2023 Florence Nightingale Award for Excellence in Healthcare Data Analytics

  • Jeffrey, Karen (Recipient), Daines, Luke (Recipient), Woolford, Lana (Recipient), Maini, Rishma (Recipient), Pandya, Anouska (Recipient), Sagar, Debbie (Recipient), Borland, Jane (Recipient), Basetti, Siddharth (Recipient), Batchelor, Ashleigh (Recipient), Weatherill, David (Recipient), White, Christopher (Recipient), Hammersley, Victoria (Recipient), Millington, Tristan (Recipient), Macdonald, Calum (Recipient), Kerr, Steven (Recipient), Shi, Ting (Recipient), Quint, Jennifer K (Recipient), Linning, Gabriella (Recipient), Murray, Josie (Recipient), Shankar-Hari, Manu (Recipient), Kerr, Robin (Recipient), Watson, Bruce (Recipient), Shah, Syed Ahmar (Recipient), Hameed, Safraj Shahul (Recipient), Fagbamigbe, Adeniyi (Recipient), Kelly, Dave (Recipient), Simpson, Colin (Recipient), Vital Katikireddi, Srinivasa (Recipient), Robertson, Chris (Recipient), Ritchie, Lewis D (Recipient) & Sheikh, Aziz (Recipient)

Prize: Prize (including medals and awards)


Awarded to the EAVE long COVID team. The panel was "very impressed with the quality of the application, the engagement with managers and clinicians and the impact, as can be seen through the media pick-up. The panel considered it to be the type of work that all analysts should be aiming for."
Degree of recognitionNational
Granting OrganisationsThe Royal Statistical Society


  • Long COVID
  • Patient and Public Involvement
  • Data analysis