Patient-centric routing is a way to send patient calls to the best contact center agents. Instead of answering calls in the order they come in or by chance, this method matches patients with agents who have skills and knowledge for their needs.
Key factors in patient-centric routing include:
This approach is important because patients have different needs. For example, calls about serious symptoms should get faster service than billing questions. Good routing cuts down waiting time, reduces call transfers, and lowers patient frustration. This helps patients get better care.
Many U.S. healthcare offices use electronic health records (EHR), which have a lot of patient information. When contact centers connect with these records, they can use past data to guide how they route calls.
For example, if a patient recently asked about diabetes care, the system might send their next call to an agent trained in chronic care. EHR systems like Epic, used by many doctors in the U.S., let contact centers access patient history during calls. This helps agents give more helpful and personalized answers quickly. Patients don’t need to repeat information, and issues get solved faster.
Using historical data also helps find patients who call often or who have special communication needs. This improves how care is provided, especially for patients with long-term or complex health needs.
Every patient case is different. So contact centers need to use priority-based routing to handle urgent calls fast.
Patient priority can be based on things like:
Systems like Automatic Call Distribution (ACD) help by sending calls from urgent patients to agents quickly. This cuts down waiting times and missed calls. Other industries show that smart routing can lower wait times from minutes to under a minute. In healthcare, this means patients get faster care and fewer problems from late communication.
An important part of patient-centric routing is making sure agents have the right skills for the patient’s questions. Skills-based routing connects patients to agents with abilities like:
For example, Cisco’s Webex Contact Center helps agents handle calls, chats, emails, and messages in one place. It matches agents to patients based on the patient’s needs and the agent’s skill level. This improves first-time problem-solving and lowers the chance agents feel tired or stressed. Some AI tools even watch for signs of agent fatigue and suggest breaks or schedule changes.
Artificial intelligence (AI) helps make routing faster and smarter. AI systems can look at caller information and predict which agent is best. They can understand what patients say by voice or text better than before.
AI can also do simple tasks like scheduling appointments or checking symptoms on its own. This lets human agents focus on harder problems.
For example, Cisco’s Webex AI Agent can answer patient questions anytime on channels they like. If the AI can’t help, it shifts the call to a human agent and passes all needed information. This stops patients from repeating themselves and keeps the conversation smooth.
Automation tools let contact centers create rules that decide how calls and messages are handled. These rules can include:
Automation also helps with things like sending appointment reminders or notifying patients after a hospital stay. This keeps patients on track with their care.
Patients today want to use their favorite ways to talk with healthcare, like phone calls, texts, emails, chat, or social media.
Webex Contact Center supports many channels, such as Facebook Messenger, WhatsApp, Apple Messages for Business, and regular email besides phone calls.
This helps make care easier to reach, especially in a country with many kinds of patients. For example, a busy parent might prefer text reminders, while an older patient might want a phone call. Agents can see all channels in one screen to avoid missing details. The system also adjusts routing by channel and urgency.
Skills-based routing works across all channels by matching agent skills with the communication method. Priority comes from patient data and live inputs and helps decide who gets help first. This lowers wait times and keeps calls from being abandoned.
Healthcare leaders need to know how their contact centers are doing to improve care and operations.
Modern routing systems offer live data on things like:
Cisco’s Webex Contact Center rates every voice call for patient satisfaction. This is important because surveys usually get few responses. The system uses this information to help coaches improve agents and make routing better. It also sends live transcripts to agents, so they can take fewer notes and communicate more clearly with patients.
Agent wellbeing is a concern in U.S. healthcare contact centers. Burnout can come from emotional stress and heavy workloads.
New contact center tools can watch agents in real time and suggest when they should take breaks or change schedules. Keeping agents healthy helps them do better work, which helps patients too.
U.S. healthcare providers face challenges when connecting routing systems. Rules like HIPAA protect patient privacy. Plus, many different patient types and insurance rules make things complex.
Integrating contact centers with EHR systems like Epic lets agents access patient data safely and quickly. The new Webex Contact Center and Epic integration combines smart routing with shared patient records and communication tools. This reduces paperwork for agents and speeds up care for patients.
For administrators, strong system connections help guide patients smoothly through care—from first contact to recovery—in one organized setup.
Healthcare contact centers in the United States get many benefits from routing that focuses on patients. Using past patient data, priority levels, and agent skills creates smoother and more personal experiences.
Tools like AI routing, automation, and support for many communication channels improve how patients and agents connect. Real-time data and agent wellbeing features help centers work better and keep patients happier.
Systems that connect with records like Epic make these efforts even stronger. Patient-focused contact centers are an important part of today’s healthcare operations.
The Epic integration with Webex Contact Center enables a seamless, multi-channel communication platform directly within Epic’s EHR interface, streamlining patient interactions for care providers. It consolidates communication tools, medical information, and AI-driven features to enhance personalized patient support and operational efficiency across the care journey.
Agents gain access to a single user interface embedded in Epic, allowing them to handle voice, chat, email, and messaging efficiently. Features like Call Hub screen pop, instant transfers, templates, and interaction histories enhance context-aware, personalized service without switching platforms.
AI Agents automate routine tasks, provide real-time assistance, and manage patient inquiries asynchronously or with scripted workflows. They enable scalable, 24/7 on-demand support, handling everything from appointment rescheduling to symptom checking, and ensure smooth handoffs to human agents with full context retention.
Routing strategies leverage historical data to match patients with the best available agents based on priority, value, and skills. This improves engagement by ensuring patients interact with the most suitable agents, increasing efficiency and personalization in care delivery.
The system identifies signs of agent burnout in real time, recommending breaks, schedule adjustments, and capacity management. Automatic CSAT scoring analyzes 100% of interactions to improve training, while topic analytics identify common call reasons to enhance processes and FAQs.
Webex Connect automates personalized messaging driven by EHR data for use cases like onboarding, reminders, surveys, and post-discharge support. This multi-channel, patient-preferred communication encourages adherence to care plans and sustained engagement throughout the health journey.
The AI Agents utilize agentic AI, Large Language Models (LLMs) for dynamic dialogue and context management, and Natural Language Understanding (NLU) for intent recognition and workflow execution, enabling natural, context-aware patient interactions across channels.
AI Agent Transfer Context Summaries capture full conversation history during handoffs, preventing repetition and frustration. Dropped Call Summaries also store prior interaction details, ensuring continuity and a smooth, empathetic experience when human assistance is required.
Agents receive live, continuously updated transcripts of conversations within the agent desktop. This reduces manual note-taking, minimizes missed details, and allows agents to remain fully engaged, enhancing accuracy and comprehension during interactions.
By unifying AI-powered automation with human expertise and integrating deeply into EHR workflows, the solution elevates efficiency, engagement, and care quality. It creates a connected healthcare journey with improved patient trust, loyalty, and satisfaction through seamless digital front door experiences.