Galuso

Source-grounded clinical AI

Understand the patient across time.

Galuso is building AI-assisted tools to organise clinical information and explore patient history — with a source-linked Timeline prototype today and a planned experience embedded in the HIS.

Explore Galuso Talk to Galuso

Today: a working Timeline prototype.
Manual upload · Synthetic-document testing only

Galuso TimelineIllustration

One history, connected

A short hospital stay

3 documents
Discharge summaryPage 2

Discharge plan · 12 June 2026

Discharged home. Outpatient follow-up with the primary care physician is planned in one week.
Illustrative example using synthetic documents. Not the product interface. Select an event to see its source.

A patient’s story rarely lives
in one document.

01AI-assisted document processing
02Structured clinical events
03Sources available for review

The Galuso products

See the history.
Ask the next question.

Two complementary ways to work with the longitudinal patient record. The Timeline is our first working capability; broader Intelligence and Ask are next.

Timeline prototype

Galuso Intelligence

Understand what happened. See what needs a closer look.

AI-assisted patient understanding, organised over time and linked to the record.

Working todayTimeline

Turns uploaded documents into a chronological timeline of clinical events and structured summaries, supported by AI-assisted document processing. Events link to the source document, page and supporting excerpt where available.

Planned extensions

  • Patient contextA clearer overview of the documented patient history.
  • Changes over timePatterns and trends across the patient’s record.
  • Items for reviewInformation that may need attention, such as unresolved follow-up.
Planned

Galuso Ask

Your question. The record behind the answer.

A planned AI chat for exploring the patient’s documented history, with answers linked to supporting records.

Conversation concept · planned functionality
You

What was investigated during this admission, and what follow-up was documented?

Galuso Ask Illustrative response

  • Chest imaging was requested on admission.

    Progress note · Page 1

  • The chest X-ray reported a right lower-zone airspace opacity.

    Radiology report · Page 1

  • Primary care follow-up was planned in one week.

    Discharge summary · Page 2

Same synthetic example as the Timeline above. No live chat or generated response.

Designed to answer questions about the record, not provide treatment recommendations.

Current prototype scopeManual upload · Tested with synthetic documents only · Not clinically validated

The Timeline runs in a cloud development environment. It has not processed real patient data or been used in clinical care, and no hospital information system is connected. It represents the documents supplied, not a verified complete patient history.

AI-assisted outputs can be incomplete or incorrect. Source references support review; they do not establish clinical accuracy.

Document types used in development: International Patient Summary (IPS), discharge summaries, radiology reports, operative reports, allergy records, immunisation records, laboratory results, medication records and progress notes.

Integration

Clinical intelligence,
embedded in your HIS.

Galuso’s goal is to make the patient’s documented history easier to understand and explore — through AI-assisted intelligence and source-grounded chat, using clinical documents and structured records from the HIS.

Longer term, authorised national electronic health record (EHR) connections could bring information from other care settings into the same patient view — without leaving the HIS.

Planned integration approaches

Data exchange:
FHIR APIs, HL7 messaging and other REST APIs.
App launch & patient context:
SMART on FHIR, where supported.

Subject to supported interfaces and authorised access.

HIS integration is planned. Today’s prototype uses manual upload.

Planned integration
Hospital information system (HIS)The clinician’s existing workspace

Embedded Galuso workspace

Galuso Intelligence Longitudinal patient views
Galuso Ask Source-grounded AI chat

One patient context. Inside the HIS.

Longer-term integration National EHR Authorised records across care settings

About Galuso

From clinical systems
to clinical intelligence.

Galuso is an early-stage clinical AI project focused on making documented patient information easier to understand and review within hospital workflows.

Saudi Arabia is Galuso’s initial target market.

Founder

Portrait of Mootaas Abu Baker, founder of Galuso

Mootaas Abu Baker Founder & CEO

He brings several years of professional experience in medical informatics, clinical workflows, HIS integration and national EHR architecture. His university education and all prior professional roles were in Switzerland.

BSc in Medical Informatics
Bern University of Applied Sciences

View LinkedIn profile
  • 01
    Hospital information system integration

    Project leadership across technical and healthcare stakeholders.

  • 02
    National EHR systems architecture

    Systems architecture for a platform within the national electronic health record ecosystem.

  • 03
    Clinical information workflows

    Practical experience across university hospitals, rehabilitation and radiology research.

Let’s start a conversation

Where could Galuso
fit in your workflow?

Building a hospital information system or working with clinical documentation? Let’s discuss your workflow and where Galuso could fit.

Email Galuso

Please do not send patient records or sensitive health information by email.