Tackling Obesity with Data: Inside Graphnet’s Weight Management Dashboard
05 March 2026
Around £6.5 billion is spent each year on obesity-related care, and it remains the second biggest preventable cause of cancer in the UK[1].
With more than a quarter of adults in England living with obesity[2], demands across primary care, specialist services and acute trusts continue to grow - placing added pressure on already stretched NHS resources.
Steps are being made in the right direction. Recent government announcements have highlighted renewed focus on improving access to obesity treatment in primary care. This includes proposals to introduce new GP contract incentives to support referrals to weight-management programmes and the prescribing of weight-loss medication for eligible patients.
Supporting these pathways is Graphnet’s Weight Management Dashboard, which enables NHS organisations to move beyond broad estimates and access actionable, patient-level insight.
From data to insight: the role of population health platforms
Joined-up care depends on joined-up information. In many areas, relevant data already exists across GP systems, hospitals and community services. But it often sits in parallel rather than in combination.
Graphnet’s Population Health Platform brings those strands together. By linking records across different settings and situations, it provides a single view of obesity levels, related conditions and patterns of service use.
Instead of estimating likely demand for obesity-related services, systems can examine their own population in detail. Variations between neighbourhoods become easier to see, as do gaps between need and engagement. Planning becomes grounded in evidence drawn from real patient data, rather than relying solely on projections and assumptions.
Inside our obesity management dashboard
Graphnet’s Obesity Management Dashboard aims to translate population intelligence into decisions that affect day-to-day care.
Cohort identification
Rather than relying on broad statistics, the dashboard identifies individuals who meet specific BMI thresholds or carry diagnoses linked to obesity. Criteria can be refined in line with updated clinical guidance or local priorities.
For clinical leads, this means understanding the actual number of people within scope for intervention in each locality. For system planners, it provides a grounded starting point for workforce and capacity modelling.
Risk stratification
Obesity presents differently in different individuals. Some face immediate risk due to existing comorbidities, while others may benefit from prevention tactics.
Stratification tools within the dashboard bring these distinctions into view. Risk profiles can be layered with information about long-term conditions and social factors, making it clearer who may need more immediate or intensive support.
This approach supports clinical judgement rather than replacing it and offers context, which is often what is missing when time is limited.
Eligibility filtering
Eligibility criteria for weight loss medications and structured programmes are evolving and interpreting them consistently across practices can be challenging.
The dashboard applies clear filters to identify individuals who meet the criteria. This shared view reduces uncertainty and enables leaders to see the likely scale of prescribing or referral activity before introducing changes.
Service targeting
Headline prevalence rates rarely tell the full story. Some neighbourhoods may show high recorded obesity but low engagement with support services. Others may demonstrate strong uptake yet limited sustained progress.
Segmentation by geography, deprivation and service history reveals these patterns. Public health and commissioning teams can then shape outreach and community provision accordingly. This is particularly relevant when designing pathways intended to reduce inequalities rather than unintentionally widen them.
Pathway monitoring
Innovation funding expects to see clear, measurable progress. The dashboard supports this by helping organisations track referrals, interventions and outcomes in a practical, ongoing way.
Instead of waiting for annual reviews or retrospective audits, teams can see how their pathway is performing over the course of months and make adjustments while programmes are still live. This creates a continuous feedback loop, strengthening accountability, supporting learning, and enabling services to improve in real time.
Inequality analysis
Variation across demographic groups is not incidental; it’s often structural.
The platform highlights differences in prevalence, access and outcomes across deprivation quintiles and population segments. This makes inequalities visible in operational terms. From there, targeted responses can be designed and evaluated against measurable indicators.
Enabling innovation and funding success
National initiatives focused on obesity emphasise community-based delivery, prevention and demonstrable impact. Meeting those expectations requires credible data at every stage, from baseline assessment to outcome reporting.
By consolidating linked patient information and translating it into operational insight, Graphnet’s tools provide that evidential backbone. Cohorts are clearly defined. Interventions can be tracked. Results can be quantified.
Replicability also becomes more achievable when pathway design is built on consistent analytical logic. A model developed within one ICS can be adapted in another using comparable criteria and measures, which strengthens the case for wider adoption.
Supporting people, not populations
Population health conversations can quickly feel abstract, but behind every data point is an individual managing complex and often challenging circumstances. When insight is translated into action, the impact becomes clear:
- Earlier identification of risk can prompt more timely conversations in primary care.
- Clearer eligibility processes reduce delays and uncertainty for both clinicians and patients.
- More precise targeting of community support can lower practical barriers to engagement.
Over time, these incremental improvements accumulate, leading to fewer preventable complications, more stable long-term management and reduced pressure on acute services. The impact may not be dramatic in a single moment, but it is tangible across a system.
Tackling obesity through data
Obesity remains one of the most pressing public health challenges facing the NHS. Yet with coordinated effort, clear insight and sustained focus, meaningful change becomes possible.
Building effective obesity services requires collaboration across organisations, a realistic understanding of capacity, and a shared view of where need is greatest. Above all, it depends on confidence that decisions are grounded in accurate, comprehensive information that reflects real people and real communities.
Graphnet’s Weight Management Dashboard, alongside its wider Population Health Platform, equips NHS systems with a practical framework to understand local need, shape services around evidence and evaluate outcomes over time.
Aligned with national innovation priorities and the realities of frontline delivery, it provides a robust foundation for weight management pathways that are measurable, equitable and built to endure.
