Healthcare & clinical opsLongitudinal document intelligenceCustomer anonymous

Turn multi-format lab PDFs, clinical scans, and intake records into longitudinal datasets

Eliminate manual re-typing of lab reports, diagnostic scans, and body-composition PDFs while preserving the original document beside every extracted value for clinician review.

Request a workflow review Explore 6 workflows

beside every lab value: Source retained
unit-normalized trends: Longitudinal
before record release: Clinician sign-off

Concrete workflows

Six recurring jobs we automate in healthcare & clinical ops.

Each workflow connects directly to your existing documents and systems, produces a structured output, and stops at a human reviewer before external release.

Lab intake

Multi-lab PDF & image biomarker extraction

Extracts biomarker names, numeric values, units, and lab reference ranges from PDFs or photos
Maps varied lab nomenclature to a canonical clinical ontology automatically
Displays the original document snippet beside each extracted value for 1-click verification

Reviewable outputs

Normalized lab recordSide-by-side audit view

Reviewed byAuthorized clinician

Longitudinal tracking

Cross-visit trend & body-composition alignment

Aligns blood panels, DEXA / body-composition scans, and vitals across patient visits
Converts differing measurement units so multi-year trends plot accurately
Highlights out-of-range shifts since the patient's previous panel

Reviewable outputs

Longitudinal trend chartOut-of-range delta list

Reviewed byCare team lead

Care operations

Pre-consultation clinician briefing

Summarizes newly uploaded external records, current medications, and intake questionnaires
Flags missing panels that were ordered at the prior visit but not yet received
Prepares a structured pre-visit chart summary without making autonomous diagnostic claims

Reviewable outputs

Pre-visit chart briefMissing-order alert

Reviewed byAttending physician

Quality & privacy

PII boundary & redaction controls

Enforces strict tenant isolation and role-based access across patient documents
Strips or masks patient identifiers when routing records for secondary analytics
Logs every document view, extraction edit, and clinician sign-off event

Reviewable outputs

De-identified datasetAccess audit log

Reviewed byPrivacy & compliance officer

Patient intake

Structured intake & missing-record follow-up

Checks uploaded onboarding packets for required consent forms and historical labs
Identifies unreadable page scans or cut-off date headers immediately upon upload
Prompts the care coordinator or patient to supply only the missing pages

Reviewable outputs

Intake completeness checkRescan request list

Reviewed byCare coordinator

Protocol library

Internal clinical guideline & SOP lookup

Indexes internal care protocols, lab ordering panels, and operational SOPs
Lets care coordinators and nurses verify prep instructions and panel codes in seconds
Ensures staff always reference the latest approved protocol version

Reviewable outputs

Cited SOP answerPanel prep checklist

Reviewed byMedical director

Anonymized deployment story

A healthcare operations team processing recurring laboratory and body-composition documents from multiple external labs.

Source retained

for every biomarker

Auto-normalized

units & reference ranges

Clinician review

mandatory before release

From manual bottleneck to controlled workflow

Converting heterogeneous lab PDFs and smartphone photos into normalized longitudinal patient records

The operating challenge

Biomarker results arrived from dozens of labs with different layouts, naming conventions, units, and reference ranges, forcing staff to re-type values manually before clinicians could review trends.

What we deployed

Built a controlled intake pipeline that extracts test names, values, units, and reference ranges, normalizes them into longitudinal series, and displays the cropped source PDF beside every value for clinician approval.

A similar workflow in practice

Case study · Healthcare operations

Turn clinical lab PDFs and images into reviewable patient records

A document-processing workflow that turns uploaded PDFs and images into structured lab and body-composition records with trends and review controls.

Read the full case study

Cross-industry playbooks

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Private equity & funds

Bring us one recurring job in healthcare & clinical ops.

Request a workflow review

Turn multi-format lab PDFs, clinical scans, and intake records into longitudinal datasets

Six recurring jobs we automate in healthcare & clinical ops.

Multi-lab PDF & image biomarker extraction

Cross-visit trend & body-composition alignment

Pre-consultation clinician briefing

PII boundary & redaction controls

Structured intake & missing-record follow-up

Internal clinical guideline & SOP lookup

Converting heterogeneous lab PDFs and smartphone photos into normalized longitudinal patient records

Turn clinical lab PDFs and images into reviewable patient records

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