2014-02-10
Critical CBC values reported
Abnormal hemoglobin and hematocrit values were communicated for review.
Communication
Critical
Clinical timeline extraction for medical PDFs
Turn medical PDFs into verified clinical timelines.
Galusotech extracts patient context, dated events, severity labels, and source excerpts from dense medical documents so reviewers can understand the case faster.
Built for review support, not diagnosis. Every extracted event is intended to be checked against the source document by a human reviewer.
Discharge report.pdf
Source document
Highlighted source excerpt
Relevant clinical finding
Clinical timeline
Patient context and source-backed events
Patient
Unknown
DOB
1941-01-01
ID
987654321
Age / sex
73 / M
2014-02-11
CT impression reviewed
Imaging impression identified a clinically significant finding.
Imaging
High
A review workspace shaped around the timeline.
The product focuses on the practical review task: identify what happened, when it happened, how important it is, and where the evidence appears in the source PDF.
Medical timeline preview
Example output from a source-backed PDF review workflow
Patient summary
Extracted case context for orientation before timeline review.
Patient
Unknown
Date of birth
1941-01-01
Patient ID
987654321
Age / sex
73 / M
Reviewers should verify extracted patient details and event excerpts against the original PDF before use.
Timeline events
Dated events stay connected to source text for verification.
Critical CBC values reported
Abnormal hemoglobin and hematocrit values were communicated for review.
Communication
Critical
Verified
"Hgb of 6.5 and Hct of 19.5 reported..."
CT impression reviewed
Imaging impression identified a clinically significant finding.
Imaging
High
Verified
"Impression: focal opacity in the right lower lobe..."
Follow-up plan documented
Plan and recommendations were extracted without assigning an unsupported date.
Treatment
Medium
Verified
"Follow up with primary care after discharge..."
Simple workflow, source-backed output.
Galusotech keeps the first workflow focused: upload a medical PDF, extract timeline events, then review them against the source.
1
Upload a medical PDF
Start with a report, discharge summary, case file, or other medical document that needs structured review.
2
Extract clinical events
The app identifies patient context, dates, titles, event types, importance, and relevant source excerpts.
3
Review the timeline
Review events in chronological order and verify the output against the original document before using it.
Built for document-heavy review.
The current product direction is intentionally focused on medical timeline extraction and human review support.
✓
Medical case review
Turn long source documents into a compact event sequence for faster orientation.
✓
Clinical document triage
Identify dates, findings, procedures, diagnoses, treatments, and communication events.
✓
Source-backed verification
Keep extracted events connected to supporting excerpts from the original PDF.
✓
Early research and review workflows
Support human reviewers who need a clearer timeline before deeper manual analysis.
Human review required
Galusotech is built for document review support, not medical decision-making. Outputs should be treated as extracted review material and verified against the source PDF.
Review complex medical PDFs with a clearer timeline.
Open the app to test the current workflow, or contact Galusotech to discuss early access and product feedback.