FINESSE

• Research type

  Research Database

• IRAS ID

  249297

• Contact name

  Attila Kardos

• Contact email

  Attila.Kardos@mkuh.nhs.uk

• Research summary

  Artificial Intelligence Stress Echo (FINESSE)

• REC name

  Yorkshire & The Humber - South Yorkshire Research Ethics Committee

• REC reference

  19/YH/0159

• Date of REC Opinion

  7 Jun 2019

• REC opinion

  Favourable Opinion

• Data collection arrangements

  We plan to collect more outcome data in the 15 years after SE from hospital records including:
  Death and cause (cardiovascular),myocardial infarction, revascularisation surgery or stent procedures, and re-admission with chest pain

  On completion of collection of outcome data, all patient identifiable data will be removed and unique ID numbers allocated.

  This anonymised Database will be used and shared with Computer Scientists at the Open University for the subsequent stages of the research study.

  The password protected Database with patient identifiable data will be stored on NHS computers at the hospital and will not be accessible to collaborators at the University. Only Clinicians based at hospital will have access to this Database. We aim to have a complete data set that will not have any sensitive data held in it.

• Research programme

  .

• Research database title

  Artificial Intelligence Stress Echo (FINESSE)

• Establishment organisation

  Milton Keynes University Hospital NHS Foundation Trust

• Establishment organisation address

  Standing Way

  Milton Keynes

  MK56ld