All ProjectsCase Study: 03

Po-Health: AI-Assisted Drug Retrieval and Patient Intelligence

Po-Health is a healthcare operations system for drug retrieval, patient management, and medical statistics. Its AI agent retrieves drugs from natural descriptions instead of relying only on keyword matches, then connects those results to patient records and health metrics such as BMI.

System Architecture

The system centers on semantic retrieval for drug discovery and structured patient workflows. Clinicians or operators can describe symptoms, treatment needs, or medicine characteristics, and the agent searches by meaning while the application maintains patient, encounter, and statistics data.

Healthcare Specifications
Product DomainHealthcare operations
Retrieval ModeDescription-based AI agent search
Clinical DataPatients, drugs, and health records
StatisticsBMI and additional health metrics
Search BehaviorSemantic retrieval beyond word matching
Data RoleDrug vectors, patient state, and metric history

PomaiDB Integration

PomaiDB supports Po-Health as a low-latency retrieval and state layer for medical workflows. Drug descriptions can be indexed for semantic matching, while patient management features keep structured records and calculated statistics close to the agent context.

Key Design Choice: Meaning-Based Retrieval
Po-Health separates clinical intent from exact wording. PomaiDB can help store vectorized drug descriptions and patient context so the agent can retrieve likely matches even when the user describes a drug indirectly.
  • Drug Retrieval: Finds drugs from descriptions, indications, and contextual clues instead of exact text matches.
  • Patient Management: Maintains patient records, care context, and operational history.
  • Health Statistics: Calculates BMI and other patient metrics from stored measurements.
  • Agent Context: Keeps retrieval results and patient data aligned during clinical workflows.

Technical Resources

Demo Video
Watch the Po-Health demo: Po-Health AI drug retrieval system

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