NO-SHOW
PREDICTOR

Saal’s no-show predictor leverages artificial intelligence to forecast whether a patient will arrive for
a booked appointment or not
and provides recommendations
to convert a no-show patient into someone who would arrive.

What if you could optimize operations across all specialties?

By making the most out of data and complex algorithms, Saal’s no-show predictor
helps you build effective schedules – transforming the way you book appointments.

BEFORE SAAL’S
NO-SHOW PREDICTOR

  • Unpredictable schedules and slots
    are not fully utilized
  • Random overbooking
  • Long waiting times
  • Decreased loyalty

AFTER SAAL’S
NO-SHOW PREDICTOR

  • Effective allocation of resources through
    a predictable schedule thus increased revenue
  • Overbooking optimized considering predictions and walk-ins
  • Reduced waiting time and timely access
    to care
  • Improves customer and patient loyalty

 

HOW IT WORKS

THERE’S MORE

Easy to install,
major results

Our solution is easy to install and integrate with existing EMR or scheduling systems.

Your data,
your premises

Patient data stays on your premises.

Always accurate, across all specialties

It even works for first-time patients across all departments.

SEEING IS BELIEVING

How can you make accurate predictions based on science? It might sound a little more like lucky guesswork, but you’ve got to try it to believe it. Our powerful algorithms, built on scientific research, asses your data to yield accurate results.

When implemented in a hospital in the UAE, our prediction system was 80% accurate.

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