Healthcare call centers in the United States have many problems. They get too many patient calls, there are long wait times, and not enough staff. These problems hurt how well the centers work and how happy patients are. When phone lines get busy, many healthcare providers start using new technologies like SMS deflection and call-to-text (CTT) to handle calls better. These tools change patient calls into text messages, letting patients do simple tasks by themselves. This frees up staff to handle harder issues.
The usual healthcare call centers face a few big problems. Over 25% of their staff leave each year. Labor costs keep going up. Old call routing systems slow things down.
Because of all this, healthcare centers with few staff or many patients find it expensive and hard to handle calls the old way. They need systems that make communication smoother, use staff time better, and lower costs.
SMS deflection and call-to-text are two newer tools. They move patient calls from busy phone lines to text message platforms.
SMS Deflection lets patients stop waiting on the phone and get SMS messages that answer their questions. It works well for:
For example, at Main Line Health, more than 20% of patients who called to schedule mammograms or bone scans picked SMS to avoid waiting. This saved over 15,000 minutes of phone time.
Call-to-Text (CTT) takes voicemails left by patients and turns them into text messages in one conversation thread. This lets healthcare workers read and reply without talking live on the phone. OhMD, a communication platform, says users in the U.S. saved 3.3 million hours by changing calls into texts or voicemails with transcripts.
These text messages let patients handle their healthcare when it suits them. It lowers call counts, shortens wait times, and helps staff use their time better.
Using digital call deflection changes how centers work. It takes away simple questions so phone agents can spend more time on harder cases.
Besides fewer calls, SMS deflection helps scheduling, medication management, lowers no-shows, and boosts bookings. For instance, Weill Cornell Medicine saw a 47% rise in online appointments after using AI chat assistants to handle calls and scheduling.
Patients want quick and easy access to healthcare. They don’t like long waits or confusing phone menus. SMS deflection meets these needs.
Main Line Health noticed many patients choose SMS because it avoids long wait times. This makes patients happier and less likely to go elsewhere for care.
For SMS deflection and call-to-text to work well, they must link with existing healthcare IT systems. The best tools work with Electronic Health Record (EHR) systems like Epic, Cerner, and Meditech to keep appointment and prescription info synced with patient requests instantly.
Big health systems like Montefiore and Banner Health use these tools. They improve efficiency without interrupting care.
AI helps SMS deflection and call-to-text by automating tasks and sending complex issues to the right people.
Hyro’s AI system cuts average hold time by 99% and increases digital engagement rates by 600%. This makes call centers more efficient and improves patient contact on voice, chat, or SMS.
Lowering call volumes with SMS deflection and AI helps healthcare providers save money and keep their systems running well.
Many clinics lose money when calls are missed. About 20% to 30% of patient calls don’t get answered. This means missed appointments and lost income. Technology that keeps patient communication timely can fix this.
Ascentist Healthcare gained over $1.25 million in extra revenue and cut patient wait times by using automated call deflection and text messaging.
To use SMS deflection and call-to-text well, medical administrators and IT managers need to plan carefully for healthcare settings.
With more healthcare calls after the pandemic, using SMS deflection and AI can turn a busy call center into a smooth entry point. This helps the center work better and improves patient service.
SMS deflection and call-to-text technologies help lower call volumes, save money, and improve patient access in U.S. healthcare call centers. Together with AI automation, they create an efficient and patient-friendly way to communicate. These tools work well with current digital systems and meet the growing need for easy healthcare access. Medical administrators and IT leaders should think about using these methods to build strong, patient-centered communications for today’s healthcare challenges.
Healthcare call centers struggle with high call volumes, agent burnout, staffing shortages, and inefficient call routing. AI aims to automate repetitive tasks, reduce agent workload, and improve routing accuracy to enhance efficiency and patient access without increasing staff.
AI assistants deflect and resolve over 85% of routine calls by automating tasks like appointment scheduling, prescription management, and FAQs. This reduces repetitive tasks for agents, allowing them to focus on complex cases, significantly lowering operational inefficiencies and preventing burnout.
NLU allows AI systems to understand patients’ spoken or typed requests naturally, eliminating frustrating keypad menus and directing callers accurately to the right point of care or department swiftly, thus preventing misroutes and improving patient experience.
SMS deflection empowers patients to self-serve for common requests such as password resets or appointment scheduling via text. This reduces call volumes, minimizes hold times, and alleviates call center burden, enhancing service accessibility and patient convenience.
Organizations, like Contra Costa Health Services, have reported a 450% increase in goal completion rates, up to 67% call deflection to SMS, and 95% success in use cases like password resets. AI significantly reduces call abandonment rates and increases call center efficiency.
By drastically reducing hold times, eliminating misroutes, offering 24/7 self-service, and resolving calls quickly, AI enhances patient experience, which leads to higher patient satisfaction scores, fosters trust, and ultimately improves patient retention and brand loyalty.
IVRs cause about 15% call misroutes and long transfer times, frustrating patients and increasing costs. AI replaces complex IVRs with intelligent, conversational routing using NLU, reducing misroutes and enabling quicker, direct access to appropriate agents or self-service options.
AI automates monotonous, low-touch tasks, reducing long hours and repetitive work that cause burnout. This leads to lower attrition rates, improves job satisfaction by allowing agents to focus on meaningful interactions, and stabilizes workforce retention.
Seamless integration with telephony platforms (e.g., Twilio, Cisco), Electronic Medical Records (like Epic), CRM systems, and patient engagement platforms is essential. These integrations ensure AI assistants have access to relevant data for accurate routing, resolution, and personalized patient interactions.
By reducing operational costs through automation of repetitive calls, minimizing misroutes, decreasing abandoned calls, and improving agent productivity, AI frees resources and improves efficiencies, enabling call centers to save labor costs and generate ROI rather than merely incurring expenses.