How To Get A Better Health Care System

Size: px

Start display at page:

Download "How To Get A Better Health Care System"

Jeffery Allison
3 years ago
Views:

1 HFOG. Small versus Big Data Med-e-Tel 2015 Luxembourg, april Prof.Dr.O.Ferrer-Roca MD PhD

2 3rd Volcano R-Innov Prof. Dr. O. Ferrer-Roca Ings. D.Roca & M.Nemirowsky CS. Rodolfo Milito 3718 m

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

FLAWS LINKED TO BAD-DESIGNED DIGITAL HEALTH 5.

4 Owerwhelmed The epidemics of phycians burnout is heartbreaking

5 Patients insatisfaction ECUATION = d2p, p2p, d2d, Ma/e,, Ma/e,, 1 1, 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.

d2p EHRs-MACHINE DIAGNOSIS p2p PERVERSE CARE FLOW: Doctors/specialists d2d communication Machine

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.

No AI selflearning nodes in EHRs. 3. Rigid & not adaptable to circunstance. 4.

7 PATIENT CONNECTED with HEALTH PROVIDER & MDs??? vs PATIENT AUTONOMOUS

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.

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

9 Luminic contamination Streaming data

10 Sea of clouds prevent thermic aberrations.

11 Milky way without distorsion Because THE FOG is there.

12 VALUE-BASED-HEALTHCARE (VBH) H-CPSs H2H

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

14 A Lot Of Tapping, Not Much Action

15 HEALTH 4.0

16 Small Data in The Fog BIG DATA SMALL DATA Belongs to Government/State Individuals/Patient Anonymized YES NO Encrypted NO YES Processed The Cloud The Fog in 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 By Individuals/ Useful Govern/Distributed for Decision makers PHAs for Individuals Catch the cloud & bring it closer to you

Institutions/EHRs Sensors / At home / PHR a Processed by DB tools-dbaas Parallel C/e- Agents Stored By By

17 Pool of Nurses PHA DECISIONS TREES - Protocols School Nurses Marchovian trees. Bayesian trees. YOUR PHA Highly qualify 24/7 for you Know you distance Administrative help Acompany you Coach you Help you Talk your language Visit you with HPRs

YOUR PHA Highly qualify 24/7 for you Know you Support @

18 e-phas Behind The HFOG

19 Smart-agents app level FOG HFog with fabric switches. AGENT SENSOR AGENT AGENT ACTUATOR SENSOR SENSOR Small Data nurses AGENT PROTOCOLS & POLICIES REAL-TIME AGENT AGENT BACK-END PARALLEL PROCESSING DISTRUBUTED COMPUTING AGENT STREAM- PROCESSING MACHINE LEARNING PHA USER

AGENT PROTOCOLS & POLICIES REAL-TIME AGENT AGENT BACK-END PARALLEL

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.

Max storage period 1 week. 5. ALARM EVENT PROCESSING: a) The PHA call the HPR to talk face-to-face with the user.

21 Health Fog = HFog AT THE EDGE OF THE NETWORK COLLECTING PERSONAL HEALTH SMALL DATA (phsd) FROM USERs.

22 Global health 2035: a world converging within a generation. The Lancet, Volume 382, Issue 9908, Pages , 7 December 2013

23 THANKS.

Enterprise Application Enablement for the Internet of Things

Enterprise Application Enablement for the Internet of Things Prof. Dr. Uwe Kubach VP Internet of Things Platform, P&I Technology, SAP SE Public Internet of Things (IoT) Trends 12 50 bn 40 50 % Devices