EvidenceKit · Analytics + Data

Everything a researcher needs to go from question to publication.

Closed claims data published in JAMA, Science, and BMJ, paired with AI analytics that turn natural language questions into validated, publication-ready studies.

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HIPAA Expert Determination certified

Research question

"What are the treatment patterns for newly diagnosed Type 2 Diabetes patients aged 40–65 with commercial insurance?"

Mapping cohort

Running analysis

Generating output

Results · 3 min 42 sec

Cohort size 2.8M patients

First-line metformin 67.3%

GLP-1 initiation 18.9%

Publication-ready output

Ready to submit · No SAS/R/Python

Peer-reviewed in

JAMA Science BMJ

All-payer claims · Jan 2020–present

WHO IT'S FOR

One platform for every research team.

From academic medicine to biopharma, EvidenceKit supports the full spectrum of real-world evidence research.

Clinical Researchers

HCOs · Health Systems

Health Services Researchers

Policy · HEOR · Population

Biopharma & Life Sciences

HEOR · Medical Affairs · Market Access

Fellows & Trainees

Academic Training · First publications

Principal Investigators

Grants · Multi-study programs

What's included

From data to evidence, in one subscription.

Claims Data

HealthVerity Closed Claims Data

Millions of de-identified patients. All-payer (commercial, Medicare, Medicaid). Longitudinal from 2020, linked mortality. Post-adjudicated closed claims.

Millions of de-identified patients
Commercial, Medicare, and Medicaid coverage
Longitudinal from January 2020, quarterly refresh
Linked mortality data
Post-adjudicated closed claims

AI Analytics

Medeloop Analytics

Ask research questions in plain English. AI agents handle cohort construction, statistical analysis, and publication-ready output, with validation built in at every step.

Ask questions in plain English: no coding required
Semantic code engine: maps to ICD-10, CPT, NDC, SNOMED automatically
Validated at every step, from query to result
Outputs ready for publication, IRB review, or board presentations
Human-in-the-loop at every step, full audit trail included

Why EvidenceKit

The fastest path from question to published evidence.

Months → Minutes

What used to take an entire quarter, you can do in a single research session.

All-payer

Commercial, Medicare, and Medicaid in one longitudinal dataset. No single-payer bias.

Zero setup

Dataset is pre-loaded. Analytics are built in. Ask a question and get results.

Peer-reviewed data

HealthVerity data published in leading journals including JAMA, Science, and BMJ.

IRB-friendly

HIPAA Expert Determination certified. Non-human-subjects research at most institutions.

Why EvidenceKit

Why researchers switch to EvidenceKit

Traditional research workflows are slow, expensive, and inaccessible. EvidenceKit removes every barrier between your question and your publication.

Without EvidenceKit

$50K–$200K+ in data licensing before a single query
Weeks to months of legal and IT procurement cycles
Single-payer datasets that bias your study populations
Separate tools to access, clean, and analyze your data
IRB review for raw data adds months to timelines

With EvidenceKit

Millions of de-identified patients, pre-loaded: no procurement
All-payer coverage: Commercial, Medicaid, Medicare
Medical claims, pharmacy, enrollment, mortality. Jan 2020–present.
AI analytics platform: no code, no infrastructure
HIPAA Expert Determination; most institutions skip IRB review

Post-adjudicated closed claims · Quarterly refresh · Peer-reviewed in JAMA, Science, BMJ

What you can research

Example queries across study types, each completed in minutes.

Cohort Analysis Example Query

"What is the prevalence of Type 2 Diabetes among adults aged 40–65 with commercial insurance?"

12.8% prevalence identified across 3.2M eligible patients with statistical confidence

Treatment Patterns Example Query

"What are the first-line treatment patterns for newly diagnosed hypertension patients?"

ACE inhibitors remain the most common first-line therapy at 41.3% of prescriptions

Comparative Effectiveness Example Query

"How do GLP-1 receptor agonists compare to SGLT2 inhibitors for cardiovascular outcomes?"

GLP-1 agonists showed HR 0.77 for MACE versus SGLT2 inhibitors in adjusted analysis

Healthcare Utilization Example Query

"What are the 30-day readmission rates for heart failure across payer types?"

Medicaid patients showed 28% higher 30-day readmission rates vs. commercial

Adherence & Persistence Example Query

"What is the 12-month adherence rate for GLP-1 agonists among patients newly diagnosed with Type 2 Diabetes?"

62.1% maintained adherence at 12 months; 38% discontinued within 6 months

Cost & Burden of Illness Example Query

"What is the total annual healthcare cost burden for patients with COPD compared to matched controls?"

COPD patients incurred $24,800 higher annual costs vs. controls; 3.4× more ED visits

Prevalence & Incidence Example Query

"What is the incidence rate of new atrial fibrillation diagnoses among Medicare patients aged 65+ from 2020–2023?"

18.4 per 1,000 patient-years; 12% higher in males; highest incidence in the Southeast

Dataset at a glance

All-payer claims data. Ready now.

Dimension	Detail
Population	~35 million de-identified patients
Timeframe	January 2020 – present
Geography	United States
Data Types	Closed medical claims, pharmacy claims, enrollment, mortality
Payer Mix	Commercial (60%), Medicaid (30%), Medicare (13%)
Claims Type	Post-adjudicated, closed claims (actual cost of care)
Data Lag	90–120 days
Refresh	Quarterly
Validation	Peer-reviewed publications in leading journals (JAMA, Science, BMJ)
Compliance	HIPAA Expert Determination certified
IRB	Most institutions classify as non-human-subjects research

Getting Started

Onboarding is immediate. Connect to the platform, ask a research question, and receive results the same day. No data transfers, no setup period, no training required.

Run your study today. Fund your next one tomorrow.

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