Hospital patients and visitors expect quick access to accurate information. They've used the search bar on hospital websites to try to find information which leads to a long list of links, creating a frustrating experience during what can already be a stressful time.
There’s a new solution: AI-powered search can transform how hospitals engage with their audiences by delivering faster and more personalized results.
In this new search experience, hospitals can choose whether they want to use AI to answer the user’s question / query OR help their users navigate to the right link(s). Either way, the hospital would answer these search queries using their content, and their content only, rather than from an AI large language model’s knowledge base.
The limitations of traditional search on hospital websites
Patients and family members search on a hospital’s website for information about visiting hours, parking, billing inquiries, or clinical guidelines. Traditional keyword-based search systems return lengthy lists of links that may not directly address the user’s specific needs. This leads to a delay in getting this information and increases the workload for hospital staff managing support calls and in-person inquiries.
AI-powered search can transform hospital interactions
Instead of simple keyword matching, AI-powered search can understand the natural language of a query and interpret its context. It then will be able to provide a direct answer to the user from the hospital’s trusted content.
By leveraging techniques like retrieval-augmented generation (RAG), these search systems can scan many hospital documents to ensure the most relative response is accurate and current. Think of it this way: the AI collects many relevant documents ... much like a researcher gathering articles for a comprehensive study. Instead of just returning a list of links, it analyzes each document to extract the key details and insights and then forms a concise, contextually appropriate answer back to the user. This process mirrors how an individual would review sources to determine the most relevant information, but it does so in a fraction of the time.
For clinical questions, hospitals can take a different approach. Hospitals will likely not want AI to create an “answer” to the user even if the source is from their own content. Recognizing the sensitivity and complexity of topics such as “how do you treat diabetes,” the system will instead create a list of the most relevant links - such as webpages or PDFs - in order of relevancy. Each result will also have a summary below it explaining why it’s useful to the query. This ensures that users, whether patients or healthcare professionals, are guided to trusted, expert-approved resources rather than receiving a direct AI-generated clinical recommendation.
AI search is also designed for multimodal interactions. Whether a patient types their question, speaks it aloud, or even uses an image to enhance their query, the AI search can handle it. It can also provide a voice response, or an image displayed right after the text response when answering a query. This flexibility makes it easier for users to engage with search in the way that suits them best. And, AI search can supports multilingual queries, responding in the language the patient uses, ensuring accessibility for diverse patient populations.
Key features of AI Search for hospitals
Contextual understanding:
AI search is able to tell when someone is asking a clinical and non-clinical question. For a clinical question, the copilot would answer with the most relevant links as well as a summary below each link for why that link was provided. For example, if a patient asked, “Is strep throat contagious?” they would receive a list of links to the most relevant content that the hospital uploaded, while non-clinical questions such as “What are the visiting hours?” are answered directly by AI (using the organization’s content).
Integration with hospital systems:
The system integrates with hospital systems, including Electronic Health Records (EHRs) via secure FHIR APIs. This integration guarantees that the information provided is current and aligned with the hospital’s operational data, ensuring consistency across digital and in-person experiences.
Compliance and security:
Patient privacy is important. Look for an AI-powered search solution that complies with HIPAA and SOC 2 standards. By automatically filtering out Protected Health Information (PHI), these systems safeguard sensitive data and build trust among patients and hospital staff.
Multilingual support:
Patients and visitors will want to search a hospital site in their language of choice. The AI search will respond in the language in which the query is asked, improving user accessibility and experience.
User engagement:
Integrated call-to-action (CTA) buttons -- like “Find Urgent Care,” “Pay Your Bill,” or “Get Directions” -- encourage patients to take the next step immediately after receiving their answer. This feature fast tracks the user journey by reducing the need to navigate away from the search interface for further action.
Benefits for hospitals
By integrating AI-powered search, hospitals can significantly enhance patient experience and operational efficiency. Patients find the answers they need quickly, reducing the need for follow-up calls and in-person visits for routine inquiries. This not only increases satisfaction but also allows hospital staff to focus on more complex cases and patient care. Additionally, real-time analytics help hospitals monitor engagement patterns so they can continuously optimize their digital services and support strategies.
AI-powered search will change how hospitals communicate with their patients and visitors. By delivering accurate responses and integrating seamlessly with hospital systems, this technology sets a new standard for digital healthcare engagement. As hospitals continue to embrace AI-driven solutions, the future promises even more efficient, secure, and personalized patient experiences, making every interaction a step toward better care.