Academic and research partners
Implementation science, AI evaluation, screening research, epidemiology, health economics and longitudinal pathway research.
Research & Innovation
Explore the live ACCEPT SIMS™ stakeholder demonstrator →
Active development · Pillar 03
ACCEPT SIMS™
Intelligent Screening Registry & Navigation Research Demonstrator
A research-facing demonstrator exploring how cervical screening programmes can connect screening events, referral completion, follow-up, pathway outcomes and future AI evaluation within a longitudinal operational registry.
Synthetic research demonstrator · Not for clinical use
Explore the live ACCEPT SIMS™ stakeholder demonstrator →Why we built it
Community screening programmes may record who was screened and the immediate result. Important implementation and research questions often begin after screening.
- Was an abnormal result communicated?
- Was a referral made?
- Did the participant reach the next stage of care?
- Where did the pathway stall?
- What prevented completion?
- Was the pathway eventually resolved?
- Could future programme support help safely re-engage unresolved cases?
- Screening
- Result
- Communication
- Referral
- Follow-up
- Resolution
ACCEPT SIMS™ was built to make that pathway visible.
From cancer registry to intelligent screening registry
Traditional cancer registries are primarily important for epidemiology and population surveillance. ACCEPT SIMS™ explores a complementary role as an operational screening registry focused on the screening-to-resolution pathway.
It is intended to help research and implementation teams understand:
- What happens after screening
- Where pathways break down
- Why follow-up is incomplete
- Which groups remain unresolved
- How programme interventions change outcomes over time
At scale, this type of infrastructure could support actionable intelligence for public-health institutions, academic partners, NGOs, implementation organisations and funders.
Build 001 · Synthetic data
What the current demonstrator shows
The current Build 001 demonstrator uses 1,500 entirely synthetic participant records to explore screening and navigation information across a longitudinal pathway.
- Programme-level screening metrics
- Abnormal or positive findings
- Referrals required
- Follow-up completion
- Interrupted pathways
- Documented access barriers
- Potential recall/re-engagement opportunities
- Individual longitudinal participant journeys
- Retrospective structured-data import
A research environment
The demonstrator contains no real patient data and is not a clinical system. Its purpose is stakeholder review, research co-design and architecture exploration.
Navigation intelligence
A referral records an intended next step; it does not establish that someone actually accessed care. Understanding the difference requires documenting the barriers along the pathway.
- Financial
- Transport
- Geography/access
- Referral service unavailable
- Appointment delay
- Unable to contact
- Family/social responsibilities
- Declined follow-up
Capturing why care did not happen turns generic “lost to follow-up” into researchable and actionable pathway intelligence.
Unresolved care and supported re-engagement
A pathway that cannot be completed should remain visible rather than disappearing from the dataset. Unresolved care describes a screening pathway that has not yet reached resolution.
Future research may explore supported re-engagement where new diagnostic capacity, transport assistance, subsidised care or other programme support becomes available.
Any real implementation would require appropriate consent, governance and clinical reassessment.
Future conceptual architecture
AI-enabled research architecture
ACCEPT is an AI-enabled cervical cancer research programme, but ACCEPT SIMS™ is not intended to be a single AI model. Its architecture is model-agnostic, allowing future research to connect model outputs with human interpretation and the pathway that follows.
- AI output
- model/version
- confidence
- clinician interpretation
- agreement/override
- diagnostic confirmation
- pathway outcome
Future research could examine:
- Model performance
- Clinician-AI agreement
- False positives and false negatives
- Site/population variation
- Downstream referral decisions
- Pathway completion
- Eventual outcomes
The research question is not only whether an AI model detects disease, but whether AI-enabled screening improves the pathway that follows detection.
Who it is for
Public-health institutions
Programme oversight, pathway intelligence, dataset development and screening-policy evaluation.
Implementation organisations and NGOs
Participant tracking, referral follow-up, navigation and programme delivery.
Funders and research consortia
Evaluation of whether screening interventions translate into completed pathways and measurable outcomes.
A platform for consortium-based African implementation research
ACCEPT SIMS™ is being developed with the expectation that cervical screening research increasingly requires collaboration across academic institutions, implementation organisations, public-health agencies and technology partners.
The platform could support multi-site research questions including:
- Differences in screening pathways between settings
- Predictors of incomplete follow-up
- AI-assisted screening performance across populations and sites
- Navigation interventions
- Financial or transport support
- Cross-country screening-data standardisation
- Scalable programme models
The long-term ambition is not to impose one screening model across African settings, but to provide a common research and information architecture that allows different programmes to generate comparable, governed and locally meaningful evidence.
Research grants and consortium development
BloomShield is actively exploring consortium-based research opportunities that could use ACCEPT SIMS™ as shared screening, navigation and evaluation infrastructure across African implementation settings.
Potential themes include:
- AI evaluation in cervical screening
- Implementation research
- Screening equity
- Referral and navigation
- Digital health systems
- Diagnostic pathway completion
- Multi-country comparative research
- Health-system strengthening
We welcome discussions with universities, cancer institutes, public-health agencies, implementation organisations and research funders interested in developing collaborative proposals around these themes.
Current status: stakeholder research demonstrator
The current version is intended for research development and requirements discovery using synthetic data.
Intended for
- Academic review
- Stakeholder discussion
- Pathway-model exploration
- Research-protocol development
- Consortium design
- Requirements discovery
It is not currently
- A deployed clinical system
- A regulated medical device
- A national registry
- A validated AI system
- A replacement for existing cancer registries
Interested in studying screening pathways with us?
We are interested in collaborations around cervical cancer screening, implementation science, AI evaluation, patient navigation and longitudinal pathway research.