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Expert Talk
Amakomaya — Aamako Maya Apps Pvt. Ltd.

Data, Standards & Systems

Policies​

Trust is our most important currency. This document outlines our governance framework:

  • Data Sovereignty: Ensuring that health data collected belongs to the individuals and the national health system.
  • Consent Frameworks: Dynamic consent models for mothers participating in digital health programs.
  • Ethical AI Use: Guidelines on how we use predictive analytics to identify high-risk pregnancies without bias.

Systems​

An overview of the Amakomaya technical architecture:

  • Cloud-Hybrid Infrastructure: Scalable backend systems designed to handle thousands of concurrent health worker updates.
  • Offline-First Sync: Detailed logic on how mobile clients store data locally and sync securely once a connection is established in remote areas.
  • Security Protocols: End-to-end encryption for all Personally Identifiable Information (PII).

Open Data​

Amakomaya contributes to the global research commons:

  • Anonymized Datasets: Making non-identifiable maternal health trends available for public health researchers.
  • API Access: Open endpoints for authorized health partners to pull real-time maternal mortality indicators and immunization gaps.
  • Visualizations: Interactive maps and charts showing the impact of digital interventions across different provinces.

Standards​

FHIR​

Fast Healthcare Interoperability Resources. We adopt the HL7 FHIR standard to ensure that maternal health records are portable. This allows a mother's digital history to move seamlessly between rural clinics and major hospitals.

ICD​

International Classification of Diseases. All medical conditions, complications, and causes of maternal/neonatal mortality are coded using the latest ICD-11 standards. This ensures our data is globally comparable and ready for WHO reporting.

SNOMED​

Systematized Nomenclature of Medicine. We use SNOMED CT for clinical terminology. This provides a consistent way to index, store, and retrieve clinical data across different languages and healthcare settings, reducing the risk of medical error during handovers.

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