Ask for the View. Clara Builds It.

You know what you want to see. You just don't want to build it. Describe the view, "trend of overdue findings by department", and Clara assembles the dashboard, then changes it when you tell her to. You keep every edit.

From a Sentence to a Dashboard

You ask

It's Monday. The question in your head is "trend of overdue findings by department." You say it, or you type it. You do not open a builder, choose an aggregation, or file a ticket with anyone.

Clara open on a phone: a typed request for a dashboard of audit findings and trends, and Clara listing finding counts by department before offering to create the visual

Clara builds

The chart appears, the right shape for the question, drawn from live platform data. It is a real dashboard widget, not a picture: you can open its configuration and see every field and filter Clara chose.

The Survey Results dashboard Clara built on the canvas, four summary tiles and a findings-by-department bar chart, beside the Clara panel that produced it
"Show me a line chart of recurrence trends over the last 6 months"
"Add a table displaying top 10 threats and/or risk areas"
"Create a pie chart breaking down CAP by category"
"Create a dashboard of compliance metrics across all departments"
"Bar graph of last quarter's top 10 risks"

Related

The chart is not the point. The point is that you asked for it out loud and it exists.

We Don't Predict Your Future. We Show You Other People's Past.

Forecasting, Carefully

What Similar Hospitals Actually Did

Ask whether a target is realistic and the answer comes from history, not from a projection about you. Relevance BI matches your facility profile, bed size, teaching status, ownership, region, accreditor, against years of public performance data and reports what share of hospitals like yours reached that target, and in how long.

Trend, Not Prophecy

Fit a linear trend or a moving average to a series you already have and see the direction under the noise. It is arithmetic on your own data, computed on the chart in front of you, which is why it is trustworthy and why it is not a forecast.

Is This Target Realistic?

Before your quality plan commits to a number, check how often hospitals with your profile have reached it, over what horizon, and how many hospitals were in the comparison. A target nobody like you has ever hit is worth knowing about in advance.

Recurrence as an Early Signal

The most useful predictive signal in quality is not a model; it is that this finding has happened before, in this department, after a CAP that was already closed once. Recurrence is tracked as a first-class measure, by facility, department, standard and CAP owner.

See Recurrence

What We Don't Claim

We will not tell you what your next survey will find. The data has a lag measured in months, and a confident number about your future would be a guess with a decimal point on it. What we will tell you is what has already happened, to you and to hospitals like you.

Related

How Clara AI Enhances
Your Dashboards

Need to know what a chart is telling you? Just describe what you're looking at. Clara will read the view, name what changed, and point at the records underneath, then stop, because deciding what to do about it is your job, not hers. A co-pilot, not an autopilot.

Building From a Request
Reading the Chart Back
Carrying the Filter
Handing Back the Records

Related

Trend lines and moving averages are statistics computed on the chart in front of you, not AI.

The Bottom Line

Compliance isn't a survey-time event. It's every policy, audit, and incident, every day. Medlaunch connects your standards, evidence, and corrective actions in one system, so accreditation becomes a report you run, not a project you start.

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