Databricks Healthcare United States

ModMed

Enterprise Knowledge Search · Real-time Analytics

ModMed needed to protect sensitive patient data and maintain compliance while reducing administrative overhead, improving access to operational data, and creating AI-enabled products and agentic workflows for ambulatory healthcare specialties.

Reported impact

Business outcome

ModMed established a secure, governed foundation for AI-enabled products and agentic workflows, gave care providers and internal teams faster access to dashboards and actionable insights, and reduced administrative burden without compromising patient-data security or compliance.

  • Productivity Improvement
  • Risk Reduction

Solution

ModMed uses the Databricks Data + AI Platform to support secure healthcare analytics and agentic workflows. The implementation pairs Lakebase with Unity Catalog so relational information can be queried in near real time while access stays governed through catalog structure, permissions, and context that fit healthcare security requirements. That governed data foundation helps ModMed move data where it is needed, speed up dashboards, and deliver actionable insights to care providers and internal teams. On top of the same environment, Genie Agents and Genie Code let non-technical teams interact with enterprise data through natural language instead of building separate custom AI applications for each request. The result is a single governed path from relational data access to dashboards and AI-enabled workflows that reduces administrative burden while supporting continued product innovation.

Data flow

Relational healthcare and operational data is exposed through Lakebase, governed by Unity Catalog, and made available in near real time for rapidly loading dashboards and actionable insights. Genie Agents and Genie Code consume the same catalog structure, permissions, and context so non-technical teams can query enterprise data in natural language and run agentic workflows on the governed foundation.

Solution architecture

5 components · 5 layers
  1. Compute
    • Databricks Data + AI Platform Provides the overall governed platform ModMed uses to build AI-enabled products and power internal agentic workflows.
  2. Storage
    • Lakebase Provides near real-time relational data access so dashboards and AI workflows can use current operational information.
  3. Serving
    • Genie Agents Lets non-technical teams interact with enterprise data in natural language for internal requests and agentic workflows.
  4. Governance
    • Unity Catalog Applies catalog structure, user permissions, and governed access controls across the data used by dashboards and AI workflows.
  5. Uncategorized
    • Genie Code Uses catalog structure, permissions, and context to support natural-language access without separate custom AI applications.

Architecture clues

  • Cloud deployment is listed as AWS.
  • Dashboards load rapidly to deliver immediate insights to care providers.
  • Genie Agents and Genie Code expose natural-language interaction with enterprise data.
  • Lakebase provides near real-time querying of relational data.
  • Unity Catalog supplies catalog structure, user permissions, and context for governed access.

Evidence from the source

For ModMed, providing healthcare technology to ambulatory surgical specialties requires an infrastructure that upholds rigorous security while enabling continuous innovation.
Genie Agents and Genie Code understand catalog structure, user permissions and context, eliminating the need to build custom AI applications for every internal request.
Lakebase enables near real-time querying of relational data, allowing dashboards to load rapidly and deliver immediate insights to care providers.
To improve operational efficiency and data access, ModMed implemented Lakebase alongside Unity Catalog.
Together, they establish a foundation for high-performance agentic workflows.
Transparency Evidence & methodology 70/100 reference value · 92% confidence · 3 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value70/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    3 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Databricks

    ModMed customer story

    First-party
    https://www.databricks.com/customers/mod-med
    Source type
    Vendor-published customer story
    Published
    Oct 8, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. ModMed

    Contact Us

    First-party
    https://www.modmed.com/contact-us/

    The contact page lists the headquarters as "4700 Exchange Court, Suite 225, Boca Raton, FL 33431," in the United States.

    Source type
    Official company website
    Supports
    • Region
  3. Built In

    ModMed Careers, Perks + Culture | Built In

    Independent secondary
    https://builtin.com/company/modmed

    The page embeds Organization schema with numberOfEmployees value 1153.

    Source type
    Structured profile
    Supports
    • Company size

Date evidence

  • Published on source page Oct 8, 2026 · Databricks · First-party
    Open date source
Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.