Health System Roundtable | May 2026

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Here is a comprehensive summary of the key updates and roadmap initiatives discussed during the Kyruus Health & RevSpring Health System Customer Roundtable in May 2026.

1. Connect Admin Enhancements & Location Data Management

A primary focus of the presentation was optimizing operations for clinical data and administrative teams through layout overhauls and single-action bulk workflows.

  • Clinical Keywords Bulk Operations: To reduce workflow pain points, a new interface allows clinical data teams to perform bulk flag updates (Updating Enabled, Searchable, and Promoted metrics) across hundreds of keywords simultaneously inside a single modal.

  • Inactive Location Indicators: Active and inactive locations are now clearly separated within the Provider Profile. A clear visual indicator marks locations where the "Currently Seeing Patients" field is set to "No".

  • Unified Location Model (LDM): The old Marketable Locations (MLOC) setup has been officially replaced by a single, unified model combining Marketable and Practice Locations, managed directly in Connect Admin. This framework supports full parent-child family trees to handle complex campus-to-suite structures at scale.

  • LDM Roadmap (Q2 In-Development/Discovery): * Granular Location Permissions: Introduction of a dedicated "Create Location" permission to grant field-level edit access without allowing users to create entirely new locations.

    • Simpler Navigation: Adding an inline-editable "Purpose Field" (Marketing/Practicing/Both) as a filterable column.

    • Hierarchy Automation: Grouping child locations dynamically on the UI list and ingesting these pipeline relationships directly from data pipelines to eliminate manual setup.

2. AI Bios & Approval Workflows

As health systems scale their deployment of generative AI, Kyruus showcased how they are centering their technology around full administrative control.

  • The Approval Workflow Queue: Built into the core bio-generation pipeline, this feature operates on an "AI suggests, humans approve" model. No AI-generated bio will publish to patients without explicit team sign-off. The profile never locks, successfully supporting multiple drafts and role-based reviewers. Expected GA Release: Early Q3.

  • Customer Brand Configurations: Health systems will soon be able to set custom templates for reading level, bio length, tone, and rule structures to mirror local brand guidelines. Expected GA Release: Early Q3.

  • AI Discovery & Horizons: Future updates include claim-informed clinical keywords mapped to provider practice patterns , Profile Health Scores (SEO + GEO scoring) , verified provider-level payer data , and per-location equipment searchability data.

3. Provider Search Updates & Patient Experience

Kyruus revealed substantial design updates focused on minimizing search "bounce rates" and increasing conversion speeds.

  • Refreshed Banners & Accessibility Compliance: Generally available updates include modernized, color-coded border alerts across searching and scheduling. Furthermore, critical accessibility issues were completely resolved to achieve federal mandate WCAG 2.2 AA Compliance.

  • Modern Provider Cards: New minimalist cards allow patients to simultaneously "window shop" and compare multiple providers to speed up booking. Currently available for preview, this layout will launch as auto-on for all grid view health systems on June 2.

  • Generative Engine Optimization (GEO) & NLP: Enhanced Natural Language Processing now automatically detects languages, genders, and interchangeable shorthand credentials (e.g., searching "NP" successfully filters Nurse Practitioners) directly from natural phrasing. Provider pages are built explicitly to be easily crawlable by approved AI bots and are verified via official government NPI records.

  • Patient Search Refiner Beta Results: Early metrics for the guided, body-part-based screening tool showed spectacular patient engagement:

    • +194% more sessions reached an active scheduling interaction.

    • +604% appointment booking rate (surpassing 7× the historical conversion average across beta clients).

4. Insurance Card Capture & Scheduling Workflows

  • Optical Character Recognition (OCR): Patients can now utilize OCR to instantly capture and validate reliable insurance data directly from a photo at the time of scheduling. This populates registration forms and discrete EHR fields automatically.

  • Provider-Agnostic Scheduling: The core scheduling module now supports aggregated appointment booking directly at the location level rather than requiring a designated provider first.

5. Reach: Listings, Reputation, and Integrations

  • Publisher Icons: Plain text publisher labels have been replaced across the Reviews Table, Source Filter, and Review Detail pages with clear Google "G" and Healthgrades logos, equipped with hover-to-view tooltips.

  • Non-Compliant Listings Fix: Fixed an issue where suspended/disabled Google listings incorrectly labeled reviews as "Deleted at Source". The system now clearly alerts users that replies are temporarily unavailable and restores functionality automatically once Google resolves the backend issue.

  • CredentialStream Integration: Users can officially move away from heavy nightly flat-file exchanges. This update establishes a secure, automated, nightly API-based transfer of credentialing records over to Kyruus Connect for Providers.

6. The Model Context Protocol (MCP) Framework

The roundtable concluded with an overview of the Model Context Protocol (MCP)—a universal "plug adapter" framework connecting AI systems securely to internal health data sources. Two specific use cases were highlighted:

  • Internal Golden Record (EHR & AI Workflows): A private, credentialed MCP that lets an AI agent access the live golden record of provider data in real time. Conversational AI agents can look up specialties, check live EHR availability, and execute booking seamlessly within a single conversational turn.

  • Network Intelligence (Referral Leakage Operations): Replaces static spreadsheet workflows by creating a queryable, agent-ready operational layer. Liaisons can easily ask an AI agent to query the MCP to expose and prioritize lapse-credentialed or inactive physicians based on historical referral volume.

Announcements & Next Session

  • Public Release Notes: To ensure better transparency, weekly Thursday release notes are now completely public and archived on the support page (kyruushealth.zendesk.com), requiring no login credentials.

  • Next Roundtable Event: Marked for June 17, 2026, at 9:00 AM PST / 12:00 PM EST.

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