Internet of medical things & trusted meta data - Shiv Ramamurthi, ARM - TFSS
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Transcript of Internet of medical things & trusted meta data - Shiv Ramamurthi, ARM - TFSS
Shiv Ramamurthi
Internet of Medical Things and Trusted MetaData
TFSS 2016, San Jose
Dec 2nd , 2016
Director Healthcare Technology, ARM
© ARM 2016 2
Chronic Ilnesses
Rising + Aging
population 2020
Chronic
Diseases
¾ of deaths*
* Source: World health organization
$3.2 Trillion
spent on
healthcare in
US **
**Source: NHE (National Health Expenditure)
Above 65 yr
40 mil in
2010 to
88 million in
2050 ***
***Source: US Census
© ARM 2016 3
When it comes to health we typically only see the tip
3
Emergency Room Annual Exam
Flu Shot @ Work Illness Visit
Medication Working
BP under control
Resting Heartrate
Sleep Quality?
Regular Exercise?
Weight Control
Glucose under control
Timing interim visits to Doctor
Heart Function
© ARM 2016 4
By 2020 there will be have been 1.15
Billion connected health & fitness devices
cumulatively shipped
Source: Gartner IoT Device Forecast
© ARM 2016 5
Tsunami of connected medical devices coming
© ARM 2016 6
Telemedicine to the rescue
Traditional – FTF Care Telehealth via video &
phone 80% efficacy
for common ailments*
Add Remote Monitoring &
Diagnostics 95%+ efficacy
for common ailments*
Dir
ect
Clin
ical
Car
e
Clinical
Dash boarding for
managing patient
populations
*Source: Dr. Dan Davis, CEO Healthcare Interactive Care technologies
45%
37%
18%
TAM: $32.4B $305B
SAVINGS
Remote Monitoring Telehealth Behavioral Modification
** Source: Goldman Sachs
© ARM 2016 7
How can better security provide a better user experience?
Security done well provides the foundations
For services, capabilities and user experiences:
Can I view my health records on my mobile device?
Can I pay my medical bills with a swipe of a finger?
Can I message my doctor about health problems?
Can I get the same quality care from my Doctor remotely
as I can in-person for common health issues?
© ARM 2016 8
In 5 years there will be more data outside EHR than in it
Clinical Observations
EHR Data
Patient Generated Data: Physiological & Psycho-social
(2314 Exabyte's in 2020)
Historical diagnosis, labs,
EMRs, imaging, radiology
and billing codes
Blood pressure, heart
rate, weight,
temperature, chief
complaint
Physiological
• Biometrics (BP, BG, Spo2..)
• Environment (air, water,
food, exercise...)
Psycho-Social
• Pain
• Emotion
• Energy
Doctor’s observations and
thoughts
Trusted MetaData is the new Oil,
Blood Pressure
Timestamp
Frequency
DeviceID
Device Position
Authentication
© ARM 2016 10
Pre-Requisites for acquiring remote medical data
Sensors
Care Giver
Phone
Gateway
Elderly Monitoring Wellness
3. Consent to
share
1. Application layer
encryption
2. Patient
Identity
© ARM 2016 11