Patient360
Patient360 retrieves longitudinal patient records across networks, vendors, and care settings. It performs identity resolution, data aggregation, and normalization to produce a unified FHIR record.
Overview
Understand how identity matching, data aggregation, and normalization work together to produce a unified patient record.
Identity Matching
Match external identities using $cw-search and link them using $cw-enroll before retrieving records.
Retrieve Data
Use $p360-retrieve to initiate record retrieval and receive results via webhook notifications or polling.
Retrieval Models
Describes the available methods for retrieving clinical documents and patient records, including standard retrieval, national-network retrieval, federated retrieval, and event-driven retrieval.
API Retrieval Guidance
Explains the API methods and request patterns for retrieving data across retrieval models, including when to use each approach within Patient360 workflows.
Workflow Examples
Review a complete sequence from identity matching to record ingestion using real query patterns.
Best Practices
Follow recommendations to improve match rates, minimize duplication, and support high-throughput access.