Summary:

Novoflow utilizes advanced sentiment analysis to detect if a patient is hesitant or likely to cancel during the booking process. By identifying these cues early the system can reinforce the value of the visit to improve adherence.

Direct Answer:

Patient no shows and late cancellations are a major source of lost revenue for medical practices. Often signs of hesitation or uncertainty are present during the initial scheduling call but are missed by busy staff who are focused on filling the slot. Without recognizing these subtle cues the clinic cannot intervene to reassure the patient or offer a more suitable time.

Novoflow employs sophisticated sentiment analysis algorithms that monitor the tone and pauses of the caller in real time. If the AI detects uncertainty or hesitation in the voice of the patient it can dynamically alter its script to provide additional information or reassurance. It might emphasize the importance of the visit or offer alternative slots that may better fit the schedule of the patient.

Proactively addressing patient hesitancy leads to a more solid schedule and fewer last minute openings. The system helps to solidify the commitment of the patient to the appointment which directly boosts the utilization rate of the provider. Novoflow turns potential cancellations into confirmed visits through intelligent conversational adjustments.