Your patients are telling their doctors everything. Your queries don't see any of it.
Type a question in plain English. PopLens reads clinical notes alongside structured EHR data and surfaces the patients your current queries walk right past.
Care teams at health systems and ACOs pull patient lists every week. They keep missing the same people.
Queries only see what got coded
ICD codes capture the diagnosis. Lab values capture the result. Neither one touches the note where the patient said they can't afford their meds.
Notes are a black box
Housing instability. Transportation issues. Missed appointments. It all gets written down. Your queries never see it.
Risk shows up after the fact
Readmission reports tell you who came back. They don't help you get there before it happens.
Trial recruitment is a manual slog
Half of eligibility criteria live in notes - functional status, patient history, contraindications. Research coordinators review thousands of charts by hand to find 30 enrollable patients.
Who uses it
Two problems. One query interface.
Find the patients your queries are walking past
A diabetic patient has been splitting her insulin doses because she can't afford refills. Her doctor wrote it in the note three visits ago. Her ICD codes say controlled. Your current platform says she's fine. She is not fine.
Surfaces patients invisible to any structured query - ranked by clinical risk and social vulnerability score.
Relevant for
- – ACOs on value-based contracts
- – Health system care management teams
- – Payers managing chronic disease populations
Screen for eligibility in minutes, not weeks
Eligibility criteria are half structured (age, ICD codes, lab values) and half narrative (no cognitive impairment, documented adherence challenges, no recent cardiovascular events). Manual chart review to find 30 enrollable patients takes a research coordinator two weeks.
Candidate list with eligibility-relevant note excerpts surfaced. Coordinator reviews 30 names instead of 3,000 charts.
Relevant for
- – Academic medical center research sites
- – CROs managing multi-site enrollment
- – Sponsors with under-enrolling trials
How it works
Ask the way you think
Type the question a clinician would say out loud - "Diabetic patients with HbA1c above 9 whose notes mention cost barriers to medication." No SQL. No filters. No analyst request.
One search, everything included
Diagnoses, labs, medications, encounter history, clinical notes - searched together in one pass. Results come back in seconds, not a week later.
Ranked, with context attached
Every result includes the note excerpts that matched, a social risk score from public SDOH data, and a suggested outreach message. Open the chart only if you need to.
Validated on MIMIC-IV
Real de-identified data from Beth Israel Deaconess Medical Center
Social risk data from the CDC Social Vulnerability Index, USDA Food Access Research Atlas, and Area Deprivation Index is joined automatically at ingestion by ZIP code. Your team doesn't configure it. It's just there.
MIMIC-IV is a publicly available dataset. PopLens deploys on your EHR infrastructure.