NHS is the first health service to make commitment to reach net zero carbon in the world and thus considered as an international leader on emission reductions and sustainable healthcare. There is a rise in awareness of adopting machine learning techniques to facilitate the decarbonisation and energy transition process. However, there is insufficient research on energy performance evaluation and decarbonisation pathways to guide hospitals towards net-zero in the UK context. The suitability of evaluating energy usage in UK’s hospitals using existing healthcare energy benchmarks is not thoroughly verified. Apart from that, it can be discovered that there is lack of extensive understanding regarding the determinants of energy use of hospitals located in the UK. Considering the ambitious commitment from NHS to achieve net-zero by 2050, this research is intended to identify the energy performance of NHS hospitals and effective decarbonisation pathways. In addition, the application and role of artificial intelligence in the decarbonisation process of NHS hospitals is to be discovered. This research also aims to develop models and benchmarks to support the achievement of net-zero healthcare system in the UK. The project is done in partnership with NHS England and CIBSE.