Real clinical data from over 5 million patients, structured by NLP trained on Brazilian medical Portuguese and integrated into a single multi-regional collaborative data lake. For pharma companies that need regulatory-grade evidence. For hospitals that need precise clinical and operational decisions.
Data intelligence applied vertically to every decision-maker in the healthcare ecosystem.
Turn the volume of care data already sitting in your systems into operational, clinical and financial intelligence. AI-powered billing audit, automated DRG coding, patient safety dashboards, intelligent patient-profile search for clinical research and evidence-based strategic management — built on real-world records, not samples.
Generate regulatory-grade real world evidence for CONITEC, ANVISA and global submissions. Map epidemiological scenarios, design real-life studies, build external control arms and define market access strategies with longitudinal clinical data from real Brazilian patients — structured by NLP and clinically validated.
Our natural language processing engine was purpose-built for Brazilian medical Portuguese. It reads physician notes, nursing records, prescriptions and reports — extracting structured clinical variables from free text at scale. Over 100 million texts processed.
A multi-regional clinical database with longitudinal data from more than 40 selected hospitals across the 5 regions of Brazil. It combines structured and unstructured records — from admission to discharge — into a single federated, anonymized and auditable data backbone.
Language models adapted to the clinical domain for automated medical record summarization, diagnosis and procedure coding, adverse event detection and large-scale analysis of clinical text.
Analytics tailored to every decision-maker: clinical and care indicators for hospital executives, epidemiological and access evidence for pharma teams, and financial and audit dashboards for payers and controllers.
LGPD-first architecture with anonymization at source, irreversible hashing, a full data catalog, access control by clinical domain and complete data lineage — from capture to analytical consumption.
"Technology that turns the silence of clinical data into a strategic voice."
Applied solutions that connect clinical data to decisions — across the entire product and care lifecycle.
Regulatory-grade evidence generation from longitudinal real-life data. External control arms, comparative effectiveness studies, burden of disease and living registries for CONITEC, ANVISA and global submissions.
Health economics analyses, cost-effectiveness models and value dossiers for technology assessment with Brazilian and LATAM HTA bodies. Built on real data, not theoretical projections.
Intelligent identification of eligible patients across large hospital databases, protocol feasibility analysis and digital study follow-up. Faster recruitment, lower operational cost.
Precise identification of clinical profiles across a base of more than 5 million lives — by diagnosis, line of therapy, comorbidities, biomarkers and clinical variables extracted by NLP. For research, commercial and access teams.
A custom BI platform for clinical, financial and care performance. Real-time indicators for hospital executives, physicians and quality teams — powered by your own medical records, structured and interpretable.
Automated coding of diagnoses and procedures with intelligent detection of inconsistencies in hospital billing. Reduce claim denials, increase billing accuracy and ensure care compliance at scale.
iHealth was built with an LGPD-first architecture from day one. Anonymization at capture, active governance across every clinical domain, complete lineage traceability and documented legal bases — with a dedicated DPO and continuous processing audits. Your data, and your patients' data, protected at every step: from ingestion to analytical consumption.
PII removed at source with irreversible hashing and multi-layer validation before any analytical access.
Legal bases documented by purpose of use, a dedicated DPO, data mapping and continuous processing audits.
A structured data catalog, granular access profiles and versioned policies by clinical domain and purpose.
Complete data lineage: origin, transformation, who accessed it, when, for what purpose — and when it expires.
Coverage, interviews and mentions in leading outlets about clinical data, AI and healthcare in Brazil. Articles are published in Portuguese.
Part of Brazil's largest clinical alliance
We have the database. We have the methodology. And we have the hospital partners to support your project — from RWE and Market Access to clinical research and hospital audit.
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