Real-world use cases of conversational AI in healthcare

The healthcare sector has always been at the forefront of adopting innovative solutions to enhance patient care and streamline administrative processes. One of the most promising technologies reshaping this landscape is Conversational AI. With the ability to understand and respond to natural language, Conversational AI is not only transforming patient interactions but also significantly reducing the workload on healthcare providers. From appointment scheduling to disseminating critical health information, organizations are leveraging this technology to address common challenges and deliver personalized care. In this blog, we’ll explore some of the promising real-world AI use cases in healthcare.

What are the key challenges mitigated by conversational AI?

Information dissemination: Combating misinformation for better communication

One of the major challenges in healthcare is ensuring that accurate information reaches a diverse population, especially during health crises. Conversational AI has proven to be an effective tool for disseminating reliable health information and countering misinformation.

Appointment scheduling: AI use cases in healthcae to streamline the patient experience

One of the most impactful AI use cases in healthcare is the use of chatbots for making a doctor’s appointment. Scheduling medical appointments can be a cumbersome task for both patients and healthcare providers. Conversational AI addresses this issue by automating the scheduling process, making it easier to book, reschedule, or cancel appointments. 

Addressing FAQs: Ensuring access to quick and reliable information 

Patients often have common questions related to healthcare services, which can lead to a high volume of routine inquiries for administrative staff. Conversational AI, through chatbots, is adept at handling FAQs, allowing patients to quickly access essential information. Exploring AI use cases in healthcare reveals how technology is transforming patient care.

Gaining patient insights: Enabling data-driven healthcare

In addition to managing routine tasks, Conversational AI plays a pivotal role in gathering and analyzing patient data. By processing patient histories and reported symptoms, AI-driven assistants provide healthcare providers with actionable insights for more personalized care.

How Conversational AI is solving key challenges: AI use cases in healthcare

Here are some of the real-world examples of conversational AI in action – 

Communicating accurate health information during the pandemic

During the COVID-19 pandemic, Translators Without Borders developed a multilingual chatbot to distribute accurate health information in the Democratic Republic of the Congo and Nigeria. The chatbot utilized natural language processing to respond to questions about COVID-19 in local languages via popular platforms like Facebook, Telegram, and WhatsApp. This approach enabled the delivery of reliable, real-time health updates tailored to the users’ needs, ensuring that critical information was accessible to diverse populations. The initiative highlighted how Conversational AI could be a crucial asset in combating misinformation and effectively communicating health advice. AI use cases in healthcare such as this have a far reaching impact for the globe. 

Cognify creates a seamless appointment scheduling experience 

Rochester Regional Health employed an AI-powered chatbot called Cognify that allows patients to manage their appointments through a conversational interface. This tool not only streamlines the scheduling process but also sends reminders about upcoming appointments, required documents, and other pertinent details. As a result, it has significantly reduced administrative workloads and enhanced overall patient satisfaction by offering a seamless scheduling experience.

Quincy delivers quick answers to patient queries instantly

QliqSOFT developed an AI chatbot named Quincy, specifically designed to assist with frequently asked questions. Quincy is capable of answering queries about medical records, doctor availability, and general health information, enabling patients to get quick answers without waiting for human assistance. This has not only eased the workload for staff but also enhanced the patient experience by providing immediate, reliable information.

Pfizer’s Medibot educates patients about possible treatment options

Pfizer introduced an AI chatbot called Medibot, which assists patients in finding information about medications and treatment options. Medibot leverages Conversational AI to give instant responses to patient queries, providing detailed information and gathering valuable data for healthcare professionals. This has streamlined communication, improved patient satisfaction, and freed up time for healthcare staff to focus on more critical tasks.

AI Use cases in healthcare: Conversational AI as a transformative tool

Conversational AI is no longer a futuristic concept—it’s a reality that’s transforming the way healthcare is delivered. By facilitating better communication, automating administrative processes, and providing valuable insights, Conversational AI is helping healthcare organizations improve patient outcomes while optimizing their operations. As the technology continues to evolve, its role in healthcare will only grow, enabling providers to offer more personalized, efficient, and accessible care. The use cases discussed illustrate just the beginning of what Conversational AI can achieve in revolutionizing the healthcare sector.

With advances in technology, new AI use cases in healthcare continue to emerge, revolutionizing the industry.

For an in-depth exploration of AI’s impact on healthcare, download our detailed whitepaper now and stay ahead in the evolving landscape of digital health.