# Public Health

## The Problem

Public health systems worldwide face growing pressure to modernize digital infrastructure, particularly in the wake of COVID-19. Real-time data integrity, transparency, and inter-agency interoperability are critical, but still rare. Core challenges include:

* **Fragmented data systems** between national, state, and local health agencies
* **Lack of trust and traceability** in shared datasets such as case counts, vaccination records, or surveillance inputs
* **Unverifiable source data** in pandemic dashboards, policy models, or public health interventions
* **Inconsistent EHR integration** across clinics and hospitals, making it difficult to certify clinical data used in population-level reporting
* **Public skepticism** toward data shared during health crises, especially when source chains are not visible

Even in well-resourced nations, **EHR data often cannot be trusted across systems** without costly, manual reconciliation or middleware. In lower-resource regions, data provenance is almost entirely absent—leaving agencies and researchers blind to quality issues.



## Circular's Solution

Circular provides a unified infrastructure layer that certifies public health data at the point of entry and tracks its use throughout reporting, modeling, and decision-making.

Key capabilities include:

* **Certify datasets used in dashboards, models, and interventions** (e.g., case data, lab results, vaccination logs)
* **Immutable audit trails for public health decisions** and outbreak response timelines
* **Secure cross-agency data sharing** with embedded provenance and access controls
* **EHR compatibility**: Certify patient-level or aggregate data pulled from health records or national systems
* **Time-stamped reporting** for alerts, mandates, and recommendations

This allows health agencies to generate trusted insights from messy or distributed inputs, while preserving transparency for public or regulatory review.



## How It Works (Example Flow)

1. Health department uploads case counts and lab reports
2. Circular certifies and timestamps the dataset, linking to the reporting clinic or lab
3. A model uses the certified data to generate predictions or policy recommendations
4. The dashboard or alert includes embedded links to certified source data



## Outcomes

* **Boosts public trust** by making health data traceable and verifiable
* **Improves decision quality** with certified, auditable models and inputs
* **Accelerates outbreak response** through real-time certified dashboards
* **Supports multi-region coordination** through cross-agency certified datasets



## Benefits by Stakeholder

* **Health Departments**: Reliable, auditable data pipelines for compliance and policy
* **Researchers**: Trustworthy datasets for modeling or publication
* **Regulators**: Faster, clearer verification of interventions and claims
* **Public**: Greater visibility and confidence in shared health data

Circular helps public health agencies deliver data that is not just available—but trustworthy, certifiable, and globally interoperable.
