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Small data. THE FOG. IoT. Iiki2014

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Unesco Telemedicine
Unesco Telemedicine

This document discusses the concepts of small data and the fog in healthcare. It proposes a model where individual patient data (small data) is processed and analyzed locally in the fog instead of being sent to the cloud. This localized processing would allow for real-time responses and personalized care through the use of personal health assistants and robots. The document advocates for this approach as a way to humanize healthcare by strengthening personal relationships and enabling integrated devices to support healthy living.

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IIKI2014 BEIJING National Univ. Prof.Dr.O.Ferrer-Roca Gaofen-2, China's most advanced satelliteTheFOG IIKI2014-Beijing-O.Ferrer-Roca
Small & BIG data. THE FOG Thesea of clouds IIKI2014-Beijing-O.Ferrer-Roca
Prof. Dr. O. Ferrer-Roca Ing. Ruben TousCS. Rodolfo Milito 3718 m IIKI2014-Beijing-O.Ferrer-Roca R-Innov 3rd Volcano
SMALL DATA=patientdata OWNER: The patient. Must control of WHATis 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) ROLE: Provide information to supports data of interest conductive to a HEALTHY LIFE. IIKI2014-Beijing-O.Ferrer-Roca
Owerhelmed IIKI2014-Beijing-O.Ferrer-Roca Theepidemicsof phyciansburnout isheartbreaking
Patientsinsatisfaction •TIME-SPEND drasticallyreduced. Lackpersonal relationshipsand confidence. ∄d2p •EHRs-MACHINE DIAGNOSIS ∄p2p •PERVERSE CARE FLOW: Doctors/specialists∄d2d communicationMachine analysis/explorationMa/e  appointmentwait∅Ma/eappointment∅ visitonebyonespecialist1푏푦1appointment∅ prescription(non-coordinated)=cross-effects. ∝×∎ IIKI2014-Beijing-O.Ferrer-Roca ECUATION = ∄d2p,∄p2p,∄d2d,Ma/e,∅,Ma/e,∅,1푏푦1,∅=∝×∎
“Flaws” in theEHRs1.EHRs are not build by doctors e-Health & Telemedicine no in carrier 2.No AI selflearningnodes in EHRs. 3.Rigid & not adaptableto circunstance. 4.Updating is complexsince the majority are not in the Cloud. 5.Erroneous security that destroy the “common sense” of health workers6.Interfere face-to-face discussion with patients. IIKI2014-Beijing-O.Ferrer-Roca
•PATIENT AUTONOMOUS IIKI2014-Beijing-O.Ferrer-Roca PATIENT CONNECTED with HEALTH PROVIDER & MDs??? vs
Luminiccontamination Streamingdata IIKI2014-Beijing-O.Ferrer-Roca
Sea of cloudspreventthermicaberrations. IIKI2014-Beijing-O.Ferrer-Roca
“Milkyway” withoutdistorsion BecauseTHE FOG isthere. IIKI2014-Beijing-O.Ferrer-Roca
HUMANIZATION OF HEALTH CARE ® •1.-PERSONAL RELATIONSHIPS PHAs= Personal Health Assistant PHRs= Personal Health Robot •2.-INTEGRATED DEVICES-HEALTHY LIFE •3.-LOW MEDICATIONPOSSIBLE-ASSURE ADHERANCE IIKI2014-Beijing-O.Ferrer-Roca
A Lot Of Tapping, Not Much Action IIKI2014-Beijing-O.Ferrer-Roca
HEALTH 4.0 IIKI2014-Beijing-O.Ferrer-Roca
Health 4.0 IIKI2014-Beijing-O.Ferrer-Roca https://www.youtube.com/watch?v=BrtGSEwfIJY
SPIRE •Power and beauty. •A patent-pending sensor, 7-axes of streaming data, and wireless charging. With years of research, we've packed it all into a tiny sealed stone. •Spire monitors and analyzes your breathing patterns in real time to show when you are focused, tense, or frazzled. •Streaming data. •Real-time data to the cloud (using Bluetooth Low Energy) enable richer and more responsive contextual feedback. IIKI2014-Beijing-O.Ferrer-Roca
Small Data in The Fog IIKI2014-Beijing-O.Ferrer-Roca 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 / PHRa Processed by DB tools-DBaaS Parallel C/e- Agents Stored By Govern/Distributed By Individuals/ PHAs Useful for Decision makers for Individuals Catch the cloud & bring it closer to you
Pool of Nurses IIKI2014-Beijing-O.Ferrer-Roca YOUR PHA •Highlyqualify •24/7 foryou •Knowyou •Support@ distance •Administrativehelp •Acompanyyou •Coach you •Helpyou •Talkyourlanguage •VisityouwithHPRs PHA DECISIONS TREES -ProtocolsSchoolNurses •Marchoviantrees. •Bayesiantrees.
e-PHAs •BehindTheFOG IIKI2014-Beijing-O.Ferrer-Roca
Smart-agentsapp level FOG IIKI2014-Beijing-O.Ferrer-Roca BACK-END AGENT AGENT SENSOR AGENT AGENT AGENT SENSOR SENSOR AGENT AGENT ACTUATOR PHA USER PROTOCOLS & POLICIES STREAM- PROCESSING REAL-TIME PARALLEL PROCESSING DISTRUBUTED COMPUTING MACHINE LEARNING Small Data nurses Fogwithfabricswitches.
SMALL Data 1.Receivedin STREAMING. 2.PROCESSED in TheFOG ontime. 3.NEVER STORED 4.STORED when: a)In theFOG theePHAsdetectanalarmeventthatissentto thePHA. b)Iftheuserwantsto store it. Max storageperiod1 week. 5.ALARM EVENT PROCESSING: a)ThePHA calltheHPR to talkface-to-facewiththeuser. b)ThePHA processthedata to coach theuserin a precise moment. c)Both. d)InformMDsifitisrequired e)Startadministrativeissuesorambulancecall/emergencycall. IIKI2014-Beijing-O.Ferrer-Roca
Global health 2035: a world converging within a generation. The Lancet, Volume 382, Issue 9908, Pages 1898 -1955, 7 December 2013 IIKI2014-Beijing-O.Ferrer-Roca
www.teide.net/cataicatai@teide.net THANKS. IIKI2014-Beijing-O.Ferrer-Roca http://www.huffingtonpost.es/2014/10/04/animales-simen-johan_n_5913474.html

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Small data. THE FOG. IoT. Iiki2014

  • 1. IIKI2014 BEIJING National Univ. Prof.Dr.O.Ferrer-Roca Gaofen-2, China's most advanced satelliteTheFOG IIKI2014-Beijing-O.Ferrer-Roca
  • 2. Small & BIG data. THE FOG Thesea of clouds IIKI2014-Beijing-O.Ferrer-Roca
  • 3. Prof. Dr. O. Ferrer-Roca Ing. Ruben TousCS. Rodolfo Milito 3718 m IIKI2014-Beijing-O.Ferrer-Roca R-Innov 3rd Volcano
  • 4. SMALL DATA=patientdata OWNER: The patient. Must control of WHATis 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) ROLE: Provide information to supports data of interest conductive to a HEALTHY LIFE. IIKI2014-Beijing-O.Ferrer-Roca
  • 6. Patientsinsatisfaction •TIME-SPEND drasticallyreduced. Lackpersonal relationshipsand confidence. ∄d2p •EHRs-MACHINE DIAGNOSIS ∄p2p •PERVERSE CARE FLOW: Doctors/specialists∄d2d communicationMachine analysis/explorationMa/e  appointmentwait∅Ma/eappointment∅ visitonebyonespecialist1푏푦1appointment∅ prescription(non-coordinated)=cross-effects. ∝×∎ IIKI2014-Beijing-O.Ferrer-Roca ECUATION = ∄d2p,∄p2p,∄d2d,Ma/e,∅,Ma/e,∅,1푏푦1,∅=∝×∎
  • 7. “Flaws” in theEHRs1.EHRs are not build by doctors e-Health & Telemedicine no in carrier 2.No AI selflearningnodes in EHRs. 3.Rigid & not adaptableto circunstance. 4.Updating is complexsince the majority are not in the Cloud. 5.Erroneous security that destroy the “common sense” of health workers6.Interfere face-to-face discussion with patients. IIKI2014-Beijing-O.Ferrer-Roca
  • 8. •PATIENT AUTONOMOUS IIKI2014-Beijing-O.Ferrer-Roca PATIENT CONNECTED with HEALTH PROVIDER & MDs??? vs
  • 10. Sea of cloudspreventthermicaberrations. IIKI2014-Beijing-O.Ferrer-Roca
  • 11. “Milkyway” withoutdistorsion BecauseTHE FOG isthere. IIKI2014-Beijing-O.Ferrer-Roca
  • 12. HUMANIZATION OF HEALTH CARE ® •1.-PERSONAL RELATIONSHIPS PHAs= Personal Health Assistant PHRs= Personal Health Robot •2.-INTEGRATED DEVICES-HEALTHY LIFE •3.-LOW MEDICATIONPOSSIBLE-ASSURE ADHERANCE IIKI2014-Beijing-O.Ferrer-Roca
  • 13. A Lot Of Tapping, Not Much Action IIKI2014-Beijing-O.Ferrer-Roca
  • 15. Health 4.0 IIKI2014-Beijing-O.Ferrer-Roca https://www.youtube.com/watch?v=BrtGSEwfIJY
  • 16. SPIRE •Power and beauty. •A patent-pending sensor, 7-axes of streaming data, and wireless charging. With years of research, we've packed it all into a tiny sealed stone. •Spire monitors and analyzes your breathing patterns in real time to show when you are focused, tense, or frazzled. •Streaming data. •Real-time data to the cloud (using Bluetooth Low Energy) enable richer and more responsive contextual feedback. IIKI2014-Beijing-O.Ferrer-Roca
  • 17. Small Data in The Fog IIKI2014-Beijing-O.Ferrer-Roca 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 / PHRa Processed by DB tools-DBaaS Parallel C/e- Agents Stored By Govern/Distributed By Individuals/ PHAs Useful for Decision makers for Individuals Catch the cloud & bring it closer to you
  • 18. Pool of Nurses IIKI2014-Beijing-O.Ferrer-Roca YOUR PHA •Highlyqualify •24/7 foryou •Knowyou •Support@ distance •Administrativehelp •Acompanyyou •Coach you •Helpyou •Talkyourlanguage •VisityouwithHPRs PHA DECISIONS TREES -ProtocolsSchoolNurses •Marchoviantrees. •Bayesiantrees.
  • 20. Smart-agentsapp level FOG IIKI2014-Beijing-O.Ferrer-Roca BACK-END AGENT AGENT SENSOR AGENT AGENT AGENT SENSOR SENSOR AGENT AGENT ACTUATOR PHA USER PROTOCOLS & POLICIES STREAM- PROCESSING REAL-TIME PARALLEL PROCESSING DISTRUBUTED COMPUTING MACHINE LEARNING Small Data nurses Fogwithfabricswitches.
  • 21. SMALL Data 1.Receivedin STREAMING. 2.PROCESSED in TheFOG ontime. 3.NEVER STORED 4.STORED when: a)In theFOG theePHAsdetectanalarmeventthatissentto thePHA. b)Iftheuserwantsto store it. Max storageperiod1 week. 5.ALARM EVENT PROCESSING: a)ThePHA calltheHPR to talkface-to-facewiththeuser. b)ThePHA processthedata to coach theuserin a precise moment. c)Both. d)InformMDsifitisrequired e)Startadministrativeissuesorambulancecall/emergencycall. IIKI2014-Beijing-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 IIKI2014-Beijing-O.Ferrer-Roca
  • 23. www.teide.net/cataicatai@teide.net THANKS. IIKI2014-Beijing-O.Ferrer-Roca http://www.huffingtonpost.es/2014/10/04/animales-simen-johan_n_5913474.html