Health solutions
Health data you can trace.
For hospitals and clinic networks in Uganda and East Africa. We show you where your key finance and operations numbers come from, where they disagree across branches, and what to fix first.
Illustrative example: revenue by branch traced to billing, pharmacy dispensing and the finance ledger, with trust ratings for three numbers.
Health systems
- EMR / HMIS
- Laboratory
- Billing & insurance
- Pharmacy dispensing
- Finance ledger
Traced to source
- Report
- Definition
- Calculation
- Data model
- Source system
Owner and trust rating for every number
Numbers you can trust
Revenue by branch
Claims rejection rate
Pharmacy stock variance
The challenge
Each branch reports in its own way, so head office cannot compare like with like. Monthly reports are assembled by hand from billing, pharmacy and finance exports, and when a number looks wrong, nobody can say where it came from.
Our approach
We start by tracing the numbers head office relies on most back to their source. What the trace reveals tells us what to fix first, so every branch ends up reporting the same way.
Who we work with
Hospitals, clinic networks, laboratories and pharmacies.
Healthcare providers
Helping healthcare organisations bring together data from different facilities, departments and systems.
We connect the systems you already use to provide a clearer, more reliable view of your operations, finances and resources — without replacing your existing software.
What we help you achieve
- Branch and facility performance: Compare performance across locations and service lines.
- Revenue and claims reconciliation: Bring together billing, payments and insurance claims.
- Pharmacy and inventory visibility: Track medicine stocks, consumption and supply chain performance.
- Reliable healthcare reporting: Reduce manual reporting and improve access to trusted operational data.
Start with trust
The Data Trust Assessment: three weeks, fixed fee
The Data Trust Assessment takes the numbers your leadership relies on most and traces each one from the report back to its source.
Lineage map
How each key number is produced, system by system
Trust scorecard
Each number rated trusted, with caveats, or not yet
Shared definitions
For the terms your branches use differently
Prioritised roadmap
Prioritised by impact and effort
What this means for AI
AI and advanced analytics work only when metrics are clearly defined, inputs can be traced to their source, data quality is known and access is controlled. The assessment gives each use case a plain verdict.
- Ready now
- Ready after specific fixes
- Not ready yet
Handled responsibly
- We begin with aggregated or de-identified data.
- Ownership, classification and access rules are agreed before any pipeline is built.
- We focus on operational and financial data, not clinical decision-making.
After the assessment
A practical roadmap to connect your systems, improve data reliability and make reporting easier.
Integrate and model
Bring your healthcare data together.
Connect billing, pharmacy, laboratory, patient management and finance systems into a central data warehouse. Establish consistent definitions for patients, visits, services, revenue and stock across your organisation.
Quality and governance
Build confidence in your data.
Introduce automated checks for accuracy, completeness and timeliness. Establish clear data ownership, access controls and consistent definitions so your teams can rely on the information they use.
Reporting and dashboards
Turn trusted data into useful insights.
Replace fragmented spreadsheets and manual reporting with reliable dashboards that give management visibility into facility performance, revenue, patient flow, resource utilisation and service delivery.
Get started
Build a health data foundation you can trust
Which numbers do you trust least? Tell us about the reports your branches and head office rely on. Then we make sure they are built on a trusted data foundation.