Iotswc2016 - Microsoft - Healthcare track - lombardi - KHARE
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Transcript of Iotswc2016 - Microsoft - Healthcare track - lombardi - KHARE
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Mirror Neurons
and Human Telemetry
for Rehabilitation
ALESSANDRO LOMBARDI, DIGITAL ADVISOR | ITALY
KHARE
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THE
TEA
M
2
The team: Microsoft
Microsoft enables health sector’s digital transformation by
helping care organizations better engage patients, empower
care teams, optimize clinical and operational effectiveness, and
transform the care continuum.
Alessandro
Lombardi
Digital Advisor
Luca
di Biagio
Solution Architect
Paolo
Mele
Sr Consultant
Pedro
Fortes
Sr Consultant
Saverio
Guardato
Consultant
Roberto
Robustelli
Delivery Manager
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THE
TEA
M
3
The team: INAIL
Crucial for them to help people get back to work as soon as
possible
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THE
TEA
M
4
The team: University of Parma
Mirror neuron discovery and continued research
20141995
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How it all began
5
The “innovation hack”
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“What a piece of work is a man! How noble in reason, how
infinite in faculty! In form and moving how express and
admirable!” - William Shakespeare
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Meet Gotz:he got hurt
Happiness
Reassurance
Hope
Fear
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Meet Hans:he is Gotz doctor
Happiness
Empowered
Givespersonalized
care
Unfulfilled
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Meet the real Gotz
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10
What is KHARE?
TechnologyNeuroscience
Medical expertise
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• Average decrease of healing
times and increased movement
functionality; movements quality,
from the most approximate to the
most refined ones, for the normal
daily activities through the ones
needed for working.
• Increased number of
rehabilitations services that are
distributable by a single health
structure and subsequent costs
reduction for the patients and the
healthcare system.
• Patients and helpers satisfaction;
mainly because of the rehab
treatment continuum, given by the
relationship between the patient
and the health structure that
initially took the patient,
rehabilitation is also obtained with
the right psychological
contribution.
What are the advantagesof KHARE?
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“Knowledge should be seen as
networked communication.” - Esko Kilpi
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EmpathyTrigger of
mirror neurons
AOTProximal approach
13
The SCIENCE factor
Thevideo
stimulusIntensity
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Humantelemetry
Predictivehuman
telemetry
14
Definitionsof indicators
The TECH factor
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15
The HUMAN factor
INAIL CRM Volterra
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16
KHARE as a platform
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“All our dreams can come
true, if we have the courage to
pursue them.” - Walt Disney
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COLLECTdata from the patients while they
are executing their physical
therapy exercises
TRANSFORMdata into a
standardized format
MANAGEdata as real-time streams and
store as relational or non-
relational datasets
in the cloud
ANALYZEand predict with machine
learning and custom
queries and algorithms
VISUALIZEthrough
dashboards, reports
to easily study data
DECIDEThe doctors
will be able
to increase the
therapies effectiveness
IOT HUB
Stream analytics
Azure StorageEvent
HUB
Api AppMachine Learning
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• Windows 8.1 app (Kinect SDK)
• Event Hub to collect data from Kinect in real time
• Table storage
• Integration with Microsoft Band
• Measure angles and distances between joints
• Create complex exercises
• Measure quality
App
Features
The proof of concept, scope
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The proof of concept, data sheet
Input ValuesAverage message size every
secondNumber of captured Joints
Average length of rehabsession (active time)
45.000 bytes 25 30 minutes
Average data size per rehabsession
Average data size per hour Therapy length
81 MB 162 MB 20 sessions per patient
Information per year
Number of expected patients Total sessions Total ingested data
50.000 1 M 81 TB
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23
Moving on with INAIL
Medical Experimentation set up (2016)
DCOD (IT) department focuses on building a
Minimum Viable Product to be used in
experimentation
Rehabilitation department finalizes the new
medical protocol for AOT with Parma
Video preparation
Medical Experimentation (2017)
CRM Volterra starts experimentation
according to the new protocol on a controlled
group with the support of Parma
Technological POC
Envisioning
ForumPA divulgation
Analysis and design
Implementation and release
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“Empower every
person and every
organization on the
planet to achieve
more.” - Satya Nadella
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Next goal: extending telemetry
Measuring strength and fine finger detection
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Human telemetry: going beyond rehab.
Empowering every human to improve performances and
learn new skills