ORGANISATION

BODHI-M

BODHI-M is a clinician curator knowledge graph connecting SNOMED-CT concepts-drugs-labinvestigations.

About Dataset

BODHI-M — Concept-Drug-Lab Investigation Knowledge Graph. Part of BODHI (Bharat Ontology for Disease & Healthcare Informatics) — open clinical knowledge graphs for grounding healthcare AI in verified medical facts. BODHI-M is built to map the interventions and investigations. It organizes SNOMED concepts (disorders, symptoms, allergies, procedures) into a rigorous three-level hierarchy: System, Group, and Granular. More on BODHI: https://info.eka.care/services/bodhi-bharat-ontology-for-disease-healthcare-informatics Github: https://github.com/eka-care/BODHI?tab=readme-ov-file

Purpose of Dataset

Capturing a patient's complete health picture is highly valuable for insurance underwriters, EMR platforms, and preventive care. Because real-world health data is often messy and fragmented, knowledge graphs act as a unifying framework. Through reverse inference, implicit data becomes explicit—for example, automatically linking a standalone Metformin prescription to Type 2 Diabetes, which then maps to related co-morbidities. Every data fragment, from family history to lifestyle habits, contributes to a richer, fully connected health profile.