set up your healthcare organization for success through more information transparency, how this can help your healthcare stakeholders. - COVID 19 has given federal agencies a lot of momentum to move even more quickly regarding implementing interoperability rules, what does this mean for your organization?

1. Covid 19: Accelerating the Need
for Healthcare Interoperability
and Transparency
CYBX - Denodo: Webinar
March 25th, 2021

2. 2
Agenda
• Introductions
• CYBX Overview
• Denodo Overview
• Impact of Covid-19 on Healthcare
• State of Data in Healthcare
• Healthcare Examples
• CYBX: Managing Healthcare
• Future of Healthcare Data: Drivers
• Next Steps/ Q&A

3. Panelists:
Arlen Meyers, MD,
MBA: Emeritus
Professor, University of
Colorado School of
Medicine, President and
CEO, Society of Physician
Entrepreneurs and Chief
Medical Officer, CYBX
Paul Fearon:
Senior Solutions
Consultant:
Denodo
Chris Maresca:
Chief Technical
Officer: CYBX
Eugene Pozdnikov:
CEO: CYBX
(Moderator)

4. Cyberionix - Company Overview
A team with over 25 years of Enterprise integration,
Healthcare and Data Management experience
Solutions and Services
▪ EHR and Auxiliary Systems Integration
▪ Workflow analysis
▪ Quality assessment
▪ RPM Integration
▪ Flexible deployment: On-Prem, Cloud, Hybrid
▪ SaaS
CYBX builds on Denodo’s data
virtualization to create a healthcare data
fabric , providing a single, unified and
curated view of data across the
organization.

6. A Clinicians Perspective:
Interoperability objectives and key results
Systems goals: Quintuple Aim
Organizational Goals: Finance, Marketing, Resources, Operations
Clinician goals: Quality, Workflow, Income, Liability, Time
Patient goals: Peace of mind, Information, Disease management
Need for: timely, actionable information at the point of care.

7. Data in Healthcare
Technical Challenges: were we ready?
▪ Growth: 2x every 8-12 months
▪ Fragmentation: multiple data sources
▪ EHR’s: proprietary / “closed” systems, mostly
for the benefit of the payers
▪ Regulatory: Cares and Cures Acts, HIPAA
▪ Data Quality: structured and unstructured
data/ diagnostic coding
▪ Standards: HL7/ FHIR
▪ Interoperability: ‘Internal’ vs ‘External’

8. 8
• Enterprise-Wide Analytics
• Patient Outcomes Improvement Reports
• ED Daily Status Dashboards
• COVID-19 Dashboard
• Snowflake Migration
• Hospital Operations, Billing, Insurance
• Data Fabric for New EMR
• Virtualize EPIC and other internal and external data
sources
• Define ”certified” and ”uncertified” data assets
• Target 50% faster data driven decisions
Institution Use Cases
Selected Denodo Healthcare Customers

9. 9
Connect, Combine, Consume

10. Business Need Solution Benefits
Scottish healthcare company uses Denodo to rebrand itself as a health and wellness
company and helps the government to identify places where healthcare benefits and
resources were not distributed consistently in sync with the rest of the country.
• Integration – a thousand point to point
data sources
• Agility - in terms of making more data
available for research purposes
• Predictive and prescriptive analytics -
providing the relevant data in real time
to its team of data scientists.
• In two years 12 new healthcare projects are in
production with another 12 in the pipeline.
• National comparative reporting on
chemotherapy data.
• Identified a core group of people who need to
be evacuated in times of emergency.
• Combine the data from NHS and alcohol and
drug commission data to identify the efficacy of
intervention services provided.
• A logical Data warehouse connecting
central Data warehouse with the data
lake with unstructured data.
• Create a single, secure, governed and
audited point of entry for all data.
• Support for multiple analysis tools
(Tableau, BO, Qlik, SPSS and Data Science
Notebooks).
10
NHS Scotland, is the publicly funded healthcare system in Scotland. It operates 14 territorial NHS Boards across
Scotland, seven special non-geographic health boards and NHS Health Scotland.
Case Study

11. 12
NSS National Logical Data Warehouse
Legacy Architecture New Agile Architecture
New
capabilities

12. Business Need Solution Benefits
Spectrum Health is a regional healthcare system (hospitals, physicians and
plans) which incorporates 170 service sites, including hospitals, urgent care
centers, primary care physician offices, community clinics, rehabilitation,
outpatient facilities and elderly care. They have over 1 million members with
a revenue of $6.9 billion with 39,000 employees and volunteers.
• Integration - Over 170 service sites
• Accuracy - multitude of data sources, etc.
consolidation has introduced integrity
challenges re provider activity
information.
• 360 degree view of employee - Key to
the operations of the clinic during the
pandemic was tracking the health and
wellness of the staff.
Agility
• COVID-19 Portal . In an effort to
measure and monitor the health of
employees as well track other vital
COVID-19 statistics, a dashboard was
created in weeks rather than months.
• Architect a logical Datawarehouse with
claims and lab data from over 170
different services sites.
• Consolidated view of provider activity
• COVID-19 Portal. Focused on tracking the
health of key staff members.
13
Case Study

13. 14
Spectrum Health 1st Project – COVID-19
Dashboard

14. CYBX Unified Health Data Fabric (UHDF)
Leveraging FHIR, AI, User ID, Automation

15. Managing Patient Access

16. Managing Clinical Data

17. What’s Next?
▪ What are the Demographics and Economics?
▪ Everything Connected?
▪ RPM
▪ Wearables
▪ SDOH: Important? How to Integrate?
▪ ‘Consumer-Centric’ Healthcare
▪ How to make it work in an “agile” fashion?

19. Q&A