TO BE PUBLISHED October 2024
Price: £150 PLUS VAT
Format: DOWNLOADABLE PDF
This conference will discuss next steps for prevention and improving outcomes for major health conditions in England.
It will be an opportunity to discuss the future for policy and the strategic approach to managing diagnosis and care for major health conditions in the new parliament, following the government pre-election intention to publish a Major Conditions Strategy.
Delegates will explore potential transition from a single-disease approach to health service planning to a multi-morbidity approach, and the opportunities and challenges this presents. There will be discussion on the way forward for integrated care boards to adopt and adapt approaches best suiting the needs of their populations, the feasibility of the health workforce in light of current pressures, and key opportunities for improvement.
With a focus on prevention, the agenda also looks at priorities for prevention and public health strategies, as well as the impact of the merging of long-term dedicated strategies for individual conditions on research, diagnosis and care.
Sessions will assess next steps for earlier detection and diagnosis of major health conditions, including building on current NHS Screening programmes and Early Intervention Psychosis services to undertake more personalised and targeted screening.
The agenda also looks at supporting cross-government collaboration to tackle wider socio-economic determinants to ill health and opportunities for the new parliament, as well as the funding and provision of local community health services.
Further sessions will consider priorities for managing health conditions and approaches to personalised care, as well as for the NHS health workforce. They will discuss the current workforce model, next steps for pivoting to a whole-person care model, the future for general and specialist professions within care teams, priorities for recruitment and retention, and more closely aligning mental and physical health services.
The potential of AI in improving efficiency and reducing diagnostic wait times will be discussed, looking at collaboration with developers to test AI diagnostic tools.
It is also an opportunity to assess key priorities for tackling health inequalities, including enhancing the collection and utilisation of data to improve understating on this issue, with calls to establish a central consensus on ethnicity coding within the health and social care setting.
Overall, the agenda looks at:
- a multi-morbidity approach: key issues for healthcare planning and levers for delivery - infrastructure requirements - the role of ICSs - funding priorities
- prevention: building a prevention first model of care - empowering individuals to lead healthier lives, in the context of calls for integrating population-level management of risk factors
- earlier detection and enhanced diagnostics: individualised and targeted diagnosis - future outlook for genomics - funding for screening programmes - managing pressures and incentives within primary care
- opportunities for innovation: developing technology and guidelines - role of data and AI in improving efficiency and personalisation - channelling investment in R&I
- patient-centred care: developing effective patient pathways - listening to patient voices - holistic approaches to care for patients with multiple conditions - expansion of multidisciplinary healthcare teams
- workforce: the role of the NHS Long Term Workforce Plan - priorities for supporting the workforce to take forward innovative healthcare delivery - practicalities for a holistic and integrated approach to care
- data: how health inequality data collection can be integrated within healthcare and integrated care systems most effectively to address deprived groups
- policy: assessing the current landscape for addressing multi-morbidity in the health system - the outlook for future frameworks and policies
- support: alignment and integration between physical and mental health services - support for families and unpaid carers - improving accessibility to healthcare
