Use Cases

Here are real examples of what customers have built using Topology and what you can build too. Each use case includes a concrete problem, a snapshot of the solution, and how we helped implement it.

Registry App

Automated Registry Reporting

Problem

Hospitals manually extract and enter data into registries, which is time-consuming and error-prone.

Solution

Automate data collection and submission with a dashboard and AI-powered extraction from clinical notes.

Includes

FHIR-based registry automation
Structured and unstructured data capture
Text extraction from pathology and discharge summaries
Write-back to EMRs and registry submission endpoints

Tracking Order Status

Imaging Order Tracking

Problem

Providers lose visibility into the status of imaging orders, whether they were scheduled, completed, or followed up.

Solution

Track imaging order lifecycle from request to fulfillment, including follow-up scheduling.

Includes

HL7 V2 and FHIR data mapping
Status dashboard
Narrative note parsing for follow-ups

Viewing Clinical Data

Clinical Data Viewer

Problem

Health teams need to see all data on a patient across multiple sources in a single view.

Solution

A lightweight FHIR viewer that aggregates records from multiple systems.

Includes

Filters for observations, meds, labs, and notes
Viewer framework (open source)
Optional deployment connected to public demo servers

Creating International Patient Summary (IPS)

Patient Summary Builder

Problem

Cross-border care requires a standardized export of a patient’s summary.

Solution

Build an IPS using FHIR profiles with export, print, and share options.

Includes

IPS profile implementation
Viewer + export interface

Storing data in Common Data Model (CDM) Infrastructure

Data Storage

Problem

Cancer registries and other reporting pipelines need structured, consistent, and validated data.

Solution

Build and validate a Common Data Model (CDM) for structured data capture using FHIR and SDC.

Includes

SDC schema creation and validation tools
FHIR IGs linked to form structures
Real-time validation for registry submission workflows

Feed your Health Data into Gen AI

FHIR + Gen AI Integration

Problem

AI solutions struggle to extract or interpret data without clinical context from EHRs.

Solution

Use Gen AI pipelines to summarize and extract data from clinical notes, structured fields, and lab reports.

Includes

Text-to-structured pipelines
Embedding clinical knowledge into prompts
Analytics-focused outputs (not real-time care)

SMARTerFHIR.jsx

App.jsx

import { ClientUtils } from "@topologyhealth/smarterfhir";<button onClick={startStandaloneLaunch}>  {"Execute Standalone Launch"}</button>;const startStandaloneLaunch = () => {  const emrType = YOUR_REACT_APP_EMR_TYPE.toLowerCase() as EMR; // YOUR_REACT_APP_EMR_TYPE must be set to 'EPIC' or 'CERNER' (More EMRs to come!)  const emrEndpoints = ClientUtils.getEndpointsForEmr(emrType);  const iss = emrEndpoints.r4.toString(); // Defaults to the EMR sandbox endpoint for testing.  const pathname = '/standalonelaunch' // This pathname should make a request to the page that runs 'handleWebLaunch'   const search = `iss=${encodeURIComponent(iss)}`  window.location.href = `${pathname}?${search}`;};

Integrate with Different Health IT Systems

Integrations

Problem

App developers need reliable pipelines to access and use EHR data in modern apps.

Use Cases

Registry App

Problem

Solution

Includes

Tracking Order Status

Problem

Solution

Includes

Viewing Clinical Data

Problem

Solution

Includes

Creating International Patient Summary (IPS)

Problem

Solution

Includes

Storing data in Common Data Model (CDM) Infrastructure

Problem

Solution

Includes

Feed your Health Data into Gen AI

Problem

Solution

Includes

Integrate with Different Health IT Systems

Problem

Solution

Includes

Talk to us about your use case