Oracle Healthcare United States

Horizon Corporations

Document Processing · IT Operations Automation

Horizon needed to simplify physician documentation in behavioral health so providers could spend less time on administrative tasks in the EHR and more time on patient treatment and connection.

16 out of 40 physicians used Oracle Health AI Agents for more than 40% of their notes
25.43% reduction in average adjusted time spent in the EHR per patient
57.43% reduction in average adjusted documentation time

Reported impact

Business outcome

Horizon cut documentation and EHR time per patient, giving behavioral health providers more time to focus on treatment and patient connection while reducing burnout pressure.

  • Customer Experience
  • Productivity Improvement

Solution

Horizon Corporations rolled out Oracle Health AI Agents through its mobile physician workflows to automate behavioral-health documentation. The mobile application captures encounter details during care and generates a draft clinical note that providers can review, approve, and sign without typing the entire record manually. By putting the ambient documentation layer directly on providers' devices, Horizon can reduce note-writing time without asking clinicians to leave their normal patient interactions or sacrifice documentation quality. The AI agent also reduces the amount of time clinicians spend inside the EHR per patient, which matters in a treatment setting where provider attention and empathy are central to care delivery. The deployment shows how Oracle's clinical AI can be adapted to outpatient mental health and substance-use treatment workflows, where fast documentation turnaround directly affects staff burnout and the amount of time clinicians can devote to patients.

Data flow

During patient encounters, Oracle Health AI Agents captures clinical details through the provider mobile workflow, drafts a note for physician review and sign-off, and shortens the time clinicians must spend documenting each visit in the EHR.

Solution architecture

1 components · 1 layer
  1. Serving
    • Oracle Health AI Agents Generates draft clinical documentation from provider activity on mobile devices so physicians can complete notes faster.

Architecture clues

  • Behavioral health outpatient workflows are the primary implementation setting
  • Deployment uses the Oracle Health AI Agents mobile application
  • Draft clinical notes are reviewed and signed by physicians before completion

Evidence from the source

By implementing the Oracle Health AI Agents mobile application across its physicians’ mobile devices, Horizon has empowered them to complete documentation quickly and efficiently.
Since go-live, Horizon Corporations has achieved a 57.43% reduction in average adjusted documentation time and a 25.43% reduction in average adjusted time spent in the EHR per patient.
The solution automatically generates a draft clinical note for physician review, approval, and sign-off.
Transparency Evidence & methodology 100/100 reference value · 74% confidence · 1 source

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 value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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 impact25/25
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence74%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    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. Oracle

    Horizon Corporations customer story

    First-party
    https://www.oracle.com/customers/horizon-corporations/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Feb 10, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.