healthcare iot and analytics to treat parkinsons
TRANSCRIPT
December 6-8, 2015 • Dubai, United Arab Emirates
Rick Cnossen, Intel Global Director- Healthcare
Transforming Healthcare with IoT
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Intel's Vision
This decade we will create and extend computing technology to connect and enrich the lives of every person on earth
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What’s Driving IoT in Healthcare?
Pay for Outcome
Wellness Programs
Reduce Cost of Chronic Care Reduce Readmissions
Patient Incentives Clinical Trials
Objective
Evaluate consumer perceptions
of technology innovations and
various ways that it is expected
to impact daily life.
Methodology
Penn Schoen Berland conducted
a quantitative poll with over
12,000 interviews, spanning
8 countries in Q3, 2013.
Intel Global Innovation Survey
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Intel Global Innovation Survey
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Intel Global Innovation Survey
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How It All Started?
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Big data analytics
IOT
Parkinson’s Disease
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OVER AGE 0F 60
1/100 60,000 NEW
1M/US
5M/WORLD
NO CURE, MEDICATION ONLY HELPS WITH
SYMPTOMS There is
NO TEST and no
PROGRESSION MARKER
PARKINSON’S DISEASE IS CAUSED BY THE DEATH OF DOPAMINE CELLS.
OF THESE CELLS ARE ALREADY LOST BY THE TIME MOTOR SYMPTOMS APPEAR.
60
80%
TO
HOW?
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Please raise your hand, if you can articulate how you have felt in the last
12 months in comparison to the previous year.
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You can't Manage
what you can't Measure
The Solution
Wear a watch Start an application
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Use Cases
MANAGE THE DISEASE USING DATA
FREE DATA FOR 1000’S OF PATIENTS
ACCURATE REPORT SINCE LAST VISIT
MEASURE MEDICATION EFFECT
RESEARCHER
PHARMACEUTICAL
CLINICIAN
BIG DATA CLOUD ANALYTICS
INSIGHT / VALUE
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THE APPLICATION
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Medication reporting & reminders
Questions per cohort
Symptoms tracking
OTHER Gamification
Contribution score
Medication / Protocol
Adherence Metronome
Gait Sleep
Tremor
Activity Level
Controlled Tests
Services: Data collection & Patient engagement
OBJECTIVE MEASURES
PATIENT REPORTED
Medication Reminders
Medication / Symptoms tracking
Questions per trail
Activity Level
• Continuously describe the intensity of the patient’s activity throughout the day alongside the medication reporting.
• Motivates the patients to be more active (known to be important for PD patients)
• Personalized measure based on their average activity (avoid frustration)
• Based on intensity measurement from the accelerometer
• Filters out tremor 17
Tremor
• Tremor is detectable using signal processing techniques
• Algorithm is based on tremor frequencies of 3.5Hz-11Hz according to literature review
• Tremor episodes are detected based on the frequency, duration and intensity of the periodic movement
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Night Time Movement Tracking
• Most PD patients suffer from some sleep disorder and some have PD symptoms during the night
• Provide patients with movement analysis during the night
• Report on Low ,Medium and High activity periods during the night will allow the patients to better plan their sleep and wake up times as well as their medications
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Structured Tests
BIG-DATA Analytics
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Wearable Cloud Analytics Framework
Cloud Infrastructure
Data Platform
Analytics Platform
Downstream Export
Analysis & Mining tools
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• Self reported – Questions, Feedbacks, Medication reporting • Structured tests – Gait, Alternating hand movement • 24/7 analyzed data– Activity, Tremor, Sleep
Analytics
CLINICAL TRIALS
Create and Validate Algorithm & Measures
POPULATION STUDY
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Generate insights Using Big data analytics
SERVICE LAYER
BATCH LAYER
STREAM ANALYICS LAYER
INGESTION LAYER
STORAGE LAYER
USER INTERFACE LAYER
Mosquitto
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CLOUD COMPUTING SERVICES
Domain Specific General Purpose
Challenges To Address
NO OBJECTIVE MEASURE
3-6 MONTHS BETWEEN PHYSICIAN VISITS
CHANGES ARE SLOW AND HARD TO DETECT
AVERAGE TRIAL SIZE
< 100 PATIENTS
VERY SMALL number of patients contribute to research
COST OF TRIALS are in the scales of
$M
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© 2015 Cisco and/or its affiliates. All rights reserved. 26
Intel Healthcare Wearable Video Link
© 2015 Cisco and/or its affiliates. All rights reserved. 27
Intel Across Healthcare: Learn More
www.intel.com/healthcare [email protected]
Policy and Standards
Mobile Healthcare Care Coordination Secure Cloud Devices and Imaging
Performance Big Data Aging
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Notice and Disclaimers
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