Built for NHS care homes and GP practices
One shared task board between care homes and GPs. AI drafts, clinicians decide, and EMIS stays the record.
1 · Care home
Care-home staff raise a structured request with observations. No NHS login, and a clear 999 warning up front.
New review request
The main event
One shared board for every request from every home. Care homes raise, GPs triage, and everyone sees the same status until the outcome is confirmed.
Pending review
2
Pre-round priority
2
Escalated
1
Awaiting confirmation
1
| Resident | Priority | Status | Care home | Category | Submitted by | Age |
|---|---|---|---|---|---|---|
| Synthetic AlphaEscalated 1× | Pre-round Priority | Pending Review | Synthetic House | Mobility / Falls Follow-up | Nurse A | 1h 12m |
| Synthetic Bravo | Pre-round Priority | Pending Review | Example Lodge | Weight / Nutrition Concern | Nurse B | 3h 20m |
| Synthetic Charlie | Semi-urgent | Triaged | Synthetic House | Routine Medication Review | Nurse A | 5h 05m |
| Synthetic Delta | Semi-urgent | Added to Round | Example Lodge | Chronic Disease Monitoring | Nurse B | 1d 2h |
| Synthetic Echo⏳ Awaiting receipt confirmation | Routine | Resolved | Synthetic House | Skin Integrity & Pressure Care | Nurse A | 2d 4h |
| Synthetic Foxtrot | Routine | Resolved | Sample Court | General Non-Urgent GP Review | Nurse C | 3d 1h |
Human in the loop
Our Human in the Loop protocol means AI is never in charge of a clinical decision. It prepares drafts and flags risks; a qualified clinician reviews every output and takes responsibility for what goes into the record.
Step 1
Prepares a draft from the source documents, always labelled "DRAFT — AI GENERATED — Requires clinician review".
Step 2
Step 3 · Human
Step 4 · Human
Step 5
Privacy by design
Names, NHS numbers, dates of birth, phone numbers, emails and postcodes are swapped for anonymous tokens on our server. The AI works on tokens; real details come back only for the clinician.
1 · What staff enter
Patient details go in.
Patient: Synthetic AlphaDOB: 01/02/1940Reduced fluid intake for 2 days
Tokenisation is an automatic safeguard that finds identifiers by pattern, and names are caught where they follow a label such as "Patient:". It does not replace good practice: keep identifiers out of free text where you can. A clinician reviews every AI draft.
Trust
Compliant by design: documented lawful basis, data minimisation, tokenised AI prompts and a tamper-evident audit trail.
Compliant · DPIA availableManufacturer clinical risk management file and hazard log.
In progress · sign-off pendingDeployment evidence pack to support your own Clinical Safety Officer's assessment.
Evidence pack readyDigital Technology Assessment Criteria evidence mapped to the live product.
Draft evidence packData Security and Protection Toolkit evidence for the 10 data security standards.
Draft evidence packUK GDPR compliance is our own declaration; DCB0129, DCB0160, DTAC and DSPT are the standards we build to, not certifications. Contact us for the evidence packs and we will walk your Clinical Safety Officer and DPO through them.
How it helps
Features
The shared board for every request from every home, with priority, status, wait time and escalation in one view.
Care-home staff submit structured requests with observations. GPs see them risk-sorted, with the next step clear.
AI drafts consult notes, referrals and letter summaries. A clinician reviews, edits and copies the approved text into EMIS.
Build the round from what is overdue and what is urgent, work through it, and hand over to the MDT.
See each home's reviews, medication reviews and care-plan cadence at a glance, with the next action named.
Urgent requests are flagged, unanswered ones escalate, and care homes can see when an outcome has been sent.
Drafts are cross-referenced against source documents and red flags are raised before anyone relies on them.
Screenshots
All screens below use synthetic data.
Contact us
Tell us about your practice or care home and we will arrange a walkthrough, or answer any questions.