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Microsoft Healthcare Brazil

Oncoclinicas

Document Processing

With the support of Dataside, a Microsoft partner, the nation's largest Oncology group was able to transform its entire data ecosystem with a web portal and mobile application that performs all image processing and storage with Azure support and the use of AI and Machine Learning tools.

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Oncoclínicas is the largest Oncology group in Latin America, with 129 care units in 13 Brazilian states and the Federal District.
The company has more than 7,000 employees and 1,800 medical specialists, conducts more than 180,000 consultations per year, as well as more than 300,000 chemotherapy and radiotherapy procedures per year.

Reported impact

Business outcome

Oncoclínicas is the largest Oncology group in Latin America, with 129 care units in 13 Brazilian states and the Federal District.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

Oncoclinicas built a Microsoft-based workflow around Azure AI Services, Azure Cosmos DB, Azure Functions, and Azure Machine Learning because With the support of Dataside, a Microsoft partner, the nation's largest Oncology group was able to transform its entire data ecosystem with a web portal and mobile application.... Source information is captured from frontline systems, documents, transactions, images, or conversations and then processed with cloud services that classify, summarize, model, or route the data for downstream use. The resulting records are stored in shared business or analytical systems and surfaced through apps, dashboards, or case workflows so staff can move from manual review to faster action while still keeping a governed human-in-the-loop process. This turns scattered data into an operational workflow rather than a static report, making the same platform useful for both daily execution and future scaling, and Oncoclínicas is the largest Oncology group in Latin...

Data flow

Source data is captured from frontline systems or content, processed by the Microsoft-based workflow, stored in a shared business or analytical layer, and then surfaced back to staff through apps, dashboards, or case-management experiences.

Solution architecture

4 components · 3 layers
  1. Compute
    • Azure AI Services Processes unstructured content with managed AI capabilities such as speech, vision, or language analysis.
    • Azure Machine Learning Trains and operationalizes custom models on the organization’s curated data.
  2. Storage
    • Azure Cosmos DB Stores application records and extracted data in a cloud-native database.
  3. Uncategorized
    • Azure Functions Supports a specific part of the customer’s Microsoft-based implementation.

Architecture clues

  • Oncoclínicas is the largest Oncology group in Latin America, with 129 care units in 13 Brazilian states and the Federal District.
  • Primary implementation components: Azure AI Services, Azure Cosmos DB, Azure Functions, Azure Machine Learning
  • The company has more than 7,000 employees and 1,800 medical specialists, conducts more than 180,000 consultations per year, as well as more than 300,000 chemotherapy and radiotherapy procedures per year.

Evidence from the source

In its units, it brings together experts in the areas of Oncology, Radiotherapy, Hematology and Bone Marrow Transplantation, as well as multidisciplinary teams, complementary care, integrated care and individualized treatment.
It's extremely valuable information, but it wasn't accessible.
Oncoclínicas is the largest Oncology group in Latin America, with 129 care units in 13 Brazilian states and the Federal District.
The company has more than 7,000 employees and 1,800 medical specialists, conducts more than 180,000 consultations per year, as well as more than 300,000 chemotherapy and radiotherapy procedures per year.
Transparency Evidence & methodology 81/100 reference value · 89% 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 value81/100
  • 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 specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • 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 evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • 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. Microsoft

    Oncoclinicas customer story

    First-party
    https://www.microsoft.com/en/customers/story/1800238731998879113-oncoclinicas-azure-ai-services-health-provider-en-brazil
    Source type
    Vendor-published customer story
    Published
    Aug 13, 2024
    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

Date evidence

  • Published on source page Aug 13, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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