The role of AI in healthcare is one of the most discussed topics today and will continue to shape the industry for the foreseeable future. While many discussions focus on AI's potential to manage patient volume, automate administrative work, and assist in diagnosis, there is also a growing focus on clinical efficacy and patient safety. Ensuring that these often misunderstood systems meet the rigorous standards of modern medicine is a crucial challenge.
One of the biggest concerns with AI in healthcare is the lack of understanding of how AI generates a response and the potential for generating incorrect or misleading information. In a field as sensitive as healthcare, there is no room for error. Patients and providers alike need confidence in the reliability of AI-powered tools.
By combining the power of three distinct AI models into a cohesive, seamless system, Fabric delivers a solution that healthcare leaders can trust to bolster their operations and improve care outcomes. In this article, you’ll learn how Hybrid AI addresses healthcare challenges and raises the bar for safety, engagement, and clinical accuracy.
The Right Fit for AI in Healthcare
AI isn't new to healthcare. While OpenAI’s ChatGPT brought AI into mainstream conversations in 2022, AI-driven healthcare solutions have been in development for much longer. In fact, Fabric’s intelligent adaptive interviews—also known as a clinical expert system or asynchronous telemedicine—have been in use since 2009. This AI-powered technology enables providers to treat patients up to 10 times faster than standard visits.
While this form of AI excels in diagnostics, it has limitations when it comes to other parts of the care journey. End-to-end care enablement requires addressing patient questions, surfacing relevant responses based on their symptoms, and helping them navigate a complicated healthcare journey. AI systems that specialize in only one aspect of care are limited in application.
The Three Components of Fabric Hybrid AI
To address these challenges, Fabric has developed Hybrid AI, combining three distinct forms of AI to enhance the care experience. By integrating large language model (LLM), natural language processing (NLP), and a clinical expert system, Hybrid AI allows healthcare organizations to confidently adopt AI solutions that deliver seamless, safe, and effective patient experiences. Based on the user’s input, Fabric’s products dynamically transition between AI models to provide the most accurate and convenient responses.
Leveraging three forms of AI, Fabric Hybrid AI empowers healthcare organizations to expand capacity, improve patient access, and ensure clinical accuracy while reducing administrative burdens. This approach represents the future of AI-driven healthcare—one that prioritizes safety, efficiency, and a seamless patient experience.
Improving Healthcare with Hybrid AI
The power of Hybrid AI lies in its ability to support the entire care experience, from initial interactions at the Digital Front Door® through triage, routing, and follow-up care.
Hybrid AI at the Digital Front Door®
Hybrid AI at the Digital Front Door® enables 24/7 self-service for better consumer experiences and increased patient acquisition. From the moment a patient visits a healthcare provider's website, they are greeted with a friendly, conversational AI chat that inquires about their intentions. Whether they are looking to pay a bill, find available appointment times, locate a provider, or check symptoms, Fabric's LLM and NLP provide immediate responses and guide patients to the right resources.
The AI assistant also recognizes when an inquiry is clinical in nature and seamlessly transitions the patient to the appropriate care path. It can step up to virtual care (powered by our Clinical Expert System) or guide patients toward scheduling an appointment or seeking emergency care when necessary. This enables patients to get answers and care faster while reducing the burden on call centers and driving revenue.
Hybrid AI for Care Delivery
Hybrid AI streamlines the process of delivering care, both virtually and in person. The clinical expert system initiates a series of adaptive questions based on patient symptoms, collecting enough information to determine a diagnosis. This information is then structured into a convenient SOAP-style note, allowing providers to review and treat in just 89 seconds for virtual care. With a single click, providers can submit a formal diagnosis, create a patient treatment plan, and prescribe medication if needed. This entire process is 10 times faster than a traditional in-person or video visit. When applied to video visits, Hybrid AI collects patient information in advance, making virtual appointments over twice as efficient.
Hybrid AI for Patient Engagement
Ongoing patient engagement is an essential component of care enablement. By leveraging automated follow-ups, personalized reminders, and pre/post-visit information, healthcare providers can monitor patient progress, address concerns promptly, and ensure patients are prepared and on time for appointments.
Fabric Hybrid AI simplifies patient engagement by automating key touch points, eliminating the need for additional staff or fragmented point solutions. With timely reminders and proactive check-ins, Fabric helps identify potential health concerns early, keeping patients actively involved in their care journey. These automated interactions boost adherence to treatment plans, strengthen care continuity, and ultimately lead to better patient outcomes.
Hybrid AI is Built for Safety and Third-Party Validated
Safety is the top priority, which is why Fabric has implemented rigorous standards to uphold the highest quality of care. Fabric’s clinical expert system is designed and maintained by an expert team of care providers and is reviewed for quality by third-party organizations, including our Clinical Quality Advisory Council, which is made up of more than 15 CMOs and medical directors from leading institutions across the U.S.
A study conducted by Baylor Scott & White confirmed that Fabric’s clinical expert system is as effective in diagnosing patients as an in-person visit. For more information, download the study.
Award-Winning AI for Healthcare
Fabric’s commitment to solving healthcare’s greatest challenges has earned recognition from industry leaders. Our solutions have received awards and accolades from prestigious organizations, including Frost & Sullivan, CB Insights, Digital Health New York, IVP, and Avia Marketplace, further validating its effective go-to-market strategy and tangible results for patients, providers, employers, and payers.
By integrating three forms of AI, Fabric Hybrid AI empowers healthcare organizations to expand capacity, improve patient access, and ensure clinical accuracy while reducing administrative burdens. This approach represents the future of AI-driven healthcare—one that prioritizes safety, efficiency, and a seamless patient experience.
To see Hybrid AI in action across Fabric’s integrated Care Enablement System, schedule a demo.
