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Temperature Monitoring & Calibration Systems Market Engagement

Imperial College Healthcare NHS Trust

North West London Pathology (NWLP) is a partnership between Imperial College Healthcare NHS Trust, Chelsea and Westminster Hospital NHS Foundation Trust, and The Hillingdon Hospitals NHS Foundation Trust. It is hosted by Imperial College Healthcare NHS Trust and operates as a jointly owned pathology network with a hub-and-spoke model across seven hospital sites. NWLP delivers approximately 36 million tests annually, supports around 280 GP practices across the North West London Integrated Care System, and serves a population of more than 2.8 million NWLP delivers services from laboratories located at Hillingdon Hospital, Mount Vernon Hospital, Chelsea and Westminster Hospital, West Middlesex University Hospital, St Mary’s Hospital, Hammersmith Hospital, and Charing Cross Hospital. The service supports acute, specialist, and community care, providing disciplines including Blood Sciences, Infection and Immunity, Cellular Pathology, Histocompatibility and Immunogenetics, and a range of specialist and referral services. Due to the scale and breadth of these services, temperature monitoring requirements vary significantly, ranging from support to acute blood transfusion and clinical services, through the storage of blood components, reagents and consumables used in sensitive and critical testing procedures, to the long term storage of clinical material. Operating across this geographically dispersed, multi site estate, NWLP manages a complex laboratory operating model to ensure safe, timely, and high quality diagnostic testing. As part of ongoing service development and transformation, NWLP is developing a business case to review options for the procurement of a UKAS compliant temperature monitoring solution capable of supporting its multi site operating model. This Request for Information forms part of early pre market engagement to better understand available solutions, delivery models, and cost effective approaches to implementing a robust and scalable temperature moni

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