Sponsors see the live funnel. Sites keep every patient interaction in one record. Coordinators work — and the analytics build themselves.
86% of trials miss their enrollment deadline. Sponsors lose $8M–$15M for every month of delay. Less than 12% of sites use structured recruitment data — the rest are flying blind.
Systems show where a patient is right now. They don't show how they got there — the missed calls, the stalled handoffs, the screen-fail reason that keeps repeating. That context disappears the moment the status changes.
One person can become multiple study records. Prior outreach, pre-screener results, and disqualification context vanish when the next trial starts.
Site A calls it "Scheduled." Site B calls it "Visit Confirmed." Neither maps to the other. Without a shared event model, multi-site benchmarking is guesswork dressed up as a report.
A biweekly PDF lands two weeks after the delay started. By the time a sponsor sees the problem, the window to course-correct has already closed.
9-stage pipeline from Got Lead to Completed. Nothing is overwritten — who changed it, when, and why is always on record.
Referral source is tracked all the way to enrollment. The predictor works backward from your target date to tell you exactly how many leads to generate this week.
Identity, intake answers, and pre-screener history persist across studies — no re-entry, no lost leads, no coordinator has to remember to check.
EnrollIQ sits beside your existing tools and turns scattered recruitment activity into one connected operating view.
One patient record across every study and site. Every call, status move, and visit outcome is written to the data layer automatically — no manual entry, no sync, no gaps.
Conversion, time-in-stage, and drop-off by site, study, coordinator, and date range.
One identity across studies, with prior contact history and eligibility context carried forward.
Forecast close dates from each site's own conversion history before milestones slip.
See which channels produce enrolled patients, not just leads, and shift budget faster.
Most systems overwrite patient status as people move through recruitment. EnrollIQ appends. Every transition becomes a permanent, timestamped event — and every forecast, flag, and insight reads from the full history.
Every status change becomes a timestamped event. Nothing is overwritten.
Backward forecasting from target + deadline, referral source ROI by channel, and screen-fail classification per criterion — all derived from real patient history, not estimates.
An API layer sits beside CTMS, EHR, and EDC systems without replacing clinical operations.
The same event model can extend into engagement, care coordination, and population health.
Forecasting models run on real patient movement history — not industry averages. Screen-fail patterns get flagged by specific criterion, not just aggregate count. Risk surfaces before anyone checks a report.
Five permission levels. One data model underneath all of them. From the coordinator's task queue to the sponsor's live dashboard — every view reads from the same append-only event store.
Patients who don't match today aren't lost — they go to Parking Lot and auto-surface the moment a matching study opens.
Five spreadsheets become one structured queue. Every patient is owned, every action logged — nothing slips between contacts.
Every role — coordinator to sponsor — reads from the same live event store. No status calls. No stale reports. No guessing.
Arrives each morning knowing exactly which patient to call, which visit to confirm, and which no-show to recover — no spreadsheets, no guessing.
Every patient tracked from first contact to protocol completion. Parking Lot catches anyone without a study match — zero patients abandoned.
All sites benchmarked on the same live metrics. Underperforming sites visible immediately — without waiting for monthly reports or calls.
Live enrollment progress across every site, every study. Audit trail built-in. Decision-ready data — no weekly status calls required.
No exports. No status calls. No separate reporting step. When a coordinator logs a call, moves a status, or records a visit — it's written to the event store and every dashboard updates the moment it happens.
EHR referral, patient registry, SMS campaign, or direct entry — the source is automatically tagged. Universal patient identity checks for duplicates across every study in the network. A coordinator is assigned.
The task queue surfaces this lead at the right priority. The coordinator logs a call, notes the outcome, runs the pre-screener. Each action creates a timestamped event — no copy-paste, no separate report, no double entry.
Every status move writes an immutable event — who changed it, when, from what, to what. No study match? Patient goes to Parking Lot and auto-surfaces when one opens. No-show? Recovery task created automatically.
The same event store powers all dashboards simultaneously. Site admin, network admin, and sponsor see the update the moment it is written — without exports, summaries, or weekly calls. The audit trail is already built.
One record per patient across every study and site — every call, status change, pre-screen result, and visit note in a single timeline. No duplicate entry, no siloed history.
Build eligibility questionnaires per study with branching logic and per-question DQ flags. Every answer auto-logged to the patient profile — and counted toward screen fail analytics the moment it's submitted.
Protocol visit windows tracked per patient — upcoming, overdue, and completed in one view. No-shows automatically generate a coordinator follow-up task so no visit slips without action.
Send SMS or email directly from the patient profile — auto-logged and timestamped. Automated visit reminders handled by the platform. No copy-pasting into a separate thread.
Each coordinator's daily action list — auto-built from open pre-screeners, upcoming visits, overdue follow-ups, and study assignments. Priority-ranked so the most urgent patients surface first.
Capture interested patients with no current study match. When a compatible study activates at their site, the patient surfaces automatically — no coordinator has to remember to check.
Leads → Contacted → Scheduled → Screened → Enrolled — live conversion rates at every stage. See exactly where patients drop out before it affects your close date, filtered by site or study.
Enter your enrollment target and deadline — Enrolliq calculates the weekly pace required, projects your close date from site conversion history, and tells you exactly how many leads to generate.
Enrollment rate by channel — community at 33%, physician at 17%, digital at 13%. Know which referral sources produce enrolled patients vs. leads, so you can shift recruiting budget to what actually works.
Top disqualifying questions ranked by DQ rate. Know which criteria are blocking the most candidates before it compounds.
Every status change, visit record, and note is timestamped, user-attributed, and permanent. GCP-ready audit trail with full change history — who changed what, when, and why, for every patient event.
Pass rate, fail rate, and enrollment rate broken down per pre-screener template. See which templates convert best and which specific criteria are eliminating the most candidates.
Choose any combination of 11 metrics — leads, screened, enrolled, screen fails, no-shows — set your time window, filter by site, study, or source, and view as a weekly or monthly trend. Export to CSV for sponsor or IRB reporting.
Phase 1 is live. AI-powered recruitment is next. The full CTMS platform follows — built on the same event model, extended step by step.
The full operating layer for clinical trial recruitment — live and available for demo today.
An autonomous AI layer that acts on recruitment intelligence — not just reports it.
Every AI model trains on complete, structured patient movement history — not reconstructed estimates.
EnrollIQ becomes the complete trial management system — end-to-end, from site activation to study close.
EnrollIQ sits beside the tools your sites already use. No rip-and-replace. Recruitment data keeps moving — it just stops getting lost.
Endpoints for referrals, status events, study records, and analytics exports.
Outreach history logged directly against the patient profile.
Live funnel, conversion, ROI, and site performance views.
Referral intake from databases, outreach lists, and condition registries.
On the roadmap: eligibility signal matching and referral coordination.
On the roadmap: structured handoff from qualification into clinical data capture.
On the roadmap: consent status sync and screening handoff tracking.
On the roadmap: remote screening support and hybrid site workflow tooling.
Integrations should reduce duplicate work, not create another reporting burden.
EnrollIQ is led by domain specialists with deep roots in clinical research data, platform architecture, and healthcare operations — built to solve one well-defined problem that the industry has lived with for too long.
We built the intelligence layer that clinical trial recruitment has always needed — with the people who understand exactly why it has been missing for so long.
The goal is not just better charts. It is the missing intelligence layer for clinical trial recruitment — built at the data-model level so everything downstream is real.
Clinical trial recruitment has been broken for decades — not because the data doesn't exist, but because no one built the right structure to capture it. EnrollIQ exists to fix that: one intelligence layer that turns the work coordinators already do into something sponsors can act on in real time.
EnrollIQ should feel clear on the surface, structured underneath, and credible from the first screen a user sees.
Most clinical software is built for compliance, not for the people who use it every day. The goal is a product where the complexity lives underneath — and what a coordinator or sponsor sees is exactly what they need, nothing more. Clarity at every level is what makes a tool people actually trust.
The platform is live. We'll walk you through the funnel, screen-fail breakdown, and enrollment forecast in under 30 minutes.