Engage
Concrete ways to contribute, by role.
Guardian Angel is being built as patient-centered infrastructure. The work it requires is distributed across informatics, AI safety, policy, clinical research, and sustained funding. Below are the specific pathways for each.
Informatics
For the people who build the data layer.
Join the standards working group
FHIR profile refinement, SMART on FHIR scopes, multi-modal data extensions, consent receipts, audit-log schemas. The output is intended to be public and citable.
Contribute to the reference implementation
The patient-controlled record, the ingest connectors, and the clinician-view SMART app are being developed as a reference implementation. Pull requests, design reviews, and security audits are welcome.
Build the evaluation harness
Synthetic and consented-cohort evaluation harnesses for trajectory detection, summarization fidelity, and recommendation grounding.
AI & safety
For the people who reason over the record.
Adversarial evaluation of agent outputs
Red-team the trajectory engine, the summarizer, and the recommendation grounding. Failure modes that should never reach a patient are the priority targets.
Guideline-citation infrastructure
Build the infrastructure that ties recommendations to specific guideline statements and to specific record observations. Untraceable recommendations are an architectural defect.
On-device inference engineering
Apple Silicon and other on-device NPU work for low-latency conversational use, privacy-sensitive reasoning, and graceful degradation for low-resource deployments.
Policy
For the people who shape what is permissible.
Co-author the governance framework
Public-interest operating model, advisory composition, decision-making procedures, and patient-interest safeguards. Intended to be public and adoptable by other projects.
Liability and insurance position paper
The clinician-side and patient-side liability framework for AI-assisted care needs structured argument and engagement with insurers, clinical societies, and regulators.
Regulatory pathway engagement
Early engagement with FDA, EMA, Israeli MoH, and equivalents on intended use statements, SaMD classification, and AI Act risk tier alignment.
Clinical research
For the institutions that can run a cohort.
Host a consented pilot cohort
Pediatric trajectory, oncology shared decision-making, complex chronic disease, and cross-border continuity are the highest-value initial targets. Integrated payer-provider systems are particularly well-positioned.
Prespecified outcome measurement
Time-to-recognition for slowly evolving findings, clinician documentation burden, escalation appropriateness, patient-reported understanding and trust.
Multi-site recruitment infrastructure
The architecture's cross-institutional and cross-border recruitment capability needs to be demonstrated with real trials at real scale.
Funding
For the people who can underwrite public-interest infrastructure.
Guardian Angel's funding model is closer to public-interest infrastructure than to a conventional health-tech product. The current focus is on philanthropic, research, and integrated-system funding, with explicit governance to keep the patient interest primary as the project scales.
The highest-leverage uses of funding right now are: hardening the reference implementation, running the first consented pilot cohorts, building the evaluation harness, and developing the regulatory and governance position papers that the project will need to engage policymakers credibly.
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