Population health


Our work across Population Health Management (PHM) brings clarity to decision makers with the dual aim of improving the population’s health and reducing inequalities.

By analysing variations in current and future health needs of patient groups, we provide solutions that help to re-prioritise resources to achieve this dual goal.

NHS waiting list tracker

NHS waiting list tracker

Visualised by LCP

Explore our interactive tracker to see how waiting lists for NHS services vary across England.

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How we can help

Our work across Population Health Management embeds the approach to improve the population’s health while reducing inequalities across several areas:

Reprioritising resources according to health need

  • We analyse the health need of patients on waiting lists and provide solutions that help to re-prioritise resources according to disease-specific and broader health need in order to improve population health and reduce inequalities.  

Redesigning care pathways according to patient health need

  • Individuals living with just one chronic disease are becoming the exception rather than the norm. We map out clusters of chronic diseases in specific populations, patient groups and individuals. This allows care pathways to coalesce around the real health and prevention needs of patients, enabling more joined-up care and fewer clinic visits.

Population Health Management strategy

  • Working with providers and commissioners to help transition provision and paying of services to put the population’s health front and centre.

Identifying patient groups with highest unmet need to reduce inequalities

  • Ageing and multimorbidity mean that population health (and illness) profiles vary more than ever. We use our cutting-edge modelling approaches to estimate health needs and disease patterns in granular detail. This allows healthcare providers to develop and better match services needed by their populations today and in the future, improving health outcomes and reducing health inequalities.

Intervention modelling 

  • With finite resources, decision makers want to invest in services and interventions with the biggest return on health. Our intervention modelling brings the choices and trade-offs to light. We estimate the health, economic and equity effects of a range of interventions, from therapeutics to public health measures, for individuals or whole populations, to allow comparisons in an interactive dashboard to inform decision makers.

Our latest thinking

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Explore our solutions

Through real world evidence combined with simulated trials, we help to identify patients with highest unmet needs most likely to yield trial results sooner enabling more efficient trials and bringing therapeutics to patients earlier.

Use our Type 2 diabetes comorbidity explorer to examine the real world evidence we used to investigate multimorbidity in patients with T2DM, as part of our work with the National Institute for Health and Care Excellence (NICE).

By analysing variations in current and future health needs of patient groups, we provide solutions that help to re-prioritise resources to help decision-makers improve the population’s health and reduce inequalities.

Use our interactive visualisation to explore and compare key statistics for local authorities in England, including health, education, employment and economic administrative data.

Through realigning incentives towards patients' health needs, our approaches aim to transform healthcare systems from importers of illness to exporters of health, paying off for both patients and providers.

See the health index in your area, how it has changed over time and compares to other local authorities.

Get in touch.

If you would like to know more about our services and how we can help you with health analytics get in touch.

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