Most of your week is patient-level site execution — consent, visits, source data, IP accountability — and ClinicaLister deliberately stays out of it. What it does own is the awareness layer at the edges: one map of every trial at your facility, alerts when a trial you follow changes, and fast referral options for the patients who don't fit.
The highest-leverage things ClinicaLister does for a site coordinator.
Every recurring activity, mapped to what ClinicaLister does — on which surface (the App, the MCP graph, or both), the time it saves, and how confident that claim is.
| Activity | What ClinicaLister does | Surface | Time saved | Confidence |
|---|---|---|---|---|
| Unified view of every trial at your site | Drill into your facility on the map to see every trial running there, its current status, and the listed study contacts in one place. | Both | an afternoon of tabs → minutes | High |
| Refer a screen-fail patient to a nearby study | Draw a shape around the area you'll refer within and filter to recruiting studies to surface options in a single pass. | App | referral options in one pass (no radius) | High |
| Catch amendments / eligibility changes at your site | Follow your site's trials and get field-level alerts when status or eligibility criteria change on the public registry, with a diff of exactly what moved. | Both | weeks-late → hours — biggest pain relieved | High |
| Review trials on the move | A mobile-friendly cards view makes trial details usable as a quick reference away from your desk. | App | field-usable reference | Medium |
| Identify new studies the site could pursue | Search and filter by disease, phase, sponsor, and location to spot studies your site could take on, and find the listed contact to start the conversation. | Both | faster prospecting; find the contact | Medium |
| Competitive site landscape for a patient pool | Your AI assistant can map which sites nearby already run a given indication, so you can see who else is competing for the same patient pool. | MCP | who else runs the indication nearby | Medium |
| Compare enrollment across trials | Each trial carries its registered enrollment figure for a rough comparison — the public target, not actual-versus-goal accrual. | Both | rough only — not actual-vs-target | Low |
| Coordinate with sponsor / monitor contact | The listed central and facility study contacts are surfaced so you can quickly locate who to reach. | MCP | locate a listed contact fast | Medium |
Straight answers on where ClinicaLister stops today — so there are no surprises.
No CTMS, EDC, or patient-level data. It can't screen a specific patient, track subjects, manage visits, log IP accountability, capture source data, report SAEs, or enter data into an EDC — the operational core of the role stays where it lives today.
Enrollment is a static number, not operations. The figure shown is the registry target — there's no actual-versus-goal accrual, recruitment velocity, or screen-fail funnel.
Referral geography is draw-your-own, not radius. You place a shape on the map yourself; there's no "trials within X miles" proximity search yet.
No document, feasibility, or budget tooling. Regulatory binders, ISFs, feasibility questionnaires, contracts, and invoicing all live outside ClinicaLister.
Public registry only. An amendment that hasn't posted publicly won't alert — net, this is a strong awareness and referral layer at the edges of the role, not its center.
Every trial at your site — and every recruiting study nearby — on one map, with an alert the moment status or eligibility changes on a trial you follow, and a draw-on-the-map filter that turns a screen-fail into a referral shortlist in a single pass.