Disaster eHealth, Disaster Management and Data Sharing – Which Data, Who with, When?

In New Zealand, agencies seem very happy with the level of communication and collaboration between them. However, as more data is collected and stored and more uses for this data is found, it may be that Information systems and eHealth technologies can exploit this data even more. Examples of datasets that may contribute to the minimum dataset (MDS) include geographical and transport data, data about infrastructure presence and performance, health and demographic data, natural hazard and environmental data as well as data generated by and for organisations involved in preparing for and responding to disasters, both locally and internationally.


Workshop Scope:

  • Is there a role for a minimum dataset for New Zealand disaster management and disaster medicine?
  • Where will the data come from?
  • How can we share data safely?
  • What data when, and why?

Main Objectives:

  • Identify issues and ways forward in terms of supporting disaster management and disaster medicine by means of appropriate data sharing
  • Investigate and develop the concept of a minimum dataset (MDS) that will be made available to organisations involved in disaster management and medicine

Workshop Facilitators

Javid Abdelmoneim

Javid Abdelmoneim

MSF, United Kingdom

reem abbas

Reem Abbas

Auckland University of Technology

Kate Crawford

Ministry of Health New Zealand

jon herries

Jon Herries

Ministry of Health New Zealand


Dr. Dave Parry

Auckland University of Technology