SINTIS

AI in healthcare

Clinical knowledge. Technical delivery.

From a clinical need to an AI application: we define the data flow, points for professional review and connections with existing systems.

AI IN HEALTHCARE

Connected systems.
Data with context.

Follow information through systems, validation and professional review. Select a source or step to explore its role.

Illustrative integration scenario

Data sources

Data flowCorrection or clarificationSelect a point to explore its role.
Mapping

Connects source fields with the agreed record format for the next system.

Laboratory · Formats

Input
An HL7 v2 message
What we align
Mapping fields and units
Output
An agreed JSON record

We define the available interfaces, data scope and access rules for each organisation.

Collaboration

How collaboration begins.

For healthcare organisations

With clinical and IT teams, we select one working step, the required sources and a person to evaluate the result. Initial testing uses synthetic or appropriately prepared samples and a separate test environment.

For software companies

We help define the user scenario, AI workflow, source review and points for professional confirmation. The aim is to fit a new feature into the screen and workflow the user already knows.

How we evaluate a pilot

A useful suggestion must be verifiable.

  1. 01

    Define the intended use

    The exact task, intended user and what the output may trigger in the workflow.

  2. 02

    Prepare examples

    Typical documents, conflicting data and cases with missing information.

  3. 03

    Review errors

    Professional review of sources and results, followed by a decision on what needs correcting before further use.

Our own projects

Experience from our own healthcare projects.

Zdravko is a live AI platform, Spona a development beta for data exchange, and DTS Assistant a document-processing concept we are developing.

Available online

Zdravko.ai

An AI platform for patients and physicians: conversation, search and specialist sources.

Development beta

Spona

A Windows tool for visual mapping, validation and transformation of HL7 and JSON data.

Concept development

DTS Assistant

Planned coding suggestions with source highlights and professional review.

Let’s connect

Which healthcare workflow would you like to explore?

Describe the working step and systems you use. Patient data is not needed for the first conversation.

Let’s talk