Mapping the Patient Journey for Better Care and Cost Savings
HealthPath, a regional healthcare provider, struggles to track patient journeys across disjointed data sources. This leads to delayed treatments, redundant tests, and $8M in annual inefficiencies.
Demo Overview
In this demonstration, you'll see how Graphora transforms unstructured healthcare data into interactive visualizations that reveal both individual patient journeys and population-level patterns, enabling better clinical decision-making and care pathway optimization.
The Problem
Clinicians and researchers struggle to understand the complex temporal relationships between symptoms, treatments, and outcomes, while population health managers lack clear visibility into comorbidity patterns across patient groups.
Graphora's Solution
By extracting and connecting timeline events from patient records and identifying relationships between conditions across populations, Graphora reveals critical patterns that traditional analytics miss.
Demo Process
Step 1: Upload Unstructured Data
Upload physician notes, EHR records, lab results, and prescription data into Graphora.
Upload Data Files
Drag and drop your files here, or
Accepted files: TXT, CSV, JSON, XLSX
Or use sample files:
| File Name | Type | Size |
|---|---|---|
| ehr_records.json | application/json | 3.2 MB |
| clinical_notes.txt | text/plain | 2.4 MB |
| medication_orders.csv | text/csv | 1.1 MB |
| lab_results.csv | text/csv | 890 KB |
Upload files to visualize patient journey data