Composable infrastructure that connects care, data, systems and teams

Big Picture Medical enables healthcare organisations to configure, deploy and scale digital care pathways across the services and systems you already run. One connected layer brings together patient interfaces, clinician worklists and care logic, so teams deliver faster, more efficient and more scalable care.

Fast to configure. Built to integrate. Open standards. Designed for real-world care.

Every pathway is composed through our builders, assembled from reusable components proven in real-world care. Each component becomes reusable across future pathways or workflows, creating a growing library that accelerates every subsequent deployment. That is how pathways go live in weeks. Build digital front doors, single points of access, referral triage, remote monitoring and shared care workflows, all built on structured clinical data with meaning preserved across systems.

Care Workflow builder

Design the surfaces teams and patients use (e.g. clinical reviews, telehealth or worklists), with structured data capture at source
UX BlocksData Blocks

Data Workflow builder

Connect systems and get data to and from any system
Mapping BlocksOrchestration Blocks
GP systems
Any care or research pathway
Weight Management Mental Health Chronic disease Cardiorenal metabolic
PACS
EHRs
Wearable devices
AI algorithms

This is how these pathways play out in the complex healthcare services that are live today.

Single Point of Access

Big Picture Medical provides a digital infrastructure solution for Single Point of Access that streamlines referrals, triage, and patient flow, reducing admin workload, providing faster access to care, and giving teams real-time visibility across the care journey.

  • Digital front door: A single entry point consolidating all referrals into one unified worklist
  • Triage and routing: Algorithm-driven prioritisation to route patients to the right follow-up step
  • Patient comms & data capture: Onboarding letters and questionnaires, reminders, updates, and waiting well support
  • Shared clinician view: Real-time visibility of demand, status, and next actions across teams
  • EHR integration: Integration with EHRs such as EMIS and SystmOne

Weight Management

Big Picture Medical provides a digital infrastructure solution that creates a Single Point of Access for weight management services - consolidating referrals into one unified worklist, capturing data in the community, automating triage with clinical algorithms, and routing patients to the right intervention.

The solution is live in NHS deployment and meets OPIP funding criteria for digital infrastructure innovation.

Weight management services struggle with fragmented, manual processes: hundreds of referrals arrive monthly from GPs, community teams, each requiring manual review and routing to digital programmes, specialist clinics, GLP-1 medications, or bariatric surgery. With obesity affecting 26.5% of adults in England and costing the NHS £6 billion annually, services cannot afford delays or misrouted patients.

Without a unified system, teams chase information across emails and spreadsheets, leading to slow triage, inconsistent decisions, and limited visibility into demand.

What It Does

  • Referrals & Onboarding - Consolidates all referrals into one digital front door with a unified worklist. Integrates with GP EHRs. Captures baseline information digitally in the community so referrals arrive complete, structured, and triage-ready.
  • Triaging - Algorithm-guided triage with clinical oversight routes patients to the right service first time, with automated hand-offs reducing manual admin.
  • Operations - Single live worklist with status, priority, and next actions gives teams real-time visibility of demand and flow to manage backlogs.
  • Patient Comms - Patient communication with reminders, onboarding questionnaire for data capture, and "waiting well" resources while patients are in the queue.

Impact

Significantly reduced administrative workload, faster access to care, shrinking waiting lists, and measurable cost savings through decreased admin time and avoidable interventions, with real-time data evidencing improvements in outcomes and performance.

98.7%Right Algorithm output first time
88%Reduction in admin time
£500kTrust-level cost savings

Mental Health

The UK's mental health system is under extraordinary strain: 1.8 million people waiting for treatment, £118 billion in annual economic cost. Most of it traces back to fragmented health and social care that makes coordinated delivery almost impossible. For someone living with mental illness there is no system, just a maze of disconnected services. Our infrastructure unifies them, speeding entry into care and giving teams visibility across the whole journey.

Single Point of Access for ADHD & Autism

ADHD and autism services are under intense pressure, some patients waiting up to eight years for assessment. With no single pathway owner and little end-to-end visibility, providers can't see where patients are stuck, where backlogs build, or track outcomes consistently.

Our infrastructure provides one front door. Referrals arrive structured and risk-prioritised, and real-time visibility into demand, capacity and bottlenecks helps services cut wait times, route patients to the right intervention faster, and reduce reliance on costly Right to Choose providers.

Live in NHS deployment. Aligned with NHS England's ADHD Taskforce recommendations and the NHS 10 Year Health Plan.

What this looks like in practice

  • Single point of access - all referrals, from GPs, schools, community teams or self-referral, arrive in one structured format with complete clinical and developmental information.
  • Intelligent prioritisation - clinical algorithms surface urgent cases and route patients to the right provider first time, cutting manual triage.
  • Connected assessments - each assessment builds on the last, so patients don't repeat themselves and providers see the full picture.
  • Support while waiting - automated updates and engagement keep patients and families informed through long waits.

The impact

Faster access to care, shorter waiting lists, better triage between Right to Choose and NHS capacity, and reduced admin.

75%Reduction in admin time
SignificantCash released from RTC spend
FasterAccess to care or support

Screening & Diagnostics

A patient moves through screening and diagnostics across primary care, imaging, labs and specialists. Data is captured at every step, but in systems that don't talk, causing overdiagnosis and inefficiency, and blocking the clinical AI that could transform accuracy and triage. Our infrastructure turns fragmented screening and diagnostic pathways into one system, using AI to prioritise workload, improve uptake and ensure every abnormal result is acted on.

Breast cancer screening

Breast cancer is the most common cancer in women, with 2.3 million new cases each year. Early detection greatly improves survival, yet 30 to 35% of eligible women skip routine mammography, leading to later-stage diagnoses, harder treatment and higher mortality.

Our infrastructure improves early detection by combining digital onboarding with risk stratification, AI-enabled workload prioritisation and automated scheduling. Personalised reminders and coordination with imaging centres lift screening adherence and ensure rapid follow-up on abnormal results.

What this looks like in practice

  • Coordinated follow-up - abnormal results trigger automated pathways to specialist review. No manual referral, no delay, no dropped handoff.
  • Digital onboarding - patients complete structured intake before their appointment, capturing risk and history in a standard format.
  • AI-assisted triage and detection - clinical AI flags high-risk cases, prioritises urgent reviews and reduces false positives.
  • Automated engagement - invitations, reminders and follow-up guidance are personalised and automated across the pathway.

The impact

Significant reduction in clinical workload, fewer unnecessary follow-ups, and improved early detection rates.

30-60%Reduction in clinical workload
~30%Fewer diagnostic follow-ups
20%Improvement in early detection