Autonomously convert unstructured clinical text into standardised codes across diagnoses, procedures, drugs, lab and radiology data – and more.

Health businesses often struggle to unlock the full value of their data – to make informed decisions that improve performance, reduce costs, and ensure fair reimbursement. Inconsistent formats, unstructured free text, and non-standard documentation make it difficult to analyse care delivery, measure performance, or design fair and efficient reimbursement models. To drive better decisions at scale, health systems need a way to reliably structure and standardise clinical information across settings.

Power smarter healthcare decisions with Clinical Informatics

Autonomously translate unstructured clinical free text into structured, standardised codes using using deep learning and AI agents – to encode diagnoses, procedures, medications, pathology, radiology, and more to international and local clinical schemas. Create a clinically enriched, standardised database that brings patient journeys, treatment decisions, and cost drivers into clear view – laying the foundation for advanced analytics, performance benchmarking, and smarter health system design.

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Why Clinical Informatics?

Translate free-text clinical descriptions into standardised codes up to 85% faster than manual coding. AI agents are continuously trained and validated by expert clinical coders with international and local market experience, delivering outcomes that match human-level accuracy. Robust clinical and AI governance ensures full auditability and end-to-end validation.

Encode across all major global and local clinical coding systems – including ICD, DRG, ATC, MMA, GMDN, and more – covering 19+ clinical domains such as diagnostics, procedures, medications, devices, and accommodations. Built-in version control keeps mappings automatically up to date, ensuring long-term reliability.

Leverage an agentic AI system trained on over 50 million claim lines, combining clinical natural language processing and deep learning models to intelligently interpret new clinical descriptions and scale rapidly into new geographies. Flexible deployment options – batch, real-time API, or hybrid – let clients integrate seamlessly with existing systemsand go live in days, not months.

Map unstructured data faster than ever – without compromising accuracy

Achieve comprehensive coverage across standards and domains

Scale effortlessly across markets and environments

With Clinical Informatics, you can:

1. Enable granular FWA detection in medical claims

Power AI algorithms that granularly detect FWA in medical claims down to the individual line level – and spot anomalies and suspicious items that header-only detection tools miss.

2. Enable clinical measurement across your provider network

Measure provider performance on a level playing field – with comparable clinically-encoded data that has been risk-adjusted for case complexity, comorbidities, and patient mix. Rank and segment providers by cost efficiency and outcome measures to identify high value partners.

3. Enable clinically-validated claim adjudication rules

Automatically adjudicate health claims from providers with precision, by preconfiguring rules that validate incoming claims data against specific clinical codes.

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1. Automatically code accurate, complexity-aware bills for reimbursement

Document every nuance of clinical severity and comorbidity so your billing reflects true case complexity, minimising denials and maximising fair payment.

2. Optimise resource planning & cost analysis

Understand resource utilisation and costs of care for specific patient populations, by grouping patients based on their Diagnosis Related Group (DRG), and tracking their clinical variation.