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Appointment was scheduled in of cases where an appointment was not scheduled. This solution was completely useless for us. It was then that we decided that we had to develop our tools ourselves. years ago we had a ready-made tool that, thanks to AI, automated the simplest processes such as whether there was a conversation between a patient and a medical registration employee, but the effectiveness of the tool was over . Today, we already have solutions that are able to analyze the entire conversation in , extracting data such as: whether there was a conversation or an appointment. If the conversation led to an appointment, then for what service, for what date, to what doctor, etc. Moreover, if the conversation concerned a different topic,
our AI recognizes the topic of such a conversation. Thanks to this, the facility can easily filter e.g. calls to be listened to in order to check the quality of the registration operation . What goals did you set for yourself before Middle East Mobile Number List you decided to implement AI at Kliniki.pl? For us, the most important goal is to optimize processes, reduce the costs of settlements with customers and their effectiveness. Therefore, the main goal was to create technology that would take over these processes from employees. At the beginning, the telephone call settlement process was handled by our employees. Today it is supported by AI. But while achieving this goal, we came out completely different.
![](https://lh7-us.googleusercontent.com/fl_TCarAschVYMtmPYXi59OIb_UppwZiyoS1J2D2KU6aPmsJrt6IdXne_GIL7yiBX1j6wDt5L2r_6vgfShbcLjSB-7Y1VjNyMAWY1JKQQy1WU_3hdJeX5t3kfpG5IY6w_9bbU_KuBvlRYGsXw4314UY)
Once our tool was created, we felt it worked so well that we could use it as a separate product. Today, we have solutions based on AI and a basically ready-made tool that allows us to analyze the context and content of virtually every telephone conversation. We use speech-to-text, models for text recognition, context marking, text-to-speech and many others. That is why we have developed for our clients a system for automatic analysis of the quality of medical registration work. The tool is reliable because the main difference between humans and artificial intelligence is the lack of emotions and motivation. Moreover, the machine will not make an intentional mistake, and a human may be motivated to do so. How long did it take you to implement AI and what challenges did you face? As I have already mentioned, we started looking for solutions on the market years ago and .
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