Founding Centers Program

Clever Health

Real-World Evidence Platform · Care + Science + Management

From the visit to scientific evidence, in a single flow.

Clinical data is structured at the moment of care — and becomes science without exports, spreadsheets, or rework.

Nominate my center Explore the platform

Platform in assisted operation at a reference center. Commercial rollout in stages, with priority for Founding Centers.

01

Care

The physician documents the visit in a specialty-modeled record, with AI support.

02

Structured at the source

Every record is born standardized in HL7/FHIR — ready for analysis, with no re-entry.

03

Science and management in real time

The same data feeds research cohorts, multicenter studies, and value indicators.

100%

of data structured at entry

HL7/FHIR

native interoperability by default

3 modules

care, science, and management in one flow

1 record

feeds the record, research, and indicators

The problem

Care generates data every day. Almost none of it becomes evidence.

Brazil has substantial care volume and remains underrepresented in the world’s Real-World Evidence — not for lack of data, but for lack of infrastructure that can structure it with ease and data governance.

The data exists, but it cannot be used

Much of the clinical information is recorded as free text. Without structure it cannot be filtered, joined, or analyzed — the patient history stays invisible to science.

Days of work between the data and the hypothesis

Export the database, build spreadsheets, standardize variables, clean inconsistencies. The manual flow consumes the researcher’s time before the first analysis.

The record and research live in separate worlds

Care systems were not designed for research; research tools do not take part in care. The result is re-entry, lost context, and underproduction of evidence.

What the literature shows: clinical research infrastructure remains fragmented and inefficient, limiting the quantity and quality of evidence generated (Franklin et al., JAMA, 2024). Among quality dimensions of digital health data, consistency and accessibility determine whether the record can be reused for research (Syed et al., 2023). The Clever Health Platform was designed to solve exactly those two dimensions — at the source.

The platform

One data entry. Three destinations.

Care, science, and management run on the same structured base. The visit note automatically feeds the research module and management dashboards — no re-export, no rework, and no loss of clinical context.

Care

Electronic health record with AI

Dynamic specialty modeling — not a generic form, the record of your practice. Built to feel natural in the physician’s day.

  • AI listens to the visit, with documentation and automatic summaries — always reviewed by the physician
  • PDF labs imported and organized automatically into tables and trend charts
  • Complete longitudinal history and a substantial reduction in documentation time
  • Patient portal: access to their own labs, quality-of-life questionnaires, and a clinical case summary

Science

Native RWE research module

The care data is the research data. Evidence is born from real care, at scale and in real time.

  • Cohorts and outcomes identified by AI
  • Flagging of patients eligible for studies
  • Multicenter network under a single protocol
  • Research data without patient identification (pseudonymization) and integrated digital consent

Management

Indicators and value-based healthcare

Outcomes and costs followed across the full care cycle — a complete picture of your service, with or without research activity.

  • Your own clinic’s data: outcomes, patient profile, and production
  • Care-quality indicators
  • Value view by care pathway
  • An auditable base for management and research

From the visit to evidence without changing systems · AI that supports without replacing · interoperability that connects without locking in, with integration to other ERPs and health systems via HL7/FHIR

Real-World Evidence

Scientific evidence is born at the moment of care.

Quality RWE is not produced afterwards — it is structured beforehand. By capturing standardized data at the visit, the Clever Health Platform turns everyday care into usable scientific evidence.

Structured at the source

Specialty modeling and HL7/FHIR standards ensure consistency from the first entry — the dimension the literature identifies as decisive for scientific reuse of clinical data.

Accessible for analysis

Native integration between care and science keeps data available to filter, join, and analyze the instant it is generated — no export and no retrospective cleaning.

AI in service of science

Artificial intelligence finds cohorts, patterns, and outcomes that isolated data do not reveal, and flags patients eligible for ongoing studies — always under the researcher’s supervision.

Evidence the ecosystem demands

As the network of centers densifies, the structured base becomes quality RWE — input increasingly required in regulatory, care, and health-technology adoption decisions.

Multicenter studies

Native multicenter research, under a single protocol.

Connect researchers, clinics, hospitals, and research centers on the same data infrastructure — and reach statistical power no institution would achieve alone.

01

One protocol, standardized variables

Every center collects under the same design, with automatic variable standardization. The heterogeneity that undermines traditional multicenter studies is removed.

02

AI-accelerated recruitment

Eligible patients are flagged in each center’s routine care, shortening the path from study design to a complete cohort.

03

Ethics governance by design

Research data circulates without patient identification (pseudonymization) and with digital consent recorded in the platform, plus audit trails and processing roles under Brazil’s LGPD — design requirements, not add-ons.

04

A consolidated view for the principal investigator

Real-time follow-up of recruitment, data completeness, and outcomes across all participating centers.

Centers connected under a single protocol, with standardized and pseudonymized data.

Responsible artificial intelligence

AI supports. The decision is always the physician’s.

A Clinical Decision Support System, by definition.

The Clever Health Platform’s artificial intelligence is contextual and cross-cutting, under an explicit, non-negotiable principle: it has no diagnostic autonomy. That design protects clinical safety, regulatory standing, and trust — from the exam room to the ethics committee.

CDSS · no diagnostic autonomy

  • Automatic visit summaries, reviewable by the physician
  • Intelligent organization of the patient’s longitudinal history
  • Identification of cohorts, patterns, and outcomes for research
  • Flagging of patients eligible for ongoing studies
  • Less paperwork, with no interference in clinical judgment

Positioning

A new category between operations and research.

The market has excellent health operations systems and dedicated research-capture tools. The Clever Health Platform exists to occupy the space that remained empty between them.

Health operations systems

They handle the care, administrative, and financial flow of hospitals and clinics well. Scientific research is not their purpose: the data stays oriented to operations, not evidence.

Research tools

Established for structured collection on scientific projects, they sit outside care: they require re-entry of care data, with time cost, error risk, and lost clinical context.

Clever Health

Designed for a continuous flow

The care data is the research data. One platform supports care, structures information at the source, and turns it into scientific evidence and value indicators — in real time.

Occupying the new category does not mean replacing what already works: the Clever Health Platform integrates with health operations systems in use and exports structured data to research tools.

1st place

Tecnopuc Garage (19th edition)

TOP 1,000

Most promising startups in Brazil — Sebrae Startups 2026

BioHub

PUCRS BioHub ecosystem

Validated

Platform validated in a real IBD clinical setting

Vertical strategy

Depth before breadth.

The Clever Health Platform starts with Inflammatory Bowel Disease (IBD) — chronic, longitudinal, complex conditions where continuity and quality of clinical data have a direct impact on outcomes and research.

The choice is deliberate: consolidate a structured data base in a high-density scientific domain before expanding to new specialties. That is how a reference evidence infrastructure is built — neutral, auditable, and trustworthy.

Inaugural vertical: IBD

A specialty-modeled record, validated in a real clinical setting with physician-researchers in the field.

Specialist network

Expansion guided by the specialty’s scientific community, center by center, study by study.

New chronic, longitudinal verticals

The model is replicated in specialties where the clinical history is itself the scientific object.

Early access

Founding Centers Program

The Clever Health Platform is not yet in open commercial release. Before that, a small group of physician-researchers and centers will be invited to found the network — and to shape the platform they will use.

Limited seats by specialty and region

Founder terms

Differentiated, permanent commercial terms for centers that join before commercial opening.

Priority in the multicenter network

Preferred participation in the first multicenter studies run on the platform.

Direct influence on the roadmap

Access to the founding team and an active voice in prioritizing features for your specialty.

Assisted implementation

Onboarding led by the Clever Health team, including AI-assisted data migration and role-based training.

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Frequently asked questions

The essentials about Clever Health.

It is scientific evidence produced from data generated in real clinical practice — visits, tests, treatments, and outcomes — as a complement to controlled clinical-trial data. RWE is increasingly required in regulatory, care, and health-technology adoption decisions.

No. The Clever Health Platform’s AI is, by definition, a Clinical Decision Support System (CDSS), with no diagnostic autonomy. It organizes information, drafts summaries, and flags patterns; the clinical decision is always the physician’s.

Different centers collect data under a single protocol, with automatic variable standardization, pseudonymization, integrated digital consent, and access governance. The principal investigator follows recruitment, completeness, and outcomes across all centers in real time.

The Clever Health Platform unites the record, research, and management in one system and can integrate with health operations systems in use through HL7/FHIR interoperability, as well as export structured data to research tools — existing systems do not have to be replaced. It also includes AI-assisted data migration, and the implementation design is defined case by case with each center during onboarding.

The platform is in assisted operation with its reference center. Commercial opening will happen in stages, with priority for centers in the Founding Centers Program.

Privacy and compliance are design requirements: research data circulates without patient identification (pseudonymization), consent is recorded digitally in the platform, and there are audit trails and processing roles defined under the LGPD. Ethical governance follows the data from entry to publication.

The future of health evidence in Brazil starts with the centers that found it.

Nominate your center for the early-access program and help build Brazil’s Real-World Evidence infrastructure.

Nominate my center

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In the press

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Biohub / PUCRS ·

(Ep. 18) Clever Health joins BioCast to talk startups, technology, and AI that changes the clinical routine

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Clever Health joins a Silicon Valley immersion

Startups incubated at PradoTech, in Gravataí, take part in a Silicon Valley immersion.
Clever Health wins the 19th Tecnopuc Garage
Tecnopuc / PUCRS ·

Clever Health wins the 19th Tecnopuc Garage

Clever Health took 1st place in the 19th Tecnopuc Garage, Tecnopuc’s business-modeling program, during Tecnopuc Experience in Porto Alegre.
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