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How doctors’ phones stopped ringing thanks to Coworkers.ai

“We suddenly started feeling as if our lines had been disconnected”, was Dr Marek’s reaction after the voicebot was hooked up in his office. This freed up his nurse’s hands, because she didn’t have to constantly run to the phone for routine chats about office hours or repeat prescriptions. Today, these situations are handled by conversational artificial intelligence. What was the journey from idea to realisation like?

Surely you’ve experienced it too: You’ve come in for a doctor’s appointment, and suddenly the phone starts ringing. In this situation, several things might happen.

  1. A nurse or doctor picks up the phone and stops attending to you.
  2. The nurse or doctor continues with their work, but the phone keeps ringing annoyingly.

In the first case, you might inadvertently learn information about other patients such as their name, condition, or specific medications. In the second case, you won’t hear anything untoward, but a ringing phone is not the nicest backdrop for an examination.

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Conversational AI lends a helping hand

Medingo has long had a good reputation among physicians for its product named Evipa. This system for registering incoming patients at waiting rooms has been in operation for several years in hundreds of consulting rooms across the Czech Republic. That’s why Medingo, together with doctors, quickly identified the problem (disruptive yet repetitive calls) and began working on a solution. This is where Coworkers.ai came in as a technology partner.

Conversational AI is an expert in routine situations. Smart chatbots and voicebots are helping banks, insurance companies and e-commerce environments today and every day. It’s becoming increasingly clear that the future belongs to smart voicebots.

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From idea to operation in two months

For any new system or application to succeed, quick and, above all, easy installation, including commissioning, is a must. What did this process look like at Dr Marek’s office?

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The voicebot understands and does the job

In order for the voicebot to truly help, it had to learn a few things first. You can see how this learning process takes place on our Technology page or in the How it works section. In Medingo’s case, we mainly focused on the following situations:

  • Patient requests for repeat prescriptions.
  • Information about consulting-room hours.
  • The availability of a call-back from a doctor or nurse at the end of the day.

If the voicebot were to fall short in any of these areas, all our efforts would be meaningless. How successful was the chatbot at Dr Marek’s office?

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Want to see and hear more?

Contact us, and we’ll provide you with specific examples and suggestions on how Coworkers.ai can help you.