Curated by experts, scaled by AI
Clinicians define and drive what data gets extracted, so only clinically meaningful information is selected for processing.
Definitions follow how the field measures disease today, including newer measures that are replacing older ones in practice.
AI reads structured fields and free-text notes to capture each value along with the context that makes it usable.
Clinical logic reconciles conflicting entries, and trained abstractors review ambiguous or incomplete records.
Values are mapped to consistent units, categories and timing across sites and EHR systems.
Each data point keeps its provenance, so you can see where it came from (e.g. from a structured field or a clinical note).
Extracted values are checked against a clinically adjudicated reference standard.
Each variable is then tested against clinical expectations, to confirm it behaves the way specialists would predict.
Every variable ships with its definition, creation method, provenance and validation status.
Clinicians define and drive what data gets extracted, so only clinically meaningful information is selected for processing.
Definitions follow how the field measures disease today, including newer measures that are replacing older ones in practice.
AI reads structured fields and free-text notes to capture each value along with the context that makes it usable.
Clinical logic reconciles conflicting entries, and trained abstractors review ambiguous or incomplete records.
Values are mapped to consistent units, categories and timing across sites and EHR systems.
Each data point keeps its provenance, so you can see where it came from (e.g. from a structured field or a clinical note).
Extracted values are checked against a clinically adjudicated reference standard.
Each variable is then tested against clinical expectations, to confirm it behaves the way specialists would predict.
Every variable ships with its definition, creation method, provenance and validation status.
- External claims data
- External death records
Evidence built to face scrutiny
For regulators, payers and peer reviewers, rigor starts with the data: disease-specific models, with every variable checked against a clinically adjudicated reference standard and against how clinicians expect it to behave in practice.
New questions don't always need new studies
Pedestal can access existing records to derive a variable, define a sub-cohort, or pull detail from clinical notes of patients already followed at sites in our network.
No new protocol and no new sites to stand up, so new variables arrive in weeks instead of months.
Patient activation for prospective data
Some critical research measures aren’t part of routine care. We can consent and enroll eligible patients to collect what is required.
| Clinician-reported outcomes | Standardized ratings of disease burden | Prospective data capture |
|---|---|---|
| Deep biological profiling | Understanding biology beyond standard labs | Prospective data capture |
| Protocol-defined clinical assessments | Consistent, standardized measures | Prospective data capture |
Pedestal Health Solutions
Pedestal builds full-spectrum evidence around your question. We help you combine the solutions that fit.
Observational Research
Data licenses
Analysis-ready, longitudinal datasets, curated by clinicians and validated before delivery. Each license is delivered with a data dictionary and analytic guide, refreshes quarterly, and can be extended with custom variables or claims linkage.
Analytic services
For your toughest questions, Pedestal's clinicians and scientists can design and run the analysis with you, from protocol to publication, on the same data your team licenses.
Prospective data collection
From a single questionnaire to a full prospective cohort, we collect new data from patients seen at Pedestal Health Network sites. It builds on existing EHR data, runs as an amendment with current sites, and can include interventional elements.
Interventional Research
Full-service clinical trials
For interventional studies, Pedestal runs the trial end to end, at sites and with investigators already familiar with your patient population.
Site activation through existing master trial agreements.
Data management and biostatistics.
Study operations from protocol to close-out.
WHAT SETS US APART:
Clinical and quantitative science expertise from the team that builds our real-world data.
Trials that build on the same cohorts, sites and data as our observational research.
Partnering from early research to care
From mapping disease progression and unmet need to supporting regulatory submissions and payer conversations, evidence needs change at every stage.
For research partners in early development and translational research, Pedestal Health's cohorts surface what's already known and what's still unknown — the patient populations underrepresented in trials, the comorbidity profiles that affect treatment selection, the diagnostic patterns that determine when patients enter the treatment pathway, and the operational feasibility of asking the right questions across academic and community sites. Prospective studies and clinical trials run within the cohort and site infrastructure for sponsors who want to extend rather than restart.
Regulatory - HEOR / Market Access - Payers - Medical Affairs
Post-authorization safety studies.
Supplementation of regulatory submissions with longitudinal evidence
External control arm contributions to FDA and EMA filings.
Comparative effectiveness.
Market access evidence.
Publication strategy and support.
Clinicians - Health systems - Care delivery teams - PI-led research
Treatment pattern characterization in routine practices
Long-term effectiveness and safety.
Clinical decision support evidence.
Therapeutic inertia and treat-to-target gap analyses.
Partnership infrastructure for clinician-led research and publications.
Better evidence doesn’t just support decisions — it helps you move faster, reduce risk and accelerate therapies to patients.
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