In today’s healthcare landscape, patient follow-up is a crucial aspect of providing comprehensive care. While various text-based solutions are available, they often fail to engage patients effectively. For most healthcare professionals, phone calls remain the preferred method of communication. However, manual follow-ups are inefficient and time-consuming. That’s where Tucuvi Health Manager (THM) and its voice-based virtual assistant, LOLA, step in to revolutionize patient follow-up.

By automating the process through simple phone calls, THM ensures that every patient receives timely and personalized care.

The benefits of adopting THM and LOLA are significant:

  1. Cost savings: THM eliminates the need for HCPs to make individual phone calls, leading to reduced labor costs. It can handle multiple calls simultaneously, expanding its reach and further optimizing efficiency. Moreover, proactive follow-ups through THM help prevent costly hospital readmissions and complications.
  2. Time efficiency: LOLA autonomously initiates and completes follow-up calls, freeing up HCPs to focus on critical tasks. Rapid outreach improves patient engagement and adherence to treatment plans. Additionally, THM’s conversational AI documents patient responses, updating electronic health records without the need for manual paperwork.
  3. Scalability: LOLA can efficiently reach a larger patient population, making hundreds of simultaneous calls without burdening HCPs. It adapts to various languages and cultural nuances, enhancing accessibility and tailoring follow-up care.
  4. Data collection: THM consistently collects patient information, offering comprehensive insights into health statuses. Data-driven insights inform personalized care plans, identify potential risks, and improve treatment strategies over time.

If the compelling reasons aren’t enough, Tucuvi Health Manager offers an ROI calculator that quantifies the potential savings in HCP hours and euros when adopting their voice-based conversational AI for patient follow-ups.

Investing in voice-based conversational AI not only improves efficiency and reduces costs but also enhances patient care and satisfaction.

Article written by Fernando Dal Re