Best AI Receptionists for ModMed

Hello Patient is an innovative healthcare AI enterprise, offering a product known as Mia, which serves as an AI receptionist that manages patient interactions through voice, text, and web chat at all hours. Various multi-location medical practices and consumer health brands utilize Mia to facilitate a greater volume of conversations without the need for additional staff. In the front office, Mia efficiently answers calls, schedules appointments, manages new-patient intake processes, verifies insurance information, processes refill requests, and handles payment collection. In addition to her front desk duties, she also follows up post-visit, converts referrals, conducts recall outreach, and manages any outstanding balances. When human intervention is necessary, Mia seamlessly transfers the call with complete contextual information, refrains from giving any medical guidance, and meticulously logs each interaction. Furthermore, she integrates with the electronic health record (EHR), practice management, and customer relationship management (CRM) systems used by practices, monitors the live schedule, and efficiently coordinates bookings. With Mia managing 100% of incoming calls, front desk staff can remain focused on patient care, resulting in a significant increase of around 20% in appointment bookings for practices. Notably, Hello Patient adheres to HIPAA regulations, ensuring patient privacy and security.

CallSara provides AI-driven voice agents capable of managing both incoming and outgoing calls, streamlining data entry, and facilitating healthcare processes around the clock. This system is proficient in managing appointment bookings, changes, and cancellations, as well as collecting payments with automated reminders, engaging patients before and after surgery, reaching out for chronic care, addressing care gaps, and managing communications during transitions of care. It seamlessly integrates with various electronic health record systems and IVR platforms, including AthenaHealth, eClinicalWorks, Allscripts, and RingCentral, and can be implemented in approximately 30 days using ready-to-use templates. The voice agents are equipped to operate in over 20 languages and accents, escalate intricate calls to human staff when necessary, and produce transcripts and logs for later analysis. CallSara aims to optimize staff efficiency by claiming a reduction of at least two hours of work per day for each employee, decreasing no-show rates to under 5%, managing up to 75% of incoming calls, and recapturing lost revenue through effective follow-up strategies. Furthermore, the implementation of CallSara not only enhances patient satisfaction but also contributes to improved overall healthcare outcomes.