MediAtlas · In development

Turn health data into actionable intelligence

An agentic AI platform in development for public hospitals and government health agencies, helping authorised users explore health information in plain language.

Illustrative interface with sample data. Not real health data.

Important information can be hard to bring together

Health organisations manage operational reports, programme records, facility information, and public health documents in separate systems.

Fragmented information

Different sources make it hard to build a consistent view of activity and context.

Service recordsReportsProgramme data

Specialist skills required

Teams often need technical support just to explore data and answer operational questions.

Data requestsSpecialist tools

Time to prepare reporting

Manual aggregation and summarising slow down planning and programme review.

AggregateSummariseFormat

See it in action

Three illustrative screens showing how the product could work. Sample data only.

SCREEN 01

Ask the data

Ask a question in plain language and get a clear answer with the figures, the trend, and the signals worth checking.

Natural-language explorationTrend analysisVerified sources
SCREEN 02

Signal radar

Spot unusual patterns in routine reporting and see the related context in one place, flagged for staff review.

Pattern detectionKnowledge integrationStaff review
SCREEN 03

Programme scorecard

Track targets across programmes and turn the results into a sourced briefing, with access controlled by role.

Programme monitoringBriefing draftsGoverned access

From approved sources to a reviewed summary

An illustrative workflow for operational and programme information, not clinical decision-making.

01

Connect sources

Bring approved datasets, reports, and knowledge collections into the platform.

02

Ask a question

Describe the health or operational question in plain language.

03

Retrieve information

Identify the right source material and data for the task.

04

Generate insights

AI helps summarise, compare, and run supported analysis.

05

Review and act

Authorised staff verify results before using them in planning.

Designed around privacy, context, and accountability

Health information is sensitive. Its use must respect institutional policies, data ownership, and the limits of the available evidence.

These are intended design principles, not claims of completed certification or deployment.
✓Privacy and confidentialityProtect sensitive information with appropriate security and access controls.
✓Data governanceRespect organisational policies, data ownership, and privacy requirements.
✓Source traceabilityHelp users verify the information behind generated insights.
✓Human accountabilityKeep health professionals responsible for consequential decisions.
✓Reliable analysisMake data limits and uncertainty clear to users.
✓Deployment flexibilityMatch hosting and inference options to each institution’s needs.

Information support for health institutions

Four places supported health information can be easier to use.

Hospital operations

Explore service activity, resource use, and performance indicators.

Public health intelligence

Explore reports, programme information, and population health indicators.

Programme monitoring

Review programme data and prepare summaries for monitoring and planning.

Health data analysis

Help non-specialists explore data and frame questions for analytics teams.

Public hospitals and networksGovernment health agenciesProgramme managersHealth information teamsPlanning and analytics departments
MediAtlas is not presented as a diagnostic tool. No clinical validation or live institutional deployment is claimed.

Questions about MediAtlas

What types of health information can MediAtlas explore?

The intended scope includes supported documents and structured datasets. Exact sources and formats will need to be agreed for each institution.

Can it work with reports and structured datasets?

That is a core design direction. Specific integrations and supported formats remain to be confirmed.

How will sensitive information be protected?

Any deployment should be designed around access control, data governance, security requirements, and institutional review.

Does MediAtlas make clinical decisions?

No. It is presented as a health-information exploration and analytical support concept, not an autonomous clinical decision system.

Can public institutions discuss a pilot?

Yes. Contact Oxagon to discuss the institution’s information needs, constraints, and possible next steps.

Build a clearer picture of health data

Tell Oxagon which information and workflows need to improve.

Enquire about MediAtlas