Faculty and NHS England win ‘Best Healthcare Analytics Project for the NHS’ at HSJ Partnership Awards
- Faculty and NHS England won for their life-saving Early Warning System (EWS).
- EWS was developed at the start of the pandemic and used AI to forecast bed capacity across the NHS, ensuring decision makers could accurately plan resourcing.
- The EWS now has over 1000 users across the NHS, who use the forecasts daily to inform patient care.
On 24 March 2022, the HSJ Partnership Awards awarded Faculty and NHS England Best Healthcare Analytics Project for the NHS.
The award recognises their innovative and collaborative partnership with the NHS over the past 12 months on the Early Warning System.
Faculty built the COVID-19 Early Warning System in partnership with the NHS, a first-of-its-kind AI tool that forecasts COVID-19 hospital admissions and required bed capacity three weeks in advance.
Daily predictions became available on a national, regional, and hospital level. For the first time, NHS staff could predict and plan for the potential impact of the virus on demand for frontline services.
The EWS underpinned the NHS’ COVID-19 response and was key to driving increased efficiencies, lower costs, and supporting life-saving decisions in real-time.
Myles Kirby, Director of Healthcare and Life Sciences at Faculty, said:
“We are thrilled to have won Best Healthcare Analytics Project for the NHS. TheEarly Warning System was critical in ensuring NHS decision makers could plan and prepare throughout the pandemic, saving thousands of lives in the process. We are looking forward to using AI to further improve patient outcomes, as it already does daily across the NHS. ”
Dave West, Health Service Journal’s Deputy Editor, adds:
“The winners were chosen after considerable deliberation on many success factors, but primarily on the innovativeness and commitment to healthcare. On this occasion, I congratulate the winners for their hard work and workmanship, and I look forward to learning the future of their projects, now with the added accolade from the HSJ family.”
The awards ceremony was held at Park Plaza, Westminster in Central London, and was attended by leaders and professionals from both the NHS and private sector as well as figures from non-clinical backgrounds. The ceremony was hosted by actor/comedian/writer Tom Allen, and the evening was a celebration of the collaboration and innovation of private organisations and charities with the NHS.
For more information on the HSJ Partnership Awards visit: https://partnership.hsj.co.uk/
NOTES TO EDITORS
For more information/media enquiries relating to the HSJ Partnership Awards 2022, please contact Rebecca Bright at email@example.com
For more information relating to Faculty, please contact Thomas Boyd at thomas.boyd.@faculty.ai
About HSJ Partnership Awards:
The HSJ Partnership Awards celebrate the most effective partnerships with the NHS and highlight the benefits which working with the private and third sectors can bring to patients and NHS organisations.
Health Services Journal is the only title to cover all aspects of publicly funded healthcare, providing news, analysis, and best practice information from some of the most powerful and respected figures in health. The HSJ audience is formed of healthcare leaders from both clinical and non-clinical backgrounds and both public and private sectors.
HSJ is published by Wilmington PLC, a company dedicated to providing information and training to professional business markets. Their publications across the Health, Risk and Compliance, Finance, Legal and Insight sectors are united by one common aim- to turn knowledge into advantage. Wilmington PLC enables professionals to enhance performance and innovation by providing high quality, relevant and reliable information, education and knowledge
Faculty is one of Europe’s leading applied artificial intelligence companies. We build, deploy and operate AI solutions to increase our customers’ performance and help them realise their full potential. We believe that AI should be trustworthy, impactful and beneficial across society. Those principles have shaped our work with more than 250 organisations across the public and private sectors as we help them use AI to understand more deeply, make better decisions and act faster.