Skip to main content

AI

Talking Up Self-Serve Kiosks in Healthcare Patient Check-In

Self-serve kiosks

So you walk into a doctor’s office and are greeted by—a kiosk?

Such is life in the post-pandemic 21st century, where every process is tech-optimized, and every person is germ-aware. And where, if done right, a kiosk can be both.

More and more, self-service kiosks are integrating sensory capabilities that make them more “service” than “self.” For instance, recent advancements in computer vision now allow kiosks to “see” the subjects of their interaction and, in some cases, even detect human emotion. There’s also touch sensitivity, which most kiosks already support as an input.

But by far the biggest gains in human-machine interaction over the past several years have come from natural language processing (NLP) services. Now, integrated voice control engines permit self-service kiosks to offer hands-free input for those unable to see or touch equipment or in situations when doing so is undesirable.

And these voice services can support processes like patient check-in from end to end, which is also a big win for the healthcare infrastructure at a time when medical staff are overwhelmed by high numbers of patients and salaries are on the rise.

Not only do voice services make kiosks a suitable substitute for regular staff, but in many cases, they perform at least as efficiently as human personnel and carry far less risk of spreading illness (Video 1).

Video 1. Natural language processing (NLP) allows healthcare self-service kiosks to offer touch-free, omnichannel check-in to patients with increased efficiency and lower health risk. (Source: Sodaclick)

“Instead of going up to a receptionist and having to wait around for them to finish the phone call or finish entering whatever they need to do on the computer, patients can just go up to the kiosk. In the same way they would do when speaking to a receptionist, they just say their name or date of birth and get themselves checked in,” says Salwa Al-Tahan, Research and Marketing Executive for Sodaclick, a digital content and AI experience company.

Let’s Talk About Self-Service Voice Check-In Systems

But while the addition of conversational AI certainly makes self-service kiosks “smarter,” they can’t simply be plugged into the surrounding infrastructure and work. It’s important to note that the kiosk itself is just the front end of a much more intricate, cloud-connected system.

Integrated #voice control engines permit self-service #kiosks to offer hands-free input for those unable to see or touch equipment. @sodaclick via @insightdottech

While the kiosk interface must be intuitive and engaging, most of the conversational AI processing in systems like a healthcare self-service kiosk doesn’t take place on the kiosk at all. User voice inputs are captured by the kiosk on the edge, but then transmitted to cloud-based automatic speech recognition (ASR) and NLP models that perform a few steps in quick succession.

  1. Translate the voice input from speech to text (STT)
  2. Cross-reference the text-based input with hospital databases
  3. Convert the output using text-to-speech (TTS) engines
  4. Send the result back to the kiosk where it is delivered as an audio response to the user

Early in the process there can also be a confirmation step where the cloud models confirm the received voice input with what was captured by the kiosk. But clearly, most of the intelligence is remote from the front-end user interface, and connecting it with voice services and databases containing relevant data like patient and schedule information requires significant integration work.

Combining all this technology, tuning it to a specific use case and technology environment, and doing so without violating HIPAA or GDPR regulations, is beyond even the most advanced hospital IT staff.

Voice-Enabled Kiosks Spark Conversation

A better alternative is to leverage off-the-shelf technology packages that optimize patient services, reduce cost, and lower health risks in medical facilities. For example, the Healthcare Voice AI Assistant RFP Ready Kit from Intel®, Arrow Electronics, and Sodaclick streamlines the deployment of dynamic patient check-in services on omnichannel kiosks.

“We’re not asking customers to get rid of their current self-service kiosks and buy new ones, but rather upgrade by adding the voice layer with our SDK solution. You can get the SDK, work with our development team, and deploy voice AI ready solutions very easily,” Al-Tahan explains.

Sodaclick’s AI Voice SDK brings conversational AI to digital signage touchscreens by integrating with onboard HTML or JavaScript code. It also helps overcome ASR challenges like background noise.

Sodaclick offers the SDK with support for more than 85 languages through its partners like Arrow Electronics, an Intel® Solutions Aggregator. With all the components of an immersive kiosk, the Healthcare Voice AI Assistant can identify event triggers and convey custom voice messages in real time.

Aside from the SDK, the Voice AI Assistant can include:

  • An HTML5 content creation platform based on a cloud graphics editor that lets hospitals create complex slides using rich fonts, animations, and external data sources without writing any code.
  • A digital-signage system outfitted with an Intel® Core i5 processor with 16 GB of RAM, microphone and speaker arrays, and a proximity sensor for detecting approaching users.
  • A front-end application that supports omnichannel inputs and integrates with databases using APIs.
  • A voice AI service that hosts all speech services in the cloud and delivers fully private, HIPAA- and GDPR-compliant outputs back to the cloud.

The Sodaclick content creation platform allows visual display content to be created and updated on the target kiosk in real time. And the AI Voice SDK integration with the front-end application helps support connections with the voice AI service and patient check-in databases for a seamless user experience.

Of course, one of the greatest concerns of healthcare officials considering new technologies is security and data privacy. These also happen to be one of the greatest strengths of the Healthcare Voice AI Assistant.

The entire system is based on a containerized Docker architecture, which keeps applications and data segregated from each other. It doesn’t record or log any data, but rather pushes requests and responses across a microservices architecture using the Intel Edge Software Hub.

With built-in considerations for security, connectivity, and latency, the Edge Software Hub helps keep operations flowing and reduces the risk of compromise by orchestrating data flows on private servers behind hospital firewalls.

Conversational AI at Your Service

The healthcare space is just one market where Sodaclick’s Voice SDK is already in operation. Grocery stores and quick-service restaurants are also leveraging the technology, an indication that conversational AI is already penetrating entire swaths of everyday life.

With health consciousness on the rise and changing work preferences, you’ll probably be serving yourself more often. But don’t worry, you’ll have help from talking kiosks.

“Voice is the future. And we will be seeing a lot more deployments in all sorts of settings. Everyone’s just been scratching at the surface till now,” says Al-Tahan.

 

This article was edited by Christina Cardoza, Associate Editorial Director of insight.tech.

About the Author

Brandon brings more than a decade of high-tech journalism and media experience to his current role as Editor-in-Chief of the electronics engineering publication Embedded Computing Design. His coverage focuses on artificial intelligence and machine learning, the Internet of Things, cybersecurity, embedded processors, edge computing, prototyping kits, and safety-critical systems, but extends to any topic of interest to the electronic design community. Brandon leads interactive YouTube communities around platforms like the Embedded Toolbox video interview series and Dev Kit Weekly hardware reviews, and co-hosts the Embedded Insiders Podcast. Drop him a line at brandon.lewis@opensysmedia.com or DM him on Twitter @techielew.

Profile Photo of Brandon Lewis