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(1)

Med-e-Tel 2015

Luxembourg, 22-24 april 2015.

Prof.Dr.O.Ferrer-Roca MD PhD

HFOG.

Small versus Big Data

Med-e-Te-2015. O.Ferrer-Roca.

(2)

Prof. Dr. O. Ferrer-Roca

Ings. D.Roca & M.Nemirowsky

CS. Rodolfo Milito

3718 m

Med-e-Te-2015. O.Ferrer-Roca. Luxembourg

R-Innov

3rd

Volcano

(3)

HEALTHCARE now a days

1.

“OWERWHELMED” HEALTHWORKERS

2.

SHORTAGE OF HEALTHWORKERS

3.

PATIENT INSATISFACTION

4.

“FLAWS” LINKED TO BAD-DESIGNED DIGITAL HEALTH

5.

NO FUTURE IF WEARABLES PERSONAL DATA IF CONTROL BY DOCTORS.

6.

NO PROVISION FOR HCSP = HUMAN CYBER PHYSICAL SYSTEMS

Med-e-Te-2015. O.Ferrer-Roca.

(4)

Owerwhelmed

Med-e-Te-2015. O.Ferrer-Roca.

Luxembourg

(5)

Patients insatisfaction

TIME-SPEND drastically reduced. Lack personal

relationships and confidence.

d2p

EHRs-MACHINE DIAGNOSIS 

p2p

PERVERSE CARE FLOW: Doctors/specialists

d2d

communication Machine analysis/exploration

Ma/e

appointment  wait 

Ma/e

appointment  

visit

one by one

specialist

appointment  

prescription (non-coordinated)  cross-effects.

Med-e-Te-2015. O.Ferrer-Roca.

Luxembourg

(6)

“Flaws” in the EHRs

1.

EHRs are not build by doctors

e-Health & Telemedicine no in carrier

2.

No

AI selflearning

nodes in EHRs.

3.

Rigid &

not adaptable

to circunstance.

4.

Updating is complex

since the majority are not in the Cloud.

5.

Erroneous security that

destroy the “common sense”

of health workers

6.

Interfere face-to-face

discussion with patients.

Med-e-Te-2015. O.Ferrer-Roca.

(7)

PATIENT AUTONOMOUS

Med-e-Te-2015. O.Ferrer-Roca. Luxembourg

PATIENT CONNECTED

with

HEALTH PROVIDER & MDs ???

vs

(8)

SMALL DATA = user data

OWNER

: The patient. Must control of

WHAT

is shared, with

WHOM

, for what

PURPOSE

, for

HOW LONG

.

ORIGIN

: Devices (medical or not) connected to Internet as part of the

IoT

(Internet of the Things).

WEARABLES

.

ROLE

: Provide information to supports data of interest conductive to a

HEALTHY

LIFE

.

Med-e-Te-2015. O.Ferrer-Roca.

(9)

Luminic contamination

Streaming data

Med-e-Te-2015. O.Ferrer-Roca.

(10)

Sea of clouds prevent thermic aberrations.

Med-e-Te-2015. O.Ferrer-Roca.

(11)

“Milky way” without distorsion

Because THE FOG is there.

Med-e-Te-2015. O.Ferrer-Roca.

(12)

VALUE-BASED-HEALTHCARE (VBH)

Med-e-Te-2015. O.Ferrer-Roca. Luxembourg

H2H

H-CPSs

(13)

HUMANIZATION OF HEALTH CARE

®

1.-

PERSONAL RELATIONSHIPS

PHAs = Personal Health Assistant

PHRs = Personal Health Robot

2.-

INTEGRATED DEVICES- HEALTHY LIFE

3.-

LOW MEDICATION

POSSIBLE- ASSURE ADHERANCE

Med-e-Te-2015. O.Ferrer-Roca.

(14)

A Lot Of Tapping, Not Much

Action

Med-e-Te-2015. O.Ferrer-Roca.

(15)

HEALTH 4.0

Med-e-Te-2015. O.Ferrer-Roca.

(16)

Small Data in The Fog

Med-e-Te-2015. O.Ferrer-Roca.

Luxembourg

BIG DATA

SMALL DATA

Belongs to

Government/State Individuals/Patient

Anonymized

YES NO

Encrypted

NO YES

Processed

in

The Cloud

The Fog

Response

Months / Years

Minutes / On time

Obtained

from

Institutions/EHRs

Sensors / At home

/ PHR

a

Processed

by

DB tools-DBaaS

Parallel

C/e-Agents

Stored

By

Govern/Distributed

By Individuals/

PHAs

Useful

for Decision

makers

for Individuals

(17)

Pool of Nurses

Med-e-Te-2015. O.Ferrer-Roca. Luxembourg

YOUR PHA

Highly qualify

24/7 for you

Know you

Support @ distance

Administrative help

Acompany you

Coach you

Help you

Talk your language

Visit you with HPRs

PHA

DECISIONS TREES - Protocols School Nurses

Marchovian trees.

(18)

e-PHAs

Behind The HFOG

Med-e-Te-2015. O.Ferrer-Roca.

(19)

Smart-agents app level FOG

Med-e-Te-2015. O.Ferrer-Roca. Luxembourg

BACK-END

AGENT

AGENT

SENSOR

AGENT

AGENT

AGENT

SENSOR

SENSOR

AGENT

AGENT

ACTUATOR

PHA

USER

PROTOCOLS &

POLICIES

PROCESSING

STREAM-REAL-TIME

PARALLEL

PROCESSING

DISTRUBUTED

COMPUTING

LEARNING

MACHINE

Small

Data

nurses

(20)

SMALL Data

1.

Received in

STREAMING

.

2.

PROCESSED in

The FOG

on time.

3.

NEVER STORED

4.

STORED when:

a)

In the FOG the ePHAs detect an alarm event that is sent to the PHA.

b)

If the user wants to store it. Max storage period  1 week.

5.

ALARM EVENT PROCESSING:

a)

The PHA call the HPR to talk face-to-face with the user.

b)

The PHA process the data to coach the user in a precise moment.

c)

Both.

d)

Inform MDs if it is required

e)

Start administrative issues or ambulance call/emergency call.

Med-e-Te-2015. O.Ferrer-Roca.

(21)

Health Fog = HFog

AT THE EDGE OF THE NETWORK COLLECTING

PERSONAL HEALTH SMALL

DATA

(pHSD) FROM USERs.

Med-e-Te-2015. O.Ferrer-Roca.

(22)

Global health 2035: a world converging within a generation. The Lancet,

Volume 382, Issue 9908

, Pages 1898 - 1955, 7 December 2013

Med-e-Te-2015. O.Ferrer-Roca.

(23)

www.teide.net/catai

catai@teide.net

THANKS.

Med-e-Te-2015. O.Ferrer-Roca. Luxembourg http://www.huffingtonpost.es/2014/10/04/animales-simen-johan_n_5913474.html

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