Cyber Incident detection for EMR Systems
An Electronic Medical Record (EMR) is worth 10-20 times the value of credit card information online. Medical records often contain a persons most sensitive information such as their diagnosis, treatment and financial details. In addition to EMR theft for use in identity fraud, a compromised EMR System could result in a patient receiving an incorrect medical dosage, with serious, even deadly, consequences.
Prototypes have been built by Kainos Software. Currently, 148 hospitals are now live worldwide, storing 33 million patient records and over 1 billion documents.
This presentation reflects on existing EMR security and detection mechanisms, before delving into how the prototypes were constructed and what the learnings are for anyone wishing to use Machine Learning or Time Series Anomaly detection within their own applications.
This session will be held on the 6th floor or Lombard House, through the kind hosting of Entrepreneurial Spark and Ulster Bank. This also allows us to recognize Global Entrepreneurship Week and the many support facilities available to Northern Irish companies, including cyber security start-ups.
Join us on Wednesday 15th November, from 6pm to 8pm, for pizza, drinks and talks. Special thanks to Kainos for sponsoring food and drinks on the night.
This talk is presented by Davey McGlade:
Davey is a Principal Architect and Cyber Security Lead with Kainos Software Ltd, where he has worked for the last 9 years on projects ranging from a storage platform for the Home Office, a replacement for the UK MOT Service and the recent Register to Vote site.
Davey recently finished a MSc in Applied Cyber Security with Queen's University Belfast (CSIT). He likes to travel, and spent a year going around the world on his own.
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