Most of what slows a Trust down is not the tool — it is the project around it. This page is about the project: what we need, what we do with it, who has to be involved, and what happens to your data.
No integration, no software for your IT team to deploy, nothing running inside your network. You send an extract; the rest is on us until you are looking at your own department.
Anonymised A&E activity from the systems you already run. A standard report, not a bespoke build.
We align your data to our model and set it against the Internal Professional Standards your Trust already uses. Designed by a clinical operations specialist working with a data scientist.
Your relevant standard operating procedures and board papers, so what you see references your own governance rather than generic guidance.
Access by role. Most people need to read, not configure — so most people get a view they cannot break.
A&E is not one audience. The same picture answers a different question depending on where you sit — and today those three layers are usually reading from three different versions of events.
The pathway as recorded, against the Trust's own standards, without waiting on anyone to build a report first.
What was logged, who acted and what they recorded doing — held as a record rather than in the memory of whoever was on that night.
The operational record and the pathway on one timeline, so a pattern is visible while it still matters.
One export, then the people asking can interrogate it themselves — taking recurring requests off your list rather than adding to it.
Anonymised data only, a documented position, and the organisational certifications already in place. The section below is written for you.
Nothing to deploy, nothing to integrate, and no dependency on frontline staff adopting a second system before it returns anything useful.
An append-only record of what was logged and what was decided — each action carrying a named person, a timestamp and a reason that could not be skipped.
Where elapsed time sits against the Trust's own targets, and what the department already tried — evidence for the decision rather than a case built after it.
One account drawn from the Trust's own records, so the ward view and the board view are reading from the same evidence.
Written for the person who has to sign this off, rather than the person who wants to use it.
The required extract carries no demographics, no clinical category and no free text — the smallest information-governance surface the product will ever ask for.
We hold journeys keyed to an encounter, with no identifiers and no key back to one. Not a policy we apply — something the product is unable to do.
A hard floor on small-cohort reporting, enforced in the database rather than by policy. Your Trust can raise it, never lower it.
Configured per deployment, for Trusts with data sovereignty requirements. We will tell your IG team exactly where it sits.
The product describes timeliness of access. It does not evaluate a clinical decision, or the clinician who made it. That boundary is built in.
Where a day's events all carry the same timestamp, the data cannot support interval analysis. We flag it rather than quietly reporting on it.
Cyber Essentials and Cyber Essentials Plus, assessed by Cyber Tec Security under the IASME scheme and verifiable above. Both certify Logan Tod as an organisation — our devices, accounts, cloud services and how we handle data entrusted to us. Neither is an assessment of the software itself; product and platform assurance is covered separately and we will walk your information governance team through both.
Our systems align with the National Data Guardian's 10 Data Security Standards, and we maintain an up-to-date NHS Data Security and Protection Toolkit (DSPT) submission. ↗ Check our DSPT registration
Thirty minutes on a synthetic A&E dataset, with the person who designed the method. Not a sales call with a demo environment.
Thirty minutes on a synthetic A&E dataset, with the person who designed the method. Bring the hardest question you have about your own department.
We are showing NHS trusts how A&E data behaves under the model. Sessions run weekly.