The healthcare industry always welcomes new technologies, especially those that pave the way for significant improvements in operations and patient outcomes. Among the innovative solutions coming up in the field is the use of conversational artificial intelligence (AI) for healthcare.
Contrary to popular belief, conversational AI is not limited to chatbots. Conversational AI solutions refer to any system that uses AI strategies like Natural Language Processing (NLP) and Machine Learning (ML) to create automated yet human-like conversations with users.
How Does Conversational AI Work?
Conversational AI platforms utilize sophisticated technologies based on NLP, ML, and deep contextual understanding to communicate with users in a human-like behavior. These advanced systems can understand and answer complex questions, unlike traditional chatbots that are only limited to pre-set scripts and simple queries.
How does an AI-powered system engage in human-like conversations? First, NLP allows the system to analyze and comprehend the presented text. Next, ML algorithms collect data from recorded interactions to devise responses. Finally, deep learning capabilities enable the system to recognize customer feedback and learn from it, allowing it to adapt and improve over time.
When combined with healthcare systems like EHR or CRM, conversational AI can access stored information to provide detailed and accurate responses. Aside from automating repetitive tasks, conversational AI can offer personalized experiences to improve patient engagement due to its ability to understand and generate natural language.
The Benefits of Conversational AI for Healthcare
Conversational AI excels at improving customer service for a better patient experience. However, the real-time interactions provided by these systems can also lead to additional benefits, such as:
All-Time Access
Implementing conversational AI gives patients 24/7 access to support and information, no matter where they are or what time it is. Unlike healthcare professionals, AI tools will not have vacation or sick days (barring maintenance) and typically have full availability 365 days a year.
Increased Operational Efficiency
Conversational AI tools can automate routine tasks in healthcare institutions, from finding doctors to refilling prescriptions. By using AI to manage simple and repetitive tasks, healthcare professionals can use their time and energy on more critical processes.
Call Deflection
Contact center agents get hundreds of calls daily regarding common questions such as operating hours and contact information. Companies can leverage conversational AI solutions to address basic concerns and relieve the burden on customer service agents.
Valuable Insights
Conversational AI is designed to learn from the inquiries they respond to, so it only makes sense for it to develop valuable insights after receiving enough input. These insights are 100% data-driven, delivered by recognizing patterns and analyzing patient information.
Top Applications of Conversational AI in Healthcare
Offer Advice for Symptoms
It's not uncommon for people to use the internet to learn more about their symptoms when they feel unwell. Unfortunately, search engines cannot provide personalized advice and give users accurate information. On the other hand, conversational AI can possibly diagnose symptoms and offer treatment advice by asking users a series of relevant and timely questions about how they feel.
Moreover, conversational AI is flexible when it comes to languages. By using multiple databases and information sources, conversational AI can decode misspellings and grammatical errors to evaluate data without making diagnostic errors.
Schedule Appointments
Managing appointments in healthcare can be challenging given the high demands in the industry. Conversational AI systems help simplify scheduling appointments by serving as an extensive database of doctors, clinics, and schedules, giving patients the freedom to make an arrangement that matches their timetables.
Additionally, conversational AI tools can send patients reminders on what to bring or what to expect before coming to the clinic, ensuring a better experience.
Assist in Medication Management
Conversational AI systems can help doctors and patients with medication management. AI tools can be used to analyze a patient's health information and go through their medical history to provide personalized guidance.
Similarly, AI tools can help patients keep track of their remaining medicine and remind them when it's time to refill. Most AI solutions can send alerts throughout the day to nudge patients to take their medication as prescribed. Moreover, it helps patients stay motivated and stick to their medication routine.
A Final Word on Conversational AI in Healthcare
Conversational AI, or artificial intelligence in general, has a promising future in the healthcare industry. As technology is expected to keep evolving, there will surely be advances in NLP and ML which will lead to increasingly sophisticated AI systems.
It's not far-fetched for conversational AI to become a core component in the future, helping healthcare professionals communicate better and more efficiently with patients. In an ideal scenario, conversational AI will be fully integrated into every healthcare organization's existing system and deliver efficient operations while driving better patient outcomes.
