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Solutions · Clinical Operations & Monitors

See the problems while they're still small.

The issues that hurt are the ones you find late — after a site visit, buried in a note, or in an action item that fell out of an email thread. Health1st AI gives clinical operations continuous, risk-based oversight — source-document review, AE detection, key risk indicators, and live study status — so problems surface early and nothing slips through the cracks.

What you own

Your goals

  • Move from on-site SDV to centralized, risk-based monitoring
  • Detect safety and quality issues earlier
  • Keep action items and deviations tracked to closure
  • Give sponsors and leadership a real-time picture

We know how this feels

The pains we remove

You're accountable for what's happening across every site, but you only see most of it after the fact — and the gap between happened and noticed is where the risk lives.

  • On-site SDV is expensive, slow, and still surfaces the problem long after it started
  • Adverse events sit hidden in unstructured source notes until someone happens to read them
  • Action items live in email threads and quietly disappear until they've become a real issue
  • The status you report is already out of date, so you're never quite sure you're seeing the real picture

And the part no one says out loud:

  • A safety or quality issue that was sitting in the data for weeks before anyone flagged it — on your watch
  • Being asked for a site's true status in a leadership review and not being sure the number you have is current

Where the agents fit

Every pain, matched to the agent that removes it

The grind you just read isn't abstract — each piece of it already has an agent assigned. Here's which one picks up which fight, so you can see exactly where the help lands before you commit to anything.

Your agentic workforce

The agents that help

These feature agents map most directly to clinical operations & monitors. Enable the ones you need, per study and per deliverable, and expand over time.

Outcomes

What good looks like

Quantified targets we build toward with each engagement.

1 min
Alert after document upload
ICH E6(R3)
Risk-based monitoring by design
Real-time
Study & site status dashboards

Figures shown are pre-launch targets based on internal benchmarks, not guaranteed outcomes.

Every output is grounded, reviewed, and inspection-ready

The shift is that I'm not finding out about problems on the next site visit — I'm seeing the signal within minutes of a document landing. My CRAs go where the risk actually is instead of driving to a clean site to shuffle paper.
Clinical Operations Lead, mid-size sponsor

Illustrative — representative of the workflows we build toward during our pre-launch pilot.

No pressure, straight answers

What you're probably wondering

The doubts that usually surface before a team like yours says yes — answered plainly, including the places where the honest answer is a limit rather than a promise.

Let's see it on your study

See it run on one of your own studies — no pressure, no obligation, and honest answers, including on the limits. We will walk clinical operations & monitors through exactly what stays under your control.

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