Kurt Pattyn, Software Architect at Barco Pieter Moulaert, Team Leader at Barco Dick Dijkstra, Technical Specialist Azure at Microsoft MediCal QAWeb is an online software service developed by Barco for monitoring image quality and uptime of medical display systems in hospitals all over the world. The service is the first of its kind and offers proactive alerts of quality issues, automatic issue solving, centralized asset and Quality Assurance reporting and much more. The next version of MediCal QAWeb is under development and will use MongoDB and Node.js. The system will be built on Microsoft’s Internet of Things building blocks running on the Azure platform. In this presentation, Barco and Microsoft will explain how the Internet of Things has provided new services and revenue opportunities for them and for their customers by building solutions that until recently were unimaginable. They will explain the technology and architectural design choices made in order to guarantee that the platform which connects several tens of thousands of devices today can scale to support their growing customer needs long into the future.

1. IoT in Healthcare
The Barco Healthcare Case
Kurt Pattyn, Software Architect at Barco
Pieter Moulaert, Team Leader at Barco
Dick Dijkstra, Technical Specialist Azure at Microsoft

2. Barco Healthcare

3. Where you’ll find Barco
in your healthcare facility
2
Cardiology Radiology
Dentistry
Outpatient clinics
Patient bedside
Emergency
ICU
Surgery
Pathology
Barco products help medical
personnel throughout the
healthcare enterprise by:
 Boosting clinical performance
 Streamlining workflow
 Enhancing diagnostic
confidence
 Supporting inter-disciplinary
collaboration
THE RESULT: improved health
outcomes.
Telemedicine

4. Diagnostic Displays
 Used for diagnosis
 Strongly regulated
 MSQA, JESRA, DIN, AAPM TG18
 Stringent image quality requirements
 ~ Time is money
 Meaningful use

5. Review Displays
 Used by specialists
 Responsible to determine treatment
 Medium image quality requirements
 Anti-bacterial

6. Surgical Displays
 Used in Operating Room
 Stringent EMC requirements
 Stringent uptime requirements
 Medium image quality reqs
 Anti-bacterial

7. Image Distribution
 Digital OR
 IP-based image distribution
 Stringent uptime requirements
 Stringent EMC requirements

8. Bed-side Terminals
 Patient infotainment
 Access Point for doctors and nurses
 Anti-bacterial
 Stringent EMC requirements

9. Healthcare & IoT = ?

10. The IoT Use Case
 Guard Image Quality
 According regulations (DIN, JESRA, …)
 According hospital QA policies
 Guard Lifetime
 Minimum luminance
 Warranty periods
 Guard Uptime
 Predictive failure analysis
 Predictive quality analysis

11. The IoT Use Case
 Remote Control
 Manual calibration
 Remote diagnosis
 Compliance Reporting
 Provide the required regulatory reporting
 Guarantee archiving
 Centralized access for auditing purposes

12. IoT Healthcare Context
 Stringent Privacy Regulations
 cfr. HIPAA
 Stringent Security Requirements
 Strictly locked down access to the internet, if at all
 No inbound connections
 Certified workstation and device configuration
 No (automatic) updates: needs recertification
 Very strict configuration management

13. IoT Healthcare Context
 Stringent Development Requirements
 IEC 62304
 Stringent Data Import and Export Regulations
 e.g. China - data cannot enter nor leave the country
 Germany is working on a similar legislation
 European Union - Safe Harbor Principles

14. As a result...
 Devices cannot be connected directly to the internet
 Limits choices of protocols (e.g. AMQP, MQTT)
 No inbound connections
 Data cannot be stored in one central location
 Decentralised architecture required
 Data gathering & distribution must obey to regional
laws
 Sensitive information must be maximally protected
 Userid/password

15. Some Numbers
 Support for 1.5M devices
 Growing from 65K to 1.5M in 10 years
 Expected data growth: 2TB/year
 Growing from 60GB/yr to 2TB/yr in 10 years
 Available in 100 countries
 Available in all continents
 Growing from 1 data center location to 5 or more

16. Technical Choices
"We are not an IT company!"
➔ Microsoft Azure
➔ MongoDB

17. Microsoft Azure
 Trusted by our customers
 Google is not trusted
 Data center in China
 Grow as needed
 Certifications
 http://azure.microsoft.com/en-us/support/trust-center/
compliance/
 HIPAA Business Associate Agreement
 Federal Risk and Authorization Management Program
(FedRAMP)

18. Microsoft Azure (cont'd)
 On-Premise Solutions
 ServiceBus, A/D, WebService (+ iisnode), …
 Not available with Amazon
 Integration with existing IT infrastructure
 Federation, ACS
 Worry-free maintenance and perimeter security
 Cloud-services maintained and updated by Azure
 Perimeter security handled by Azure (war games)

19. Microsoft Azure (cont'd)
 IoT Device Gateway
 Microsoft's answer for the booming IoT market
 Still in development
 Very supportive team (thanks Dick!)
 The 'new' Microsoft

20. MongoDB
 NoSQL Document Database
 Heterogeneous device information
 Heterogeneous reporting information
 Heterogeneous quality and telemetry information
 Distributed by design
 Failover and replication
 Data close to the consumer (sharding)
 Unlimited scalability

21. MongoDB (cont'd)
 Grow as needed
 On-Premise And Cloud Service Solution
 Worry-free maintenance
 MongoDB Inc. sets up, monitors, backs up and restores
databases
 Detection of low-performing queries
 24/7 support, with 15 minute reaction time

22. MongoDB (cont'd)
 Support for 'real-time' data analysis
 No need to copy data into a data warehouse
 Includes Map-Reduce framework
 Very supportive team (thanks Arthur!)

23. IoT & Microsoft

24. A service centric solution
Gather data from
embedded devices
1
Take corrective
action anytime,
anywhere
5
Anticipate production disruption
monitoring processes and assets
remotely
3
Enable inclusive global
cross-functional
collaboration
4
Transform data into business
information and insight
2

25. Canonical IoT Architecture
24
Presentation
and action
Web/thick
client dashboards
-
Search and query
Data analytics
Long term
storage
Data repository
Transformation
Real-time analytics
Batching/storage
adapters
Collection
Scalable
Event Processor
Producers
Sensors &
Devices
Field Gateways

26. Selecting the right components
25
Buy
Buy Some, Build
Some
Build
Focus on Business Result and Time To Value
Mix and Match
• Custom protocols & security
models
• Custom analytics and data
processing
Core Competency in building software &
Services
• Focus on flexibility & control
• Strategic investment in service platform

27. Microsoft Azure-based IoT Ecosystem
26
3rd Party IoT
Collection
Service Bus
Event Hub
Intelligent
System Service
Device Operator
Portal
Transformation
• Machine
Learning
• HDInsight
3rd Party IoT
SaaS Solutions
Storage
• Tables
• BLOBS
• SQL Azure
3rd Party IoT
SaaS
Solutions
Presentation
• Websites
3rd Party IoT
Abstractions
Intelligent Systems Service
Device Registry, rules, data mgmt/egress, per device
billing, system integration
SaaS
Solutions
3rd Party
Microsoft

28. Device Gateway: Architecture overview
1. Provisioning Service and
Metadata Store
2. Telemetry Protocol support
3. Telemetry Pump and
Adapters
4. Command Gateway
MQTT CoAP …
Custom Protocol Gateway Host
Service Bus Messaging
Telemetry/Request
Router
Notification/Command
Router
Adapters Command API Host
Provisioning
Service
Device
Metadata and
Key Store
HDInsight
BizTalk
Orleans
Azure Storage
Azure Dbs
Service Bus
HTTP
Devices
AMQP
2
3
1
Configuration
HTTP
4