See the Full Picture. Every Claim. Every Visit.
Patient Histories transforms raw claims data into a structured, longitudinal view of your patient's complete healthcare journey — from chronic conditions to surgical procedures — delivered in 24 hours with 95% accuracy.
Manual Patient Screening is Slow and Incomplete
Organizations across clinical research, insurance, and legal spend weeks piecing together fragmented patient histories from incomplete records and outdated databases.
Fragmented Records
Patient data lives in dozens of disconnected systems. Assembling a complete picture means manual requests, phone calls, and weeks of waiting — if you can find the data at all.
Missed Critical History
Without a longitudinal view, screening teams miss chronic conditions, prior procedures, and medication patterns that are essential for accurate case evaluation.
Slow Turnaround
Traditional methods take weeks to compile a patient's history. By then, clinical trial windows close, case deadlines pass, and underwriting decisions stall.
One Platform. Four Industries Served.
Patient Histories leverages identified claims data to deliver comprehensive healthcare timelines tailored to the specific screening needs of each industry.
Clinical Studies
Screen patients for clinical trial inclusion with complete diagnosis, procedure, and medication histories — reducing enrollment time and improving trial quality.
Insurance
Power risk assessments and underwriting decisions with verified claims data spanning chronic conditions, surgical history, and prescription patterns.
Mass Tort
Identify qualifying patients for mass tort litigation with structured evidence of relevant diagnoses, treatments, and provider encounters.
Personal Injury
Validate injury claims with a complete treatment timeline showing pre-existing conditions, incident-related care, and ongoing treatment patterns.
From Patient Data to Complete History
Submit minimal patient identifiers and receive a comprehensive, structured healthcare timeline within 24 hours.
PATIENT IDENTIFIERS
From Identifiers to Insight
Submit Patient Data
Provide basic patient identifiers — name, date of birth, and zip code — through our secure portal or API.
Claims Data Mining
Our engine queries aggregated claims data from clearinghouses and payors, covering medical and prescription records back to 2018.
Data Structuring
Raw claims are transformed into a structured, longitudinal timeline organized by diagnosis codes, procedures, provider encounters, and medications.
Results Delivered
Receive a standardized JSON or flat file with complete patient history — ready for screening, risk assessment, or case evaluation.
What You Actually Get
See how Patient Histories transforms a simple patient lookup into a structured care timeline ready for screening and case evaluation.
USE CASE: MASS TORT SCREENING
A mass tort law firm submits Maria Santos (DOB: 03/15/1962, Zip: 33101) for lung cancer litigation screening. Within 24 hours, Patient Histories returns a complete longitudinal care timeline revealing her full treatment pathway.
Care Timeline Returned
Initial Screening
Mar 2025Metro Radiology Associates · Dr. Laura Nguyen
Diagnostic Workup
Apr 2025Metro Pulmonary Clinic · Dr. Priya Patel
Pathology Confirmation
Apr 2025Metro Pathology Lab · Dr. Alan Chen
Surgical Treatment
May 2025Metro General Hospital · 3-day inpatient stay
Structured JSON Output
{
"patient": {
"name": "Maria Santos",
"dob": "03151962",
"gender": "F",
"zip": "33101"
},
"claims": [
{
"claim_id": "8291047362",
"member_id": "XKW9382710A",
"group_plan": "GRP00481726",
"payer_name": "BlueCross BlueShield of Florida",
"claim_type": "Professional",
"service_date": "03122025",
"primary_dx": "Z12.2",
"procedures": ["71271", "G0296"],
"provider_npi": "1234567890",
"provider_name": "Laura Nguyen MD",
"facility": "Metro Radiology Associates"
},
{
"claim_id": "8291058941",
"member_id": "XKW9382710A",
"group_plan": "GRP00481726",
"payer_name": "BlueCross BlueShield of Florida",
"claim_type": "Institutional",
"service_date": "04082025",
"primary_dx": "C34.11",
"procedures": ["88309", "88342"],
"provider_npi": "0987654321",
"provider_name": "Alan Chen MD",
"facility": "Metro Pathology Lab"
}
],
"medications": [
{
"ndc": "00409236001",
"description": "Fentanyl Citrate",
"dispensed_date": "05202025",
"days_supply": 3,
"prescriber_npi": "5678901234"
}
],
"summary": {
"total_claims": 7,
"date_range": "03/2025 - 05/2025",
"unique_providers": 4,
"unique_facilities": 4,
"primary_diagnoses": ["C34.11", "R91.1", "Z12.2"]
}
}Sample output condensed for illustration. Full response includes all claims, line items, and provider details.
Why Patient Histories is Fundamentally Better
Replace weeks of manual record gathering with a single request that delivers a complete, structured patient timeline.
Manual Screening vs. Patient Histories
Manual Screening
Patient Histories
The Automation Advantage
Comprehensive results that transform patient screening across industries
"Patient Histories gave us what used to take our team three weeks in just 24 hours. The structured claims data transformed our screening process — we're identifying qualified patients faster and with far greater confidence than manual record review ever allowed."
VP of Clinical Operations
Clinical Research Organization
Ready to See the Complete Patient Picture?
From clinical trials to insurance underwriting, Patient Histories delivers the longitudinal data you need — in 24 hours, not weeks.
95% Accuracy
Claims-verified healthcare data
24hr Delivery
Complete history in one day
API Access
Integrate into any workflow