All our work
PERSONAL HEALTH RECORDS
Product prototype

Medilog

Make your lab-result history
easier to follow.

Medilog helps users turn lab-report images into organized measurement histories. AI-assisted extraction identifies measurements and dates, users review and correct the results, and charts bring repeated measurements together over time.

OWNED PRODUCTBuilt by activ.devFOCUSpersonal health recordsEXPLOREInteractive workflow example
MedilogILLUSTRATIVE DATA
YOUR MEASUREMENT HISTORY

The timeline comes into focus.

5 reviewed entries
View example values
Measurement A — arbitrary illustration units
MonthValue
Jan12
Mar14
May13
Jul15
Sep14
Reviewed before savingThe user checks extracted values and dates.

Invented measurements for illustration. No clinical meaning.

A simplified workflow illustration with synthetic data. These examples are not connected to the product or a live service.

THE CHALLENGE

A useful problem
to solve.

Lab results often arrive as separate reports, with different labels and dates. That makes it difficult to bring repeated measurements together into a readable personal history.

How we approached it

We connected document-image extraction to an editable review step, Greek and English measurement normalization, and dated records. Users confirm the extracted values before saving, then follow individual measurements through time.

WHAT’S IN THE PRODUCT

The work behind the interface.

From images to editable data

Extract text from report images, identify measurements and dates, and review or correct the results before saving.

Greek and English records

Normalize different measurement labels using a shared dictionary with Greek and English names.

A readable timeline

Save dated measurement records, edit or delete entries, and explore charts for measurements with multiple data points.

THE CONNECTED WORKFLOW

Follow the idea through.

01

Upload a report image

Start with an image of a lab report.

WHAT THIS COULD MEAN FOR YOU

Different product.
Relevant experience.

Medilog demonstrates document processing, multilingual data normalization, user-reviewed AI output, and a focused personal-data interface. These are useful building blocks for custom document and healthcare software.

Need to turn documents into useful information?

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