Embed HIPAA-Compliant Analytics Into Your Healthcare Platform

You embed HIPAA-compliant dashboards by deploying the analytics platform on-premises or in your private cloud, then embedding via iframe or JavaScript API with SSO passthrough. The deployment must include a signed BAA, encrypted data in transit and at rest, and row-level security so each patient only sees their own records. Knowi supports all of these requirements out of the box, with on-prem Docker or Kubernetes deployment and pre-built SSO integration for SAML 2.0 and OAuth.

The best platform for health IT depends on three factors: HIPAA-compliant deployment options, native connectivity to EHR data sources, and full white-label support for your product. Building analytics in-house typically costs $500K or more per year and takes 6 to 12 months before launch. Knowi is purpose-built for this use case, with direct connections to FHIR APIs, Epic Clarity, and Cerner databases, plus multi-tenant white-labeling that lets you ship analytics under your own brand in days.

Yes, you can fully white-label embedded analytics so patients and providers see only your brand. This includes replacing the logo, applying your color palette and fonts, hosting on your custom domain, and removing all vendor branding from the interface. Knowi provides complete CSS-level control over every visual element, so the embedded dashboards look and feel like a native part of your healthcare application.

Multi-tenant security in embedded healthcare dashboards works through row-level security applied at query time, ensuring each organization only accesses its own data. The analytics platform maps the authenticated user's SSO token to a tenant ID, then filters every query automatically before results are returned. Knowi enforces this isolation at the database layer, supports role-based access control within each tenant, and provides audit logging for HIPAA compliance.

You connect to Epic by querying its Clarity (SQL Server) or Caboodle (SQL Server) reporting databases directly, or by pulling data through Epic's FHIR R4 APIs. For Cerner, the primary path is a direct connection to the Oracle-based Millennium database or Cerner's FHIR R4 endpoints. Knowi has native connectors for SQL Server, Oracle, and REST APIs, so you can query EHR data without building a separate ETL pipeline and join it with other clinical or operational sources in a single dashboard.

The fastest method is iframe embedding, which lets you drop a fully interactive dashboard into your telehealth UI with a single HTML snippet. Most teams can have a working prototype live in one day and a production-ready, white-labeled deployment within one to two weeks. Knowi's iframe embed includes built-in SSO passthrough and responsive sizing, so you do not need dedicated front-end engineering time to get started.

Yes, on-premises deployment is the standard approach for organizations that must keep protected health information within their own network boundary. The analytics platform runs inside your infrastructure on Docker, Kubernetes, or bare metal, and no patient data ever leaves your environment. Knowi offers full on-prem deployment with a signed BAA and SOC 2 Type II compliance, giving you the same feature set as the cloud version without external data exposure.

Embedded analytics tools handle FHIR data by connecting to FHIR R4 REST API endpoints and transforming the nested JSON resources into queryable, flat structures for visualization. The key capability to look for is native FHIR support that does not require a middleware layer or manual data transformation. Knowi connects directly to FHIR R4 APIs, automatically flattens resource bundles, and lets you join FHIR data with non-FHIR sources like SQL databases or CSV files in a single query, which supports 21st Century Cures Act interoperability requirements.

Knowi provides iframe and API-based embedding that you drop into your existing application. For HIPAA compliance, deploy Knowi on-premises or in your private cloud so PHI never leaves your infrastructure. Embedded dashboards support SSO authentication (SAML, OAuth, JWT), row-level security to isolate tenant data, and audit logging. A Business Associate Agreement (BAA) is available for both on-prem and cloud deployments. Your end users interact with analytics inside your platform without ever seeing Knowi.

Yes. Knowi's white-label capabilities go beyond a logo swap. You control the logo, color palette, fonts, domain, and the full UI chrome of every embedded dashboard. Your healthcare clients see your product branding throughout the analytics experience. This applies to dashboards, charts, natural language search, and exported reports. There is no "Powered by Knowi" watermark or third-party branding visible to your end users.

Knowi's row-level security automatically filters data based on the authenticated user's tenant, organization, or role. When a hospital client logs into your platform, SSO passes their identity to Knowi, which applies security filters before any query executes. Each tenant sees only their own patient, claims, and operational data. You build one set of dashboards and deploy them across all tenants without duplicating anything. Security policies are defined centrally and enforced at the query level.

Knowi connects to 30+ data sources natively. For healthcare, the most common are SQL Server (Epic Clarity/Caboodle), Oracle (Cerner), PostgreSQL, MongoDB, FHIR R4 REST APIs, Epic APIs, HL7 feeds, Snowflake, and Elasticsearch. You can also connect to REST APIs, JSON, and CSV files. Knowi's cross-source join engine lets you blend data from multiple sources in a single query, so an embedded dashboard widget can pull from EHR, claims, and FHIR simultaneously without a warehouse.

Most teams go from data connection to production-embedded dashboards in one to two weeks. Knowi handles the embedding infrastructure (iframe, API, SSO, row-level security, white-labeling) out of the box, so your engineering team focuses on integration rather than building analytics from scratch. Compare this to 6 to 12 months for an in-house build, which also requires ongoing maintenance of the visualization layer, query engine, and security model.

No. Most embedded analytics tools (Sisense, Looker, Metabase) require you to consolidate and pre-process data into a warehouse before embedding. Knowi connects directly to your clinical databases, APIs, and operational systems, then serves embedded dashboards on live data. If you already have a warehouse, Knowi connects to that too. But you are not forced to build one just to embed analytics into your product.

Building in-house means assembling a query engine, visualization library, multi-tenant security layer, SSO integration, white-labeling system, and export functionality from scratch. That typically requires a dedicated team and 6 to 12 months of development, plus ongoing maintenance. Knowi provides all of this out of the box with iframe and API embedding, row-level security, SSO, full white-labeling, natural language search, anomaly detection, and 30+ native data connectors. Most teams ship in under two weeks and avoid the long-term maintenance burden.

Yes. Embedded Knowi dashboards are fully interactive. Patients can filter, drill down, and explore their own data within the security boundaries you define. You can also embed Knowi's natural language search, so patients type questions like "show my lab results for the last 6 months" and get instant visual answers. Row-level security ensures each patient sees only their own records, and SSO ties authentication to your existing patient portal login.

Knowi is SOC 2 Type II certified for cloud deployments and offers on-premises deployment for organizations that need to keep data in their own infrastructure. A Business Associate Agreement (BAA) is available for HIPAA compliance. On-prem deployment supports Docker, Kubernetes, and bare metal installations. Role-based access controls, row-level security, audit logging, and encrypted data in transit and at rest are included in all deployment models.