AI Phone Calls for
Healthcare Services
Cut operational costs and improve patient care with AI phone calls that automate scheduling, handle patient queries, and reduce staff workload.
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How AI Phone Calls Impact the Healthcare Industry
The Problem
Slow claims processing and manual follow-ups lead to patient frustration and approval delays, affecting overall healthcare service efficiency.
Delays in communication between patients and care teams can affect decisions, treatment timelines, and overall trust. AI phone calls ensure faster responses where speed matters.
Patients forget or miss scheduled visits without timely reminders, wasting valuable time and resources. AI phone calls can reduce no-shows by automating reminders and confirmations.
Healthcare data is often fragmented across various systems, leading to delays and inaccuracies in providing care.Â
High call volumes overwhelm hospital staff and delay responses to basic questions. Patients are left waiting, frustrated, and uncertain, often at the first point of contact.
Healthcare providers often struggle to offer adequate after-hours support, leaving patients without timely responses or assistance outside regular office hours.
AI-Powered Solutions for Healthcare Services
AI-powered virtual assistants handle non-critical queries instantly, reducing wait times, improving average handling time (AHT), and increasing first-call resolution (FCR).
AI phone calls send automated appointment reminders and pre-visit instructions, minimizing no-shows and improving overall clinic efficiency.
Patients can access reports, visit history, or prescriptions via AI phone calls, reducing dependency on staff and speeding up routine communication.
AI phone calls share pre-visit instructions and checklist items, helping patients arrive prepared and reducing confusion at check-in.
Patients can retrieve test results, past prescriptions, and visit summaries through AI phone calls, without needing to speak to staff.
AI phone calls support multiple languages, making it easier for patients to get the care details they need in their preferred language.Â
Why Choose Convin for Healthcare Services?
AI phone calls connect with patients in their preferred language, improving clarity, speed, and access to care.
LLM-based NLU (Natural Language Understanding) is used to respond accurately to patient queries, improving communication and reducing errors.
Complex or emotional queries are transferred smoothly to a human agent with full call context.
Follow-ups, schedules, and patient history updates are handled automatically after each AI phone call.
AI phone calls stay on track even during noise or overlaps, ensuring a professional patient experience.
Convin's Data Security Measures
Automated PII Masking
Convin’s AI-driven PII masking detects and redacts sensitive data, ensuring compliance with GDPR, PCI DSS, HIPAA, and RBI mandates.
Zero Raw Data Retention
Sensitive data is masked at capture while ensuring compliance with audits and analytics by eliminating raw data exposure.
Enterprise-Grade Data Encryption
Convin secures data with AES-256 encryption, preventing unauthorized access during storage or transfer.
Proprietary In-House LLM
Convin’s proprietary, in-house developed LLM designed specifically for BFSI institutions ensures full data ownership, security, and compliance.
Post-Call Actions: What Follows After the Conversation?
AI Phone Calls can effortlessly integrate with your tech stack
Your security is our priority
Deployment
