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Aug 23 2024
Digital Workspace

Top Trends in Healthcare Contact Center Automation

Amid increased patient demand and staff shortages, healthcare organizations are using AI-powered automation to improve efficiencies.

A patient’s initial encounter with a health system is often through its contact center. As organizations face a growing demand for care services, combined with persistent staffing shortages, healthcare contact centers are adopting automation tools to effectively manage the rising volume and ensure patient expectations are met.

“We’re never going to be able to hire enough people in healthcare. We can’t recruit or train our way out of this,” says Ryan Cameron, vice president of technology and innovation at Children’s Nebraska. “We need to lean on technology and automation where it’s appropriate.”

Automating with AI-powered tools so that people can focus on more complex tasks is the most significant trend right now,” adds Amit Barave, vice president of product management for Cisco Webex.

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Healthcare Contact Center KPIs

Healthcare contact centers measure quality through specific key performance indicators such as:

  • Average wait time
  • Average handling time 
  • First-call resolution
  • Transfer rate
  • Average abandonment rate
  • Customer satisfaction

“We also look at no-show rates, or when no follow-up appointment was scheduled,” Cameron adds. “These KPIs tell us that something about the automation process wasn’t perfect for the patient. We want to know that so we can close those gaps.” 

Healthcare contact centers also focus on employee KPIs such as total number of calls handled per hour and overall turnover rates. Barave emphasizes that automated AI solutions can use these KPIs to reduce worker burnout.

“The AI may suggest it’s time to take a break based on the kinds of conversations the agent was having or how many calls they had handled, which ultimately affects how well your patients are served.”

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Contact Center Automation Trends 

To help meet patient and employee expectations, certain automation trends have emerged to keep healthcare contact centers operating as smoothly as possible. 

Medical AI Chatbots

Medical AI chatbots are increasingly used to manage routine tasks, including appointment scheduling, patient onboarding and prescription refills. 

They can also help contact center employees manage complex patient cases more efficiently, Barave says. “Instead of agents struggling to read through all of their notes, generative AI tools are available today and can provide a quick summary of previous transcripts to improve interactions.” 

AI-powered chatbots are developing enhanced smart routing capabilities. For example, if a patient reaches out about neck pain, Cameron explains, the chatbot could direct them to the best specialist by asking questions and understanding the differences between pain caused by trauma and pain from an infection.

“The sophistication of those bots is getting to the point where they have enough machine learning and knowledge to be able to direct the call to the right expert who can make that diagnosis,” Cameron says. 

He stresses that it’s important to have safeguards built into any chatbot that directly communicates with patients. “If there is an expression that raises a red flag, the chatbot knows to immediately transfer to a human being.”

Another growing trend Barave highlights involves using chatbots to enhance comprehension. He says AI-powered tools can improve the audio quality if, for example, a patient calls in from a remote area and the connection isn’t clear. 

“AI-based translations can also help when a patient isn’t proficient in a certain language,” Barave says. “The chatbot can ease these communication challenges.”

READ MORE: Why contact center modernization shouldn't be on hold.

Omnichannel Communication

Health systems use various methods to communicate with patients. Whether it’s over the phone, during a video consultation or through an online portal, the information needs to be consistent across each channel. 

As Cameron explains, one trend is to connect the omnichannel communications platform with the organization’s electronic health record. This is especially helpful for continuity of care, he says, and creates a more seamless patient handoff.

“You end up having a file that says who this person is and what their relationship is to the provider. That’s automatically accessible no matter which communication method you’re using,” Cameron says. 

Another example: The omnichannel communications platform at Children’s includes integration with a wayfinding app. “A patient makes an appointment on their phone, and the app tells them where to park their car and where to walk in the building for their appointment,” Cameron says.

Ryan Cameron
The sophistication of those bots is getting to the point where they have enough machine learning and knowledge to be able to direct the call to the right expert who can make that diagnosis.”

Ryan Cameron Vice President of Technology and Innovation, Children’s Nebraska

Remote Patient Monitoring Support 

Another contact center automation trend is using AI tools to support remote patient monitoring. Contact centers can help patients activate their wearable devices and answer technical questions.

However, Barave stresses that this is just the beginning. “We’re talking about petabytes of data that remote devices are monitoring,” he says. “There are insights and patterns that can lead to improved patient health that a person manually going through these logs of records won’t be able to see, but an AI tool can.”

Barave continues, “As the AI observes and learns, the technology can start recognizing hot spots and then provide more proactive notifications and guidance to patients. This may result in better preventive and corrective care, as well.” 

DIVE DEEPER: Three trends in healthcare contact centers that can improve patient experience.

Data Security and Compliance

A common concern related to contact center automation is what it all means for data security. Cameron explains that traditional methods such as encryption, role-based access to specific information, and blockchain databases ensure patient data is protected and HIPAA regulations are followed.

As chatbots become more prevalent, Cameron says, it might be appropriate to have the technology identify itself as a robot at the beginning of any patient interaction. “There’s also pattern detection technology that can look for protected health information and automatically delete that data from the record.”

In its current state, contact center automation tools have been designed to assist human workers. “But I’d say we’re in the early innings,” Barave says. “AI in automation is the next frontier.”

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