Munich Use Cases FiStar (Fi-PPP) Mobility and Health

Transcription

1 Munich Use Cases FiStar (Fi-PPP) Mobility and Health Thomas Jell, Infrastructure & Cities, Mobility & Logistics Technologies and Innovations.

2 The Future Internet Public-Private Partnership (FI-PPP) The aim of the FI-PPP is to place Europe in the best position to capture new opportunities in the Future Internet, derived from digitalization of economy sectors Transport, Mobility and Logistics tourism e-government This requires creating an generic, open and standard platform (FI-WARE) and meeting point (FI-LAB) around which a dynamic innovation ecosystem can be created engaging developers and entrepreneurs Smart Energy Grid ehealth EC provides half of the funding: Industry driven, major industry players involved Pan-european dimension Open APIs for Open Minds

3 Munich Use Cases Thomas Jell Jan Kätker Claudia Baumgartner Armin Schneider Christoph Thümmler Program Manager Siemens AG IC MOL TI Bereichsleiter Mobilitätsdienste VMZ Berlin Scientific Head Research Group MITI Klinikum R.d.Isar Professor for e-health at Edinburgh Napier University Professor Technische Universität München Betreiber GmbH Page 3

4 FiStar Pilot Scenarios Munich 1 Szenario 1: Patient Security, Workflow Management in the Operation theatre and Patient flow analysis Picture: Klinikum R.d.Isar, MITI Page 4

5 FiStar Pilot Scenarios Munich Szenario 2: Ambient Assisted Living Emergency recognition and Mobility Services Picture: Fraunhofer IIS Page 5

6 Scenario 1: Goal Workflow Management Operation theatre and Patient flow analysis 1. Patient Security: detection of irregularities à automatic initiation of important next steps Page 6

7 Page 7

8 Klinikum Rechts der Isar, MITI Sponge Counting Page 8

9 Scenario 1: Goal Workflow Management Operation theatre and Patient flow analysis 1. Patient Security: detection of irregularities à automatic initiation of important next steps 2. Improvement of logistics On-time call of the next patient, reduction of waiting times for diagnostics, exact documentation (and if necessary re-ordering) of consumables, etc. Page 9

10 Scenario 1: Goal Workflow Management Operation theatre and Patient flow analysis 1. Patient Security: detection of irregularities à automatic initiation of important next steps 2. Improvement of logistics On-time call of the next patient, reduction of waiting times for diagnostics, exact documentation (and if necessary re-ordering) of consumables, etc. 3. Solo-Surgery Use of partly autonomous systems Improvement of the safety net" Early call of additional assistance (Photo: Purdue University) Page 10

11 Scenario 1: Goal Workflow Management Operation theatre and Patient flow analysis 1. Patient Security: detection of irregularities à automatic initiation of important next steps 2. Improvement of logistics On-time call of the next patient, exact documentation (and if necessary reordering) of consumables, etc. 3. Solo-Surgery Use of partly autonomous systems Improvement of the safety net" Early call of additional assistance 4. Automation of documentation Page 11

12 Google Health Page 12

13 Microsoft Health Vault Page 13

14 Warum klappt das nicht Page 14

15 Munich Platform Hybrid Cloud Architecture Overview Moderate security for extracted user profile and user entered data (mobility profile) in the public cloud Highest Security for patient data in the private cloud at the clinical institutes Software to Data: Munich: Hybrid Cloud Architecture Page 15

16 FiStar Pilot Scenarios Munich 2 Provide people with mobility constraints with travel information that suit their mobility and travel requirements temporary constraints permanent constraints Provide service via a Smartphone-App Page 16

17 Test site Munich Transport Network Public transport Private transport Page 17

18 What does it take? Mobility profiles extracted from medical data Real time information on traffic (private and public transportation) Weather data Data on accessibility of transport means for people with mobility constraints Page 18

19 Mobility Advisor for Patients Output User specific trip and route information for persons with mobility constraints Monitoring of routes and trips Tracking of persons during travel Technology Multimodal routing services Smartphone - App Challenge Translation of medical indication / mobility constraints in route recommendation Availability and quality of data base on transport infrastructure accessible for disabled persons Page 19

20 Mobility Advisor for Patients - Overview Page 20

21 Mobility Advisor for Patients - Use cases Doctor s letter WP2 1 SE Appointment Management 2 SE Mobility Private Cloud Dates for clinical and radiological post surgery examinations, Tel-Nr., addresses of hospital and doctors Temporary and permanent mobility constraints WP3 Public Cloud Calender Contacts / Addresses Mobility Profile Preferences (e.g. max. dist., car yes / no) WP4 WP3 Mobility Advisor Specific enabler (SE) Mobility Advisor (Routing, Trip monitoring, technical disruptions, weather, ) IMR (Intermod al Route planer) 1 2 Appointment management translation of medical data into mobility constraints WP4 APP Page 21

22 Use Case Diagram Munich Use Case II Page 22

23 Acknowledgment The work was (and is) partially founded by 1) Aktiver Schutz von Patientendaten in mobilen e-health Clouds Tom Pfeifer Next Generation Networks 18. VDE/ITG Fachtagung Mobilkommunikation 2) Page 23

24 Further Information Find me on LinkedIn, Xing and others SmailThomas Jell, IC MOL TI D Munich, Otto-Hahn-Ring 6 Tel.: Mobile: Internet Page 24

25 Questions? Page 25