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, 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)

Description

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."
Awarded date6 Jul 2023
Degree of recognitionNational
Granting OrganisationsThe Royal Statistical Society

Keywords

  • Long COVID
  • Patient and Public Involvement
  • Data analysis

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