Spend less time
reconstructing the chart.
More time making the next decision.

Aquagen Healthcare's flagship product, PJViz, transforms fragmented clinical data into longitudinal patient journeys, cohort insights, and clinician-ready reports - integrating with any EHR via SMART on FHIR.

Pre-visit prep time
< 2 min
Down from 20+ minutes
SMART on FHIR enabled

Clinical data is everywhere - except where clinicians need it.

Six or more disconnected systems per health authority. No unified patient view. No cohort visibility.

6+

Disconnected Systems

EMR, lab, imaging, pharmacy, PRO, and specialty portals. Clinicians piece together the narrative manually every single visit.

20+

Minutes Per Visit Prep

Before every appointment, clinicians spend 20+ minutes manually reconstructing the patient story across tabs and paper charts.

~0%

Cohort Visibility

Care gaps, treatment variation, and outcome trends are invisible without longitudinal visualization across your patient population.

PJViz turns clinical data into visual patient journeys

No system replacement. Flexible integration. Approved structured data in, intuitive patient journey views out.

Individual Patient
Journey View

See the full clinical narrative, from diagnosis to latest encounter, in one pre-visit view reviewable in under 2 minutes.

Longitudinal timeline with clinical milestones
Lab trend charts: ESR, CRP, eGFR, A1c, and more
Medication escalation ladder with active/completed status
Care gap alerts with actionable decision prompts
PJViz patient journey individual view with timeline, labs, and medications

Population-Level
Cohort Intelligence

Dashboards reveal who's on track, where care falls behind, and which treatment pathways produce better outcomes across your entire program.

Swimmer plots & treatment timelines
Waterfall charts for treatment response tracking
Treatment pathway Sankey flow diagrams
Care gap frequency heatmaps and clustering
PJViz cohort intelligence view with swimmer plots, waterfall charts, and Sankey flows

Built for the people who move care forward

From bedside clinicians to program-level leaders and digital health teams.

🩺

Clinicians

"See the patient story before the visit."

The full clinical narrative - diagnosis, escalation, labs, and care gaps - in one pre-visit view reviewable in under 2 minutes.

📊

Program Leaders

"See variation and gaps across cohorts."

Dashboards reveal who's on track, where care falls behind, and which treatment pathways produce better outcomes.

🔧

Digital Health Teams

"Value from data, no system replacement."

Reads structured exports from EMR, PACS, LIS, and pharmacy. No integration, pipeline, or new data capture needed.

Built for local needs. Designed to scale globally.

Configure PJViz for different clinical programs, disease areas, workflows, and data environments. The platform is designed to support healthcare organizations across Canada and internationally while adapting to regional standards and governance requirements.

JIA · Peds Rheum
IBD · Crohn's / UC
Oncology · Systemic Tx
CKD · Renal / Dialysis
Diabetes · Endocrine

Built to work with existing healthcare systems

Connect through SMART on FHIR where supported, or use approved CSV and JSON data exports. PJViz is designed for secure deployment, de-identification, controlled access, and auditable clinical data handling.

1

Export Data

Pull structured clinical exports from your existing EMR, PACS, LIS, or pharmacy systems.

2

Validate & Load

PJViz validates data against clinical schemas, catching formatting issues before rendering.

3

Visualize

Patient journeys, cohort dashboards, and care gap alerts render instantly on localhost.

4

Act & Report

Generate clinician-ready pre-visit summaries and quality improvement reports.

Request a demo or start a conversation

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Request a Demo

See PJViz in action with a guided walkthrough using synthetic clinical data.

demo@aquagenhealthcare.ca

Product Inquiries

Questions about PJViz features, integration, or pricing.

pjviz@aquagenhealthcare.ca

Pilot Program

Start with one disease area, 25 patients, 4 weeks. Synthetic data, no live data access required.

Start a pilot →