UNITED STATES · TRINIDAD & TOBAGO · CARIBBEANinfo@aeoninnovativesolutions.comWebmail

PAN ANALYTICS · Healthcare intelligence

Connected data.
A clearer picture.

Bring clinical activity, patient access, workflow, and recorded billing into one connected view. PAN Analytics turns scheduled exports from PAN Enterprise into practical dashboards for your team.

Public examples use synthetic data. Subscription data access is arranged separately.

6 focused dashboardsMultiple source systemsScheduled, validated updatesElasticsearch · Logstash · Kibana

The dashboard collection

From daily activity to the bigger picture.

Six complementary views help teams ask better questions about demand, access, service delivery, and the data behind each result.

01 / PAN Overview

See activity across the organization.

Compare activity over time, service mix, and source-specific patient and encounter counts.

02 / Services & Referrals

Understand demand and referral patterns.

Explore examination and visit types, recorded referring doctors and facilities, and weekday activity.

03 / Patient Access

Understand the communities you serve.

Review age bands, cities, aggregate geographic patterns, and available travel-distance information.

04 / Workflow & Turnaround

Find where time is spent.

Follow recorded milestones and visit status. Compare median and 90th-percentile turnaround where timestamps are available.

05 / Recorded Billing (TTD)

Put recorded billing in context.

Review invoice-value distributions, recorded balances, overdue days, and billing-data coverage in Trinidad and Tobago dollars.

06 / Data Quality & Freshness

Know how current the picture is.

Check source export age, pipeline status, exported-versus-indexed counts, missing fields, and historical coverage.

The examples below illustrate what you can explore. Available views depend on your data and subscription scope.

PAN Analytics subscriptions

Insight beyond the clinic.

Researchers, analysts, students, and other non-clinical users can sign up for a PAN Analytics subscription to access anonymized data for data analytics. You do not need to operate a clinic or use another PAN module.

Explore anonymized data.

Use the datasets included in your subscription to study trends, compare patterns, and develop analytical skills. Subscription access covers the agreed anonymized datasets; identifiable clinical records are not included.

Start with your intended use.

Tell us your area of interest and the analysis you want to perform. AIS will confirm dataset availability, scope, pricing, and access terms before activating your subscription.

Sign up for a PAN Analytics subscription.

Submit your details and AIS Information will help you choose the right access.

Request a subscription

The data pipeline

A verified path from source to insight.

Scheduled source exports feed an ELK-based reporting workflow. Validation and record matching help keep repeat imports consistent, while source freshness remains visible.

01

Scheduled exports

Configured PAN source systems export data on a schedule.

02

Validation & preparation

Check the expected schema, normalize fields, and assign stable record keys.

03

Verified indexing

Publish a source snapshot only after export and index counts match.

04

Connected dashboards

Explore the verified data in Kibana, with freshness and quality visible alongside it.

Know when the data changed.

Source export age, pipeline status, and exported-versus-indexed counts help distinguish a quiet day from an overdue feed. Updates follow the configured export schedule.

Keep the meaning with the metric.

Activity rows are not always unique visits. Missing timestamps are not zero-duration visits. Recorded invoice values are not cash receipts or revenue; use accounting reports for those totals.

Connected to the PAN family

Start with your reporting priorities.

Bring together available examination and clinical-visit exports from configured PAN Enterprise systems. We map the source fields, agree reporting definitions, and confirm dashboard access and refresh schedules during implementation.

Make your data useful to your team.

Tell us which locations, workflows, and decisions you need to understand.

Talk to AIS