iHealth - Clinical Intelligence
iHealth · Clinical Research

Recruit faster. Reduce costs. Do real clinical research in Brazil.

Brazil has the potential to more than double the number of clinical trials per year — from 254 to up to 635 studies, according to ANAHP. The bottleneck isn't a lack of patients or qualified sites. It's the difficulty of finding the right patients, at the right time, with the right data.

iHealth solves this bottleneck. With a longitudinal clinical database of +5 million patients and clinical NLP in medical Portuguese, we identify eligible profiles in minutes — not weeks — and map the best sites for your protocol.

The challenge

Slow recruitment is the biggest cost of a clinical trial. And it's avoidable.

On average, patient recruitment accounts for more than 30% of the total cost of a clinical trial and is responsible for most delays. In Brazil, the process is even slower: identifying eligible patients depends on manual chart review — work that can take months per investigator site.

The result: studies that reach Brazil late, sites underutilized due to a lack of confirmed profiles, and protocols that close recruitment below target.

iHealth reverses this logic. Our platform reads the medical record, extracts relevant clinical variables using NLP, and cross-references them with the protocol's inclusion and exclusion criteria — delivering a qualified list of eligible candidates in minutes, with auditable documentation for use in the regulatory process.

Ver as soluções
Clinical research and intelligent patient recruitment with iHealth
Solutions

What iHealth delivers in Clinical Research

Intelligent Identification of Eligible Patients

Our platform cross-references the protocol's inclusion and exclusion criteria with iHealth's longitudinal clinical database — reading structured and unstructured variables from the medical record. Primary and secondary diagnoses, current line of treatment, use of specific medications, comorbidities, biomarkers and clinical history — all extracted through NLP in medical Portuguese. Result: a qualified list of eligible candidates in minutes, with full traceability for regulatory use.

Our platform cross-references the protocol's inclusion and exclusion criteria with iHealth's longitudinal clinical database — reading structured and unstructured variables from the medical record. Primary and secondary diagnoses, current line of treatment, use of specific medications, comorbidities, biomarkers and clinical history — all extracted through NLP in medical Portuguese. Result: a qualified list of eligible candidates in minutes, with full traceability for regulatory use.

Protocol Feasibility Analysis

Before activating a site, understand whether the patient profile exists in your hospital base. iHealth conducts epidemiological feasibility analyses per protocol and per site — estimating the number of eligible patients, expected recruitment time, and how well the local clinical profile matches the study's criteria. Activation decisions based on real data, not projections.

Before activating a site, understand whether the patient profile exists in your hospital base. iHealth conducts epidemiological feasibility analyses per protocol and per site — estimating the number of eligible patients, expected recruitment time, and how well the local clinical profile matches the study's criteria. Activation decisions based on real data, not projections.

Investigator Site Mapping

Identification of the sites with the highest concentration of patients matching the protocol's profile — by region, specialty, and clinical history of the population served. We prioritize sites with real longitudinal data that support confirmed eligibility, reducing activation time and increasing screening conversion rates.

Identification of the sites with the highest concentration of patients matching the protocol's profile — by region, specialty, and clinical history of the population served. We prioritize sites with real longitudinal data that support confirmed eligibility, reducing activation time and increasing screening conversion rates.

Digital Study Monitoring

Continuous monitoring of recruitment progress and clinical outcomes throughout the study — integrated with the medical record systems of partner sites. Automatic alerts for adverse events, protocol deviations, and progress milestones. Real-time dashboards for sponsors, CROs, and clinical operations teams.

Continuous monitoring of recruitment progress and clinical outcomes throughout the study — integrated with the medical record systems of partner sites. Automatic alerts for adverse events, protocol deviations, and progress milestones. Real-time dashboards for sponsors, CROs, and clinical operations teams.

Regulatory and Documentation Support

The entire evidence chain generated by iHealth is documented with full traceability — from the source data to the confirmed eligibility criterion. Support for submission to the Ethics Committee (CEP), CONEP and ANVISA, with documentation packages aligned to Brazilian and international regulatory requirements (ICH E6, FDA 21 CFR Part 11).

The entire evidence chain generated by iHealth is documented with full traceability — from the source data to the confirmed eligibility criterion. Support for submission to the Ethics Committee (CEP), CONEP and ANVISA, with documentation packages aligned to Brazilian and international regulatory requirements (ICH E6, FDA 21 CFR Part 11).

Why iHealth

What sets us apart from any other data source in Brazil

Proprietary data — not third-party

iHealth owns its data infrastructure. We don't broker data from other sources — we generate, structure and maintain our own longitudinal clinical database, with full control over quality, traceability and regulatory compliance.

iHealth owns its data infrastructure. We don't broker data from other sources — we generate, structure and maintain our own longitudinal clinical database, with full control over quality, traceability and regulatory compliance.

NLP built for Brazilian medical Portuguese

Our NLP engine is not a generic tool adapted to Portuguese. It was built from the ground up for the vocabulary, abbreviations, and narrative structures of Brazilian medical Portuguese — with clinical accuracy validated by specialists.

Our NLP engine is not a generic tool adapted to Portuguese. It was built from the ground up for the vocabulary, abbreviations, and narrative structures of Brazilian medical Portuguese — with clinical accuracy validated by specialists.

Real multiregional coverage

40+ hospitals across all 5 regions of Brazil — not just São Paulo and Rio. This means real epidemiological representativeness of the Brazilian population, with geographic, demographic and treatment-pattern diversity.

40+ hospitals across all 5 regions of Brazil — not just São Paulo and Rio. This means real epidemiological representativeness of the Brazilian population, with geographic, demographic and treatment-pattern diversity.

Governance and regulatory compliance

LGPD-first architecture with anonymization at the source, irreversible hashing, full lineage and documented legal bases. Outputs ready for regulatory submission to CONITEC, ANVISA, FDA and EMA.

LGPD-first architecture with anonymization at the source, irreversible hashing, full lineage and documented legal bases. Outputs ready for regulatory submission to CONITEC, ANVISA, FDA and EMA.

Part of Brazil's largest clinical alliance

Your next project needs real clinical data from Brazil.

We have the database. We have the methodology. And we have the hospital partners to support your project — from design to results.

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