The IT Summit – South: Government NHS Ten Year Plan

The IoT and emerging AI technologies are pivotal to providing the levels of connectedness and collaboration urgently required

In the wake of the government’s pledge to invest billions of pounds into the NHS as part of its ten year plan, the public sector IT Strategy Summit – South in two weeks time is now timelier than ever. This will identify the key technologies available today and IT strategies necessary for delivering the new era of connected health and social care services envisaged.  

Closer integration between health and social care services is seen by policymakers as key to addressing the needs of UK citizens, including more efficient delivery of health and social care services to aid independent living, quality of life and reduce reliance on hospital services and wait times.

This aligns perfectly with one of the core themes of the IT Strategy Summit – South, hosted by MLL and the South East Grid consortium in Brighton on 7th November. The hands-on one day programme will see C-Level public sector leaders discussing how innovative IT and networking solutions can help local government and NHS organisations cost-effectively achieve greater productivity through more efficient collaboration.

Key to this is safe, secure and highly connected sharing of data, ensuring up to date information is easily accessible and readily available between relevant departments and organisations, continuously supporting the patient journey between health and care services. 

IoT-based solutions that can capture and analyse a wealth of up to date and actionable information are already available and before long will benefit further from AI powered tools. Furthermore, all of these can be supported by new more versatile ‘cloud-based software defined networks’ which can also make the most of existing investments in legacy network infrastructure.   

Read on to learn how Damon Thomas, CEO of Sensei-IoT – one of our keynote presenters at the IT Strategy Summit – South – is implementing the IoT, Machine Learning and AI to help public sector clients provide more personalised care plans, enabling better service delivery, and reducing costs.

Expert Interview: Damon Thomas, CEO, Sensei-IoT

Damon, please briefly tell us about Sensei-IoT and in particular your work in the public sector

Sensei-IoT is a leading provider of IoT and Digital Twin solutions, specialising in sector-specific technology applications designed to enhance quality and safety, optimise asset management and improve operational efficiency.

Our smart building and smart city applications have been adopted within the public sector to assist with use cases across and town and facilities management, housing and more recently our expertise has been applied to help transform social care delivery models.

Through the combination of IoT sensors, machine learning and intelligent data analytics we are helping care providers apply the latest technology to complement the human touch, empowering safe independent living where resources more are more efficiently allocated and quality of life is improved.

Why should local authorities and the NHS be collaborating more closely?

As the population ages, the prevalence of chronic conditions rises and budgets become more constrained, closer collaboration and a coordinated approach between health and social care services is essential for ensuring that individuals receive comprehensive, seamless support.

Many patients, especially the elderly and those with long-term conditions, require both healthcare and social support. By working together, the NHS and local authorities can ensure that individuals receive coordinated, holistic care that meets both medical and social needs. This collaboration helps prevent patients from falling through the gaps, reduces hospital admissions, and supports timely hospital discharges, all of which lead to better patient outcomes and more efficient use of resources.

Moreover, closer working relationships between the NHS and local authorities allow for a shift towards preventative, community-based care. By sharing resources and aligning services, these partnerships can identify vulnerable individuals earlier and provide support that prevents health crises and reduces the need for costly hospital care.

The Internet of Things (IoT) and Artificial Intelligence (AI) are making headlines every day – how, where and when do you see these impacting the public sector – can you provide one or two example use cases?

There are many areas that IoT and Artificial Intelligence can positively impact service delivery within the public sector and we are honoured to be supporting a number of local authorities apply IoT across use cases such as environmental monitoring, utility consumption and leak detection, damp and mould detection and footfall and occupancy as just some examples.

But by far, one of the areas with the most significant potential for impact is adult social care.

The application of IoT, AI, and machine learning in this context delivers advanced monitoring and analytics capabilities that can drive transformation aligned to new operating models focussed on a proactive and insight-led approach to care, with decision-making informed by quantitative and qualitative data, where the focus is prevention and targeted early intervention.

Finally, what are the key messages you’re planning to deliver to local authority and NHS delegates at the IT Strategy Summit – South?

The value of aggregated data – how small and seemingly insignificant pieces of data, when combined, can deliver a value that is considerably greater than the sum of its component parts.

The IoT, Machine Learning, and AI are already being used by the public sector to provide accurate and reliable insight on safety, wellbeing, and behaviour. This, in turn, is informing more personalised care plans and translates to better service delivery and reduced costs.

Prepare to be inspired! Join your peers from across the South’s local government, health and social care organisations at the IT Strategy Summit – South, 7 November, Brighton.