What If You Had the Answers Before Anyone Asked?
August 12, 2025
In healthcare, waiting for data isn’t just frustrating, it can impact outcomes.
Yet when a new dataset comes online, the usual process is slow: requests pile up, analysts scramble, dashboards take weeks, and answers arrive too late — or worse, different teams get different answers.
A Different Approach
Imagine logging in and finding the most likely questions about your new data already answered.
Not guesses, verified, consistent answers, ready before anyone even asks:
- “How many appointments were canceled within 24 hours last month?” ✅ Already there.
- “What’s the average time from discharge to insurance payment?” ✅ Done.
That’s runQL’s Answer Seeding Library.
How It Works
- AI Predicts Questions: Based on your data (schema structure) and our automated semantic definitions, runQL anticipates what business users will ask.
- Generates & Verifies Answers: The SQL is auto-generated to answer each question. Then they are reviewed and approved by your data analysts.
- Published to the Library: Now when a business user asks a natural language question they get instant, consistent answers, no waiting, no training.
Why It Matters in Healthcare
- Speed + Accuracy: Analysts validate answers before they reach users.
- Consistency: Everyone works from the same trusted data.
- Efficiency: Analysts spend time refining, not building or writing from scratch.
In other words, the right answers are ready before you even think to ask. Because in healthcare, proactive beats reactive every time.
PS - Have a backlog of existing user requests in your ticketing system? We can also feed that into the Answer Seeding Process.
— The runQL Team