Meet us at World Aviation Festival 2026, Lisbon, 13 to 15 October. See the demos

Industries Healthcare

Healthcare

From fragmented records to the patients who need you this month.

We bring GP, community and hospital data into one platform, rebuild the registers that matter, and turn them into worklists teams can act on.

A long hospital corridor
The industry

Where the data lives.

Health and care organisations hold rich data, spread across clinical systems that were never designed to talk to each other.

Who we work with Integrated care boards, primary care networks, trusts and population health teams.

The data challenge

Where data gets in the way.

Data sits in many systems.

GP, community and hospital records each hold part of the picture.

A register is dozens of measures.

Each needs codes, rules and a history that survives patients moving practice.

Insight arrives too late.

Monthly packs describe last quarter rather than who needs a review now.

Migrations put history at risk.

Moving platforms can quietly break years of trend data.

How Jambo Labs helps

What we build.

01

One platform for health data

Clinical and operational feeds consolidated into a single source of truth.

Snowflake · migration · data modelling

02

Registers with their history

Disease registers with 40 to 50 measures each, rebuilt and kept current.

population health analytics

03

Worklists, not just dashboards

The patients who need something this month, sent to the practice with the reason.

risk stratification · automation

Interactive demo

From overnight feeds to the board paper, in 90 seconds.

Five feeds, one register rebuilt from every event, 40 measures by practice, and the patients who need something this month, each with the reason.

A contained demo on invented data. Nothing you do here leaves the page.

Techniques in this demoData integrationStep 1, Feeds: GP, community, hospital and deaths data joined each night.Longitudinal data modellingStep 2, History: the register rebuilt from every event, not yearly snapshots.Population health analyticsStep 3, Measures: 40 measures by practice, split five ways.Risk stratificationStep 4, Who needs you: patients ordered by risk, with the reasons.Natural language generationStep 6, The board: the paper drafted from the numbers only.
Also possible

Where the same data goes next.

  • Demand forecasting for services, such as winter admissions by neighbourhood.
  • The same pipeline carrying asthma, diabetes, heart failure and frailty registers.
In practice

What our team has done before.

Work our team has delivered across their careers. Clients are anonymised.

Data platforms & engineering
3M+ patients, one platform

A Snowflake data platform for an NHS integrated care board: 25+ clinical and operational dashboards, consolidating fragmented data into a single source of truth.

Analytics & data science
Patient-level registers

Population health analytics built from granular patient events, with registers rebuilt across years of history.

Where to start

Start with one register. We rebuild it from your data, check it against what you report today, and show the patients it finds.

The two-week diagnostic
Start a conversation

Tell us the report your team rebuilds every month.

No pitch. We will show you what your own records could already do.

Talk through your use case

Photo: Hospital corridor, W.carter, CC0.