For AI to truly empower patients in finding the care they need, it must rely on clinical information that’s accurate and easy to understand. Comprehensive, clinically specific data forms a foundation that allows AI to bridge the gap between complex medical language and accessible, patient-friendly guidance.

Here’s how leveraging clinically standardized taxonomy strengthens AI’s ability to guide people to the right care, with greater ease and precision:

Enhanced Accuracy and Relevance

Using a clinical library with terms for conditions, treatments, specialties, and provider types means AI can deliver more accurate and relevant results. Clear, patient-friendly language helps remove ambiguity and ensures users find what they need without getting lost in medical jargon.

Improved Search Efficiency

With an organized library of terms, AI can quickly process search queries, leading to faster, more efficient results. This means less time spent searching and more time spent accessing the right information.

Consistent, Trustworthy Results

A standardized taxonomy promotes consistency across searches, which builds user trust in the results. People know they’re receiving reliable information each time they search, regardless of how they phrase their query.

Enhanced User Experience

Clinically specific and standardized taxonomy lets AI interpret queries with greater precision. This helps patients and members make well-informed choices about providers, services, and care locations based on accurate, relevant insights.

Scalability and Interoperability

Healthcare is always evolving, and so is Kyruus Health’s Clinical Library. By continually updating to match healthcare advancements, we ensure AI solutions stay current. Standardized terms also improve interoperability across platforms, supporting a coordinated approach to patient care.

With a robust clinical taxonomy guiding AI, healthcare organizations can deliver a more intuitive, helpful experience for patients, members, and providers alike. Kyruus Health’s Clinical Library is built with over 35,000 terms for symptoms, conditions, and treatments—covering both clinical and lay language. Curated and updated by our Clinical Team, this resource ensures AI-driven tools meet the growing needs of care access with accuracy, empathy, and efficiency.

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Commonly, healthcare software companies use focus groups to evaluate new products, test user experiences, and evaluate workflows. These focus groups are typically sourced for that one time experience to give the developers, project managers and engineers feedback. These types of user groups continue to serve an important role in software testing and development; a totally different role than that of our PFAC members. Our PFAC at HealthSparq is much more than a focus group and the first of its kind to be embedded into a healthcare software company.

Serving as trusted advisors is the main role of our PFAC. This group of eight professional patients and/or family members were recruited in 2021 and have been meeting quarterly with executives and leaders from across the organization. They are a very diverse group of individuals with a wide variety of healthcare experiences from across the United States. Their approach to feedback is different because early on they are exposed to all of our products, our strategies, and in-depth knowledge of the problems we are trying to solve for members, providers, and health plans. They come to the table with this knowledge and that is overlaid with their real life experiences as patients and family members.

In this first full year of our work with the PFAC their feedback has significantly impacted the development of many HealthSparq features and products. Some examples include:

• Treatment Timelines: This feature offers education for patients to help them better understand their timeline to complete care treatment. The PFAC members were able to clearly outline the pieces of information that they valued for this feature to better understand their care and associated benefits. The product team was then able to use this information to future develop this feature.
• Guidance: The Council members were given a demo of early stage development of new guidance features to better help patients use our search tools to find the information about their options for care. The feedback from the PFAC led to quick changes in the development of this feature which will ultimately better support all member users.
• Digital Healthcare Journeys: The PFAC gave our product team feedback on a wide variety of digital tools that they use in the health plan space to find out information about providers, care options, coverage, and costs. The information was then used to establish future directions for our products that could bring more value to patients and families and ultimately providers and health plans.
• Race, Ethnicity, Gender Identity: The PFAC has also engaged in fairly sensitive conversations around what information they would like to access about their providers. Our DEI team had an in depth discussion related to surfacing race, ethnicity, and gender on provider profiles. They universally agreed that they are more concerned about their provider’s philosophy of care, how they connect to their patients, and their expertise as opposed to these discrete identity data points. They ultimately helped us craft our data integrity and philosophical approach to the use of this data within our platforms.

Our PFAC has been an amazing addition to our company, product development, and strategic planning. Their insights will, without a doubt, ultimately benefit all of you, your plans, and the members that you serve. You can learn more about the individuals serving on our PFAC here.

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