Healthcare Reporting & Analytics

Reporting and data platforms healthcare leaders trust

We build reporting, analytics, and healthcare data platforms that hold up in production. That means strong models, governed definitions, and an architecture that survives upgrades, vendor change, and operational reality.

Executive summary

  • Tools don’t fail as often as the model, governance, and ownership do.
  • Dashboards must be upgrade-safe, auditable, and consistent across clinical, operational, and finance views.
  • Modern platforms like Databricks and Snowflake can accelerate analytics, but only when the semantic layer is owned.
  • InterSystems IRIS can act as a pragmatic healthcare data fabric when you need to connect operational systems with governed data products.

Why healthcare reporting so often fails

Most reporting programmes don’t fail because Power BI, Logi, or a warehouse product is “bad”. They fail because the organisation never agreed who owns the meaning of the numbers, and the reporting stack was built without an architectural boundary.

No semantic layer

KPIs change meaning by team, report, or vendor. Leaders stop trusting outputs.

Upgrade fragility

Dashboards break after PAS/EMR upgrades because queries hit unstable tables.

Unsafe extraction

Direct queries impact clinical systems, creating performance and safety risk.

Ownership gaps

No one owns the model, the pipeline, and the change process after go-live.

What we deliver

A robust reporting capability is a system, not a dashboard. We typically deliver across these layers:

Power BI and executive dashboards

Trusted KPIs, performance tuning, and upgrade-safe models designed for executive and clinical decision-making.

Logi Reports and operational reporting

Stable, repeatable operational reporting with clear definitions that remain reliable as systems evolve.

Databricks lakehouse analytics

Modern pipelines for large-scale analytics, machine learning readiness, and governed data products.

Snowflake cloud data platform

Secure, scalable warehousing for multi-domain reporting with strong access control and auditability.

InterSystems IRIS as a healthcare data fabric

When you need operational data, governed APIs, and integration-grade reliability, IRIS can sit between clinical systems and analytics platforms as a practical fabric.

The JTX reporting architecture model

We design for longevity: clarity, performance, and ownership beyond go-live.

1) Safe data access

Performance-aware extraction patterns that protect clinical systems and reduce upgrade risk.

2) Data modelling and semantic layer

Stable models, reusable definitions, and KPI governance so leadership trusts the numbers.

3) Pipelines and platform

Right-sized platform choices (IRIS, Snowflake, Databricks) with clear boundaries and security controls.

4) Operational ownership

Change management, versioning, and run-books so reporting survives staff turnover and vendor change.

Next step: a 20-minute reporting fit check

Talk directly with a senior consultant. We’ll confirm whether we can help, outline the fastest path forward, and be clear if we’re not the right fit.

Book a fit check