
Data Harmonisation & Analytics Platform
turn your fragmented data into an AI-ready infrastructure
Platform Features

Multimodal Data Harmonisation
Multi-modal record integration to securely harmonise both structured and unstructured formats.

Healthcare Semantic Model
Eliminate repeated data cleaning & transformation, reducing time and cost for data & AI projects.

Technical Analytics Environment
Analytics workbenches for secure data sharing, with interactive notebooks via Vertex AI.


Healthcare
Agents
Clinical-Grade Quality, Privacy & Security
Chat-style interfaces for cohort & population health analysis, and authorised content Q&A.
Healthcare-specific tools for de-identification, consent management & hallucination elimination.


Clinical Entity Extraction
80% of healthcare information is stored in unstructured formats, such as reports, letters, summaries, clinical notes, letters and any other free-text sources.
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Propel's Unstructured Data Pipeline transforms unstructured documents into structured insights, enriching your data warehouse with whole-of-health record information for a complete view of patient health.


Harmonised data from structured & unstructured sources yields 5x more patients identified for a Quality Use of Medicine program.
Population health initiatives rely on high quality structured data to find patients that meet a clinical eligibility definition. However, structured or coded data is often limited and incomplete. Enriching the structured data warehouse with information extracted from unstructured sources provides a whole-of-health record view for eligibility screening.
