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Epidemic Communicator

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Epidemic Communicator

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The objective of this Peter Pribilla Fellowship project is to elucidate how service innovations in the face of uncertainty, with regard to food borne disease outbreaks, emerge. This context is deemed adequate due to its high societal, and managerial relevance, as recent serious human infections in the course of enter haemorrhagic Escherichia coli (EHEC) have highlighted an unexpected vulnerability in the German health care sector this year.

more: clicresearch.org/peter-pribilla-stiftung/?page_id=122

The objective of this Peter Pribilla Fellowship project is to elucidate how service innovations in the face of uncertainty, with regard to food borne disease outbreaks, emerge. This context is deemed adequate due to its high societal, and managerial relevance, as recent serious human infections in the course of enter haemorrhagic Escherichia coli (EHEC) have highlighted an unexpected vulnerability in the German health care sector this year.

more: clicresearch.org/peter-pribilla-stiftung/?page_id=122

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Epidemic Communicator

  1. 1. epicomm Epidemic Communicator Uncertainty as a Trigger for Service Innovations Gordon Müller-Seitz, Carsten Reuter, Christoph Stöckmann, Wotan Wilden and Gil Breth Munich, October 22, 2012 1
  2. 2. epicomm Agenda Introducing the epicomm -Team Introducing the Issue What We Promised What We Deliver 2
  3. 3. epicomm Epicomm - Team Gordon Müller-Seitz Carsten Reuter Pre-studies (automotive) FHG distribution channels Qualitative empirical studies Information flow Teaching cases Possibilities to promote the theme Christoph Stöckmann Wotan Wilden App production Product Design Empirical study Prototyping Multi-channel marketing Usability 3
  4. 4. epicomm Agenda Introducing the epicomm -Team Introducing the Issue What We Promised What We Deliver 4
  5. 5. epicomm Uncertainty in the run-up or during events can take many forms, is managerially relevant and represents an omnipresent phenomenon Ebola Tsunamis Eyjafjallajökull Fukushima Deepwater Horizon 9/11 5
  6. 6. epicomm After the crisis is before the next crisis Uncertainty remains a latent key concern for many health care actors 6
  7. 7. epicomm Uncertainty  risk Uncertainty in our setting is diffuse and critical hystery prone setting reducing uncertainty (public authorities etc.) Overarching research question: How do actors cope with uncertainty in the face of HC disasters? 7
  8. 8. epicomm Specific case The invisible is EHEC Leadership is needed to introduce innovative services Call center hotline Receipe-based cohort study EHEC Task Force (innovative form of collaboration for the PuMa sector) 8
  9. 9. epicomm Agenda Introducing the epicomm -Team Introducing the Issue What We Promised What We Deliver 9
  10. 10. epicomm Our promise – outputs will occur in the following areas Teaching Case studies for three diseases Research A conference paper Dissemination Gaining attention for the PPS Product App 10
  11. 11. epicomm Agenda Introducing the epicomm -Team Introducing the Issue What We Promised What We Deliver 11
  12. 12. epicomm Investment of 40.000 € funding by Peter Pribilla-Foundation Travelling 8.000 € Epicomm Team Research/teaching 12.000 € Student assistants for data collection and analysis purpose Freie Universität Berlin, Institut für Management Product research/design 5.000 € Student assistants for user research and app design Technische Universität München, Lehrstuhl für Industrial Design App implementation 15.000 € netSTART Systems GmbH and Hag&Hagal 12
  13. 13. epicomm Teaching output - generating visibility of the PPF-theme Case studies EHEC: „EHEC-Ausbruch 2011 in Deutschland – Der Kampf gegen den unsichtbaren Feind “ SARS: „SARS-Pandemie 2002/2003: Die Angst reist um die Welt “ BSE: „Der schiere Wahnsinn – Die BSE-Epidemie in Großbritannien und ihre weitreichenden Folgen für Europa “ Research seminars Freie Universität Berlin („Forschungsseminar“ / summer term 2012/13) Universität Hamburg („Public Risk Management“ / winter term 2012/13) 13
  14. 14. epicomm Research output - crafting output for the scientific arena Exchange fora with leading experts from the field Joe Lampel (Cass Business School) Bridget Hutter (LSE) Presentations/papers 2012 Public Management Colloquium/WK ÖBWL „Interorganisationale Praktiken im Umgang mit Unsicherheit am Beispiel des EHEC-Ausbruchs“ OLKC „Situated Learning during Uncertain Events: The Case of the German EHEC outbreak 2011“ EURAM „Managing Uncertainty in the Case of Food-borne Disease Outbreaks: Explorative Evidence from Public Health Insittutions“ 14
  15. 15. epicomm Dissemination - leverage existing resources and facilities DocCheck Leads pursued (ongoing) Fire department Düsseldorf Departmental authority for Health and Consumer Protection (Hamburg) Inquired / existing contacts Apothekenrundschau Computer Bild Bild FU Berlin online magazine 15
  16. 16. epicomm Product - App developing process Generation of user stories Survey of experts Definition of main functions App design App implementation 16
  17. 17. epicomm App - Generation of 12 user stories Example 1 Information on health status of family members and friends 17
  18. 18. epicomm App - Generation of 12 user stories Example 2 Location-based concentration of site-specific symptoms triggers alarm 18
  19. 19. epicomm App - Survey of experts Contacts Bayerische Landesärztekammer Bundesamt für Bevölkerungsschutz und Katastrophenhilfe Deutsche Lebens-Rettungs-Gesellschaft e.V. Deutscher Wetter Dienst Deutsches Rotes Kreuz Europäisches Zentrum für Krankheitsprävention und Kontrolle (ECDC) Feuerwehr Branddirektion München GDACS (Global Disaster Alert and Coordination System) Helmholtz Zentrum München, Epidemiologie Abteilung Johanniter (Unfall-Hilfe e. V.) Malteser „MediCare“ / Flughafen München Medizinisches Zentrum GmbH Polizeipräsidium München Referat für Gesundheitsschutz und Infektionsschutz der Landeshauptstadt München Referat für Gesundheit und Umwelt der Landeshauptstadt München Technisches Hilfswerk 19
  20. 20. epicomm App - Survey of experts Results Interest in the use of the app is given. Responsible source must be trustworthy and reliable! Who is the competent, trustworthy source? The app is not useful for travelers. Still possible: recommendations of the Foreign Office warnings instead (this is the full responsibility of the national authorities and of some international public health institutions!) Behavioral advice instead of standard information, with which the user is left alone. Location-based data is desirable, but only anonymously and not exactly but as a display of the relative density. It would be great to have the system able not just to register the single case but to identify geographical/timing clusters. In terms of warning, users should have the possibility to clearly distinguish what they find on media from what they find from any authority or reliable source. 20
  21. 21. epicomm App - definition and design of main functions Basic settings When you start using the app you will be asked which information is used 21
  22. 22. epicomm App - definition and product design of main functions Behavior of the app on Warnings Warnings appear as push messages on the smartphone The home screen is focused on the most important functions to reduce panic: messages, behavioral advice and search for a doctor 22
  23. 23. epicomm App - definition and design of main functions General information within the app General topics and articles serve as a supplement to the warnings and reduce panic Already read information fades to gray, for a better overview 23
  24. 24. epicomm App - definition and design of main functions Self examination Result consists of the analysis of symtoms and the location-based risk assessment With a worrying result the user is forwarded to "behavioral advice “ Results are anonymously recorded and displayed in a interactive map 24
  25. 25. epicomm App - definition and design of main functions Interactive map Possible setting at the beginning are „choose filter" (which diseases to be shown) and „select period" to (in the last 24hours / year) The evaluated data of the self examination results appear alongside official sources in the charts 25
  26. 26. epicomm App - definition and design of main functions Doctor Locator Only relevant specialists are shown (e.g. virologists) When you click on a desired pin on the map, the contact of the doctor will be displayed 26
  27. 27. epicomm App - Implementation netSTART Systems GmbH and Hag&Hagal Gil Breth Geschäftsführer netSTART Systems GmbH Oststr. 11-13 (Rhein-Carré), D-50996 Köln-Rodenkirchen www.netstart-systems.de 27
  28. 28. epicomm App - Technology In 2012 Apple integrated a wireless emergency alert system into iOS 6 Client user iOS warns user Base-System service provides alert Information is independent of time and location Only in the USA Emergency Alert Service Only emergency warnings No direct support Collects and provides emergency alerts 28
  29. 29. epicomm App - Technology Epicomm provides a back-channel for users to receive user-generated data Client user User generates data iOS warns user Self examination doctor search Direct support Base-System service provides alert Country independent Epicomm Service Comparsion of user data Analysis of user data 29
  30. 30. epicomm App - Functions General information News Integration of various online news sources Aggregation of news Cross-platform deployment (XML, RSS) Not personalized content 30
  31. 31. epicomm App - Functions Self examination Symptom query Provision of symptoms Detection of symptoms depending on the user location Anonymous online data storage Location based analysis of the symtoms 31
  32. 32. epicomm App - Functions Location based doctor search Doctors Overview Display of appropriate doctors in the own area Direct contact opportunities Location based results 32
  33. 33. epicomm App - Functions Symptom radar Message summary Displaying messages in the own area Time and location dependent Visualization of message types (confirmed vs. non-confirmed) 33
  34. 34. epicomm App - Demonstration 34
  35. 35. epicomm Epicomm can visualize and react on spread of viruses in real time x Video source: Adam Sadilek, Predicting Spread of Disease from Social Media,http://www.cs.rochester.edu/~sadilek/research 35
  36. 36. epicomm What’s next? Partner Network Integration of data sources Quality of service/data Media and PR News in our news/social media network (approx. 6.000 members) PR-partners: Computer Bild, Center.TV, VDI News Data, data and even more data Support for other plattforms (Android and Windows Phone) User generated content 36
  37. 37. epicomm Thank you for your attention and support 37

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