Header image for the current page Arden & GEM reaches the HSJ Value Awards final

Arden & GEM reaches the HSJ Value Awards final

An innovative procurement project to transform community services in Nottinghamshire has been shortlisted for an HSJ Value Award.

The collaborative project, involving NHS Arden & GEM Commissioning Support Unit (CSU), six Nottinghamshire CCGs, Nottinghamshire county and city councils, Nottinghamshire Healthcare NHS Foundation Trust and Nottinghamshire Hospice, has reached the finals in the Improving Value Through Innovative Financial Management or Procurement category. This is the second time Arden & GEM has been shortlisted in this category and the third consecutive year the CSU has reached the HSJ Value finals.

The Nottinghamshire community services procurement required exceptional stakeholder engagement throughout the process, uniting 10 lots into one and making best use of technology and innovations in healthcare support. The result is a new model of integrated care which prioritises patients’ needs and provides services closer to home in line with the NHS Five Year Forward View.

“Reaching the finals of the HSJ Value in Healthcare Awards is a huge achievement, where there is tough competition to demonstrate outstanding efficiency and improvement by the NHS. The Nottinghamshire project demonstrates how effective procurement can not only improve efficiency but ensure patients remain at the heart of service delivery. The collaborative working in this project has been a real triumph, where a combination of skills, knowledge and resources across all partners has delivered better outcomes for patients.”

John Parkes, Managing Director at NHS Arden & GEM CSU


Shortlisted organisations will go on to complete presentations and interviews to a judging panel made up of senior and influential figures from the health sector. The winners will be announced at an award ceremony on 24 May at the Grosvenor House, London.

For more information about the Nottinghamshire procurement project, view our case study