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.