How does Phlerobo use artificial intelligence ?

Instant changes in the patient load in the blood collection unit create uncertainties and ultimately make it difficult to make managerial decisions. The optimal number of blood collection nurses varies depending on this load. Generally, the increase in the number of nurses administratively is carried out after the cluttering of patients is observable. However, this moment is actually a bit late for a decision because any changes in number of nurses will take some time to help the situation during which time further cluttering is likely to continue occuring.

Phlerobo constantly calculates the optimal number of nurses and shares it with the manager, based on the distribution of patients in the hospital and the information obtained from previous days. In addition, changes in other critical parameters are shared with the manager, and it offers the chance to make decisions well before the number of patients in the waiting area reaches a critical level.

Thus, the manager of the blood collection unit can make timely decisions with the new information provided by artificial intelligence and increase the unit performance.

Patient waiting time estimation

Phlerobo artificial intelligence calculates the patient's service time with great accuracy as soon as the patient comes to the unit and shares it with the patient.

This increases patient satisfaction and ensures that patients receive the information that they will not wait for open-ended periods.

NESLI, Phlerobo's robotic component, also uses artificial intelligence technologies to recognize tubes. Thus, NESLI can work with an unlimited number of tube types at the same time. In addition, human errors that may occur in the loading of the tubes are completely eliminated.

Süleyman Sevinç, Prof. Dr.