INFORMATION SOURCES
Figure 4 (left): Attendees at the IHEEM Wales Regional Conference engage with the
innex.ai platform on their devices during a live demonstration session. Figure 5 (right): Feedback from the pilot at the Cambridge University Hospitals NHS Foundation Trust.
accessing up-to-date national guidelines and regulations became significantly faster and more intuitive, which contributed to notable improvements in their daily workflow and efficiency. Encouraged by these results, the scope of the pilot is now being expanded to include Capital Projects teams. The data gathered during these stages provides invaluable insights into user behaviour, platform usability, and the overall impact on operational efficiency, which in turn informed continuous improvements to
innex.ai.
Expanding the platform across the NHS Encouraged by the positive feedback,
innex.ai is keen to expand the platform to additional NHS Trusts and organisations within the NHS ecosystem. Participating organisations instantly benefit from immediate time savings for their EFM teams, enhanced compliance, and a multi-year discount on the platform’s subscription fee after the six-month pilot. Furthermore, the team is dedicated to collaborating with each organisation to customise the implementation process to its unique needs, ensuring that every department gains the fullest advantages from
innex.ai. To learn more about joining the pilot
programme, please contact us at carl@
innex.ai, or speak to us at the Healthcare Estates Conference 2024. We will be on stand G47, directly opposite the IHEEM Members’ Lounge. Join us, and together we can drive collaboration for a more compliant, sustainable, and efficient NHS built environment.
References 1 British Medical Association. Building the Future - Brick by brick: The case for urgent investment in safe, modern, and sustainable healthcare estates. London. 1 Dec 2022. [Online].
https://tinyurl.com/ bddtf6yn
40 Health Estate Journal September 2024
2 NHS England, ‘Estates Returns Information Collection, Summary page and dataset for ERIC 2022/23’, NHS England Digital. [Online]. https://tinyurl. com/5n8sah5p
3 NHS Estates and Facilities Workforce Action Plan, London, PAR292, June 2022. [Online]. Available https://tinyurl. com/5n6fnzzw
4 NHS 2023 NHS Staff Survey Results. Accessed: Jul. 21, 2024. [Online].
https://www.nhsstaffsurveys.com/ results/
5 Partow C. ‘AI/LLM Tools to Streamline Information Retrieval for Hospital Infrastructure Support Staff’,
M.Sc. Dissertation, ETH Zürich & University of Cambridge, Cambridge, UK, 2024.
Carl-Magnus von Behr
Carl-Magnus von Behr is an industrial engineer specialising in interdisciplinary problem-solving in healthcare facilities management. He says witnessing the ‘silo working’ and challenges faced by NHS EFM departments during the COVID-19 pandemic inspired him to dedicate four years to PhD research focused on improving knowledge sharing among NHS Trusts. Drawing on the insights from his research, he co-founded
innex.ai, with the goal of driving innovation and operational efficiency across the NHS.
Dr Jan Blümel
Dr Jan Blümel, CTO and co-founder of
innex.ai, combines expertise in engineering and artificial intelligence with a focus on Large Language Models (LLMs) and their applications. He earned his PhD from the University of Cambridge, specialising in the use of LLMs for conversational AI. He also holds a BSc in Mechanical Engineering from the RWTH Aachen University. Bridging the gap between engineering and AI, his current work centres on developing innovative LLM systems for compliance management and knowledge sharing, specifically tailored for healthcare EFM.
Alan Saji
Alan Saji is a final-year medical student and researcher at the University of Southampton, exploring advances in medical technology and biosensors. With a strong interest in healthcare management, and a drive to address prominent healthcare challenges, he brings a valuable clinical perspective to
innex.ai, supporting its goal to streamline hospital management throughout the NHS.
Mark Hawkins
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