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PANDEMIC: EHEALTH TECHNOLOGIES IN AN OUTBREAK SCENARIO Alexander Madama, DO Chief Technologist Healthcare and Life Sciences May 14, 2020
PANDEMIC:EHEALTH TECHNOLOGIES IN AN OUTBREAK SCENARIO
Alexander Madama, DOChief Technologist Healthcare and Life Sciences
May 14, 2020
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WHAT IS THE CHALLENGE?
Pandemic Overwhelmed healthcare systems
Supply chain disruptions
FULLY CONNECTED FIELD HOSPITAL
CONFIDENTIAL
• May not need additional edge computing*
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STANDALONE FIELD HOSPITAL
McCormick Center
Chicago Sun-TimesNHS Nightingale
ExCel Convention Centre
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DATA POINTS
Vitals/Telemetry• Heart rate• Respiratory rate• Temperature (core/external)• Blood Pressure (non-invasive/invasive/PCWP)• Oxygen Saturation/Sp02/CO2• ECG multi-lead waveform
Medical Devices• Infusion pumps/Syringe drivers• Ventilators• Sequential Compression device• Portable X-Ray• Ultrasound
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UTILIZATION ( EQUIPMENT, BEDS, WARDS, STAFF AND HOSPITAL)
Secure Cloud Connectivity
Medical Equipment(Ventilators, MRI, etc.)
IoT Edge
Assets (Bed, Rooms, etc.)
Hospital ManagementSystem
Mobile / PCAlerts &
Notification
Dashboards and Apps for Nurse Stations,
Physicians, etc.
Government Authorities, etc.
Equipment Predictions &
Anomalies
Asset/Equipment List, Details & Utilization
RemoteManagement
UserManagementDashboards
Digital APIs
REMOTE MONITORING, TELEMEDICINE & PREVENTIVE HEALTHCARE
Medical SensorsEdge Gateway
DataStorage
Analyze DecisionMaking
Abnormality Alerting
End User View
Direct Care Providers
Hybrid Cloud Platform
EHR
WiFi/BLE/ IEE 802.15.4
Broadband/LTE/5G
Medical Analytics
CONFIDENTIAL | AUTHORIZED 11
SCREENING AND INPATIENT MONITORING – CAMERA AS A SENSOR
Secure Data Transmission
IoT EdgeThermal / Video Camera
Mobile / PC
Device Management
Incident
Reports
UserManagementDashboard
Patient Monitoring
QueueMonitoring
Health Check
Alerts &Notification
Nurse Stations /Physicians / Facility
Staffs, etc.
• Other scenarios like mask or unmask id using AI inference
Analytics
VIRTUAL REMOTE GUIDANCE (VRG) AND AUGMENTED REALITY
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• Hands-and-eyes remote support to service products
• Bring virtual support experts on-site by enabling real-time voice, video, and content sharing, via any android or iOS phone, tablet, or wearable technology
“REMOTE MENTOR” TECHNICAL ASSISTANCE
• Train remote personnel and keep them current with the latest knowledge and expertise
• Technical skills of on-site staff will grow organically as they learn from remote product specialists and gain a world-class experience
REMOTE TRAINING
• Drive timely problem resolution by connecting any number of resources needed to solve the problem, from wherever they are
• Reduce travel and time delay it would take to get the right skills on-site
ESCALATION ASSISTANCE
• Guided installation assistance for new products
• Troubleshooting assistance for new equipment
COMPLEX INSTALLATIONS
VRG ARsolution
Wearable“No Hands”
Remote AppSmartphone“One Hand”
Tablet“Two Hands”
DESIGNING A TELE-CRITICAL CARE NETWORK
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STANDALONE FIELD HOSPITALS – REQUIREMENTS
Network Connectivity
• Establish ISP• Wireless Hotspot• LAN – IT
equipment connectivity & To all healthcare staff connected to this field hospital
• WAN – To establish connectivity to regional hospital
Infrastructure
• Reliable Power• Portable Backup
Power• Just sufficient
and reliable cooling environment
• Fire Suppression
Security
• Restricted Access• Rugged
operating conditions
• Network access• Device
Management and onboarding
Data Gathering
• Frontend Devices - Mobile, Laptop, Cameras and Scanners
• Medical Devices• Backend –
Central Data Storing and Handling appliance
• Remote Desktop capability for front end device connectivity.
Storage
• Backup Data Store for any peripheral data (scanners / recorders)
• Ports for Direct connectivity to Servers
• Backup Server to sync the data
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Critical priority for the solution
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INFRASTRUCTURE GOALS
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Simple & Turnkey / Complete infrastructure
Reasonable Cost
Easily Deployable
• Transportable – Less than 100 kg
• Normal Household Power
• Only Fan Cooling
• Concurrently Maintainable
Scalable.
Secure
IOTConnectivity
ComputeStorage
COMPUTE / STORAGE
• Local compute will be needed to host the following applications as virtual machines:• Local workflow management and a cache to the central electronic
medical records system, in this case Cerner and AHLTA• Software to aggregate data from medical devices and provide a
dashboard as well as alerting and alarms, one VM per 100 patient beds
• 1 GB of data per patient bed per day (between 500MB – 1.5GB)• Potentially a small hyperconverged system may be used in this
scenario.
Local Compute and Storage for Tele-Critical Care Network
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FIELD HOSPITAL NETWORK ARCHITECTURE (5G, MPLS, INTERNET)
Internet
In-Hospital/Clinic/Ward 5G
Personnel
Mobility Apps
Various IoT/AnalogData Stream Sensors
Aruba
Aruba AP
vSATMEC (x86)
MEC
Aruba
FW
Edgeline/Proliant
X86 ServersPrimary
WAN
RTR
RTR
FW
BackupX86 Servers
Field Hospital
CISCO Remote Asset Management
MPLS
SDWAN
SDWAN
SDWAN
SDWAN
SDWAN
Aruba/ViptelaHeadends
Aruba/ViptelaHeadends
5G/LTE
FW
FW
FW
FW
PrimaryWAN Transport
BackupWAN Transport
AVPN Multiport
Managed WiFi-5G
IoT
Security5G & MEC
SD-WAN
Data Centers
Cloud Hubs
SDWAN
VoIP
NECCo/PoP
Place Holder 5G Detailed
“IoT”Edge Processing of data in motion
Applications & data on premises + cloud 21
High level simplified view for Smart Hospital/Clinic/WardAN END TO END DATA FABRIC PIPELINE
Data Science ToolchainsData Flow Design, Data Science Workbench, Model Management, Application Deployment
Business Systems
• Acquire events and data from sensors
• Queue, route and orchestrate data flow acrosssystems and geographies
• Cache and store data locally• Host and deploy container
based analytics• Apply rules and analytic
models
“Fast Data”Core Processing of data in motion
• Ingest event streams• Restructure and enrich
data in motion• Persist data for real time
usage and for offline analytics
• Apply rules and analyticmodels
Analytic Models
“Big Data”Analysis of data at rest
• Host a collocated data store for analytic data (data lake)
• Transform and restructure data for analysis
• Create aggregate data foranalytic systems
• Build rules and models using statistical and predictive analytics
• Prepare data for deep learning
“AI”Deep Learning/Machine Learning
• Train/build analytic models
• Test models
Applications & data on premises
• Understand core data requirements per patient bed and prepare a capacity model• Connectivity is critical. Prepare for multiple forms of remote connectivity• Security is critical. Protect endpoint devices, deployed infrastructure and data in motion• Leverage virtual remote guidance and augmented reality for medical personnel• Consider end to end data fabric for AI and analytics• Consider keeping raw telemetry for AI and analytics• Explore maturity and capabilities model (similar to EMRAM or INFRAM)• Assume field staff is not properly credentialed or trained• COVID-19 Publications Q&A• https://covid19.labs.hpe.com
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KEY TAKEAWAYS
YOUR ORGANIZATIONRECOVER, EVOLVE AND THRIVE
WE’RE HERETO HELP
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KEEPSAFE
ACCELERATE
HOPE
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EXPERTS & BOOTS ON THE GROUNDTO ENSURE YOUR BUSINESS CONTINUITY
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KEEP ITGOING
FINANCIAL FLEXIBILITY TO KEEPYOUR OPERATIONS MOVING FORWARD
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MOVEFORWARD
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EDGE-TO-CLOUD SOLUTIONS AND TECHNOLOGY TO HELP SOLVE YOUR MOST IMMEDIATE CHALLENGES AND DEMANDS
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SOLVECHALLENGES
PARTNERING WITH SCIENTIFIC COMMUNITY TO ACCELERATE COVID-19 RESEARCH
4ACCELERATERESEARCH
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THANK YOULaura [email protected]
Alexander Madama, [email protected]
HPE Discover Virtual Experience: https://www.hpe.com/us/en/discover.html
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We will continue to supportour team members, customers, partners and communities through this unprecedented period, and we will be there when all of our customers and stakeholders need us to recover, evolve and thrive.
