This document discusses data democratization in healthcare imaging. It describes the challenges facing healthcare like declining inpatient volumes and the need for better patient experiences. It advocates empowering physicians and patients with data-driven insights to enhance decision making centered around patients. Data democratization is defined as lowering barriers to comprehensive, consistent and reliable healthcare data for all stakeholders. Achieving it requires business model innovation, developing an open ecosystem through community innovation, and technology innovation to provide secure access to standardized data. The benefits include making data actionable to focus on outcomes, value and better patient experiences.

1. Data democratization in imaging
Driving patient-centric, value-based healthcare
Big Data Expo 2017
Madhu Jahagirdar, Enterprise Architect
Philips Radiology Solutions
September 2017

2. What we’ll discuss
• Today’s healthcare challenges
• Data-driven healthcare
– Moving from “Screen Time” to “Patient Time”
• Healthtech and healthcare data trends
• Democratization of data
– What is it
– How to achieve it
• Achieving data democratization
– Business model innovation
– Community innovation
– Technology innovation
• Benefits
2 Big Data Expo 2017 | Philips Radiology Solutions

3. Episodic Continuous Orchestrating 24/7 care
Care provider Human-centric Focusing on patient experience
Volume Value Optimizing the resources
Key drivers for healthcare transformation
Transforming from To By
3

4. Today’s healthcare challenges
Steady decline in inpatient
volumes means an ever-increasing
focus on productivity with limited
resources
(staff and technology)
Drive for the best patient experience
across the continuum through
reducing patient wait times and
driving first time right imaging
A crucial need for actionable
information to drive evidence-
based decision making
Balancing migration to outpatient
models while maintaining necessary
and appropriate inpatient
volumes
Increasing complexities in
building a truly patient-centered
continuum of care by engaging all
participants in care delivery
Uncertain and dynamic regulatory
and political environments driving
Imaging’s shift to a cost center
4 Big Data Expo 2017 | Philips Radiology Solutions

5. Empowering physicians and patients with data-
driven, actionable insights can dramatically
enhance operational and clinical decision
making that is centered around the patient.
5 Big Data Expo 2017 | Philips Radiology Solutions

6. Data democratization | What is it
“Lowering barrier for entry to comprehensive, consistent and reliable
data for providers, patients, policy makers, physicians and developers
with secure and shared governance model”
Big Data Expo 2017 | Philips Radiology Solutions6
Transform healthcare into a more patient-centric and integrated delivery model

7. More data is available
Using data responsibly while
simultaneously and at the same
time doing business innovation
is challenge
Healthcare data trends
7 Big Data Expo 2017 | Philips Radiology Solutions

8. Healthtech trends
8 Big Data Expo 2017 | Philips Radiology Solutions

9. Data democratization| How to achieve it
9 Big Data Expo 2017 | Philips Radiology Solutions
Business Model
Innovation
Co-create solution and
manage risks
Community
Innovation
Develop secured,
regulated, open
ecosystem and shared
governance model for
co-innovation with
stakeholders
Technology
Innovation
Federate (not duplicate),
standardize and provide
secure access to data
anywhere (on-prem,
cloud, hybrid) and
anytime, ensuring data
security and privacy
Data alone is not enough

10. It’s essential to understand how to make data
actionable and enable delivery of care that’s
focused on outcomes, value and ultimately
better experiences for patients.
Business model innovation
10 Big Data Expo 2017 | Philips Radiology Solutions
Meaningful innovation through collaboration

11. Philips HealthSuite Digital Platform is an secure, open,
cloud-based platform that allows Philips and its partners
to create the next generation of connected health and
wellness innovation.
• Framework to build predictive analytics and decision support
algorithms on longitudinal patient data with consistent data
definition.
• Provides data trust and shared governance structure with
privacy and security as the core guiding principle.
• Open API with appropriate incentive structures to enable
third party collaboration to achieve next breakthrough in
healthcare
11 Big Data Expo 2017 | Philips Radiology Solutions
Community innovation
Achieve next-gen breakthrough through collaborative intelligence

12. Technology innovation
12 Big Data Expo 2017 | Philips Radiology Solutions
No show
Practice management
Population management
Patient stratification
Compliance reporting
Peer review
Cohort analysis
Follow-up detection
Comorbidity analysis
Repeat scan
Clinical pathways
Patient flow
Financial management
Workforce optimization
Image quality
Patient encounters
Payment model analysis
ACO management
Revenue cycle analysis
Device utilization
…
Disruption
Anywhere
& Anyone
Data Trust
Connect Co-relate Collaborate
Data Data definition Data privacy Data governance Data stewardship
ServiceFabric
InnovationFabric
(Apps)
DataFabric
5D
3C
Maturity
Consistency & Reliability
Data Driven Healthcare

13. Information Enabled Workflows
Data enabled Clinical Outcomes
Intelligence Practice
13 Big Data Expo 2017 | Philips Radiology Solutions
Benefits
‘Re-Invent’ the Health of Billions of people