Glance
From the caseload: who you are seeing, when you last met, and whether anything has come in since.
For clinicians
Your caseload, and the four questions you have before every session: who am I seeing, what has happened since I last saw them, what should I remember from last time, and is there anything they want to bring into this hour. Healing Space answers those from what the patient chose to share, and deliberately stops there.
Read as much as you need and no more — but never be asked to trust a summary you cannot open.
From the caseload: who you are seeing, when you last met, and whether anything has come in since.
The interval since the last confirmed session — what the patient shared, the agenda they wrote, what you agreed last time and, where the patient shares them, mood, sleep and questionnaire movement.
Each line is backed by the entry behind it, and the original entry — whole, dated, attributed — is one step further. No item exists only as a summary of itself.
"Since we last spoke" should mean something specific.
Not an arbitrary last-thirty-entries window. You confirm whether a session went ahead from the same screen, so the interval the record is organised around stays true.
The continuity surfaces are counts, dates and comparisons over recorded entries, each carrying its date and the person who recorded it — computed, not composed.
What a patient shared, how often, and how a measure moved between two dates — across the whole course of work. If the record does not contain it, you get nothing back rather than a guess.
The boundary is not an inconvenience to work around. A patient who cannot keep something private stops writing anything down.
You see the briefing the patient approves, from two hours before the session, and your own records: your notes, the summaries you issue and the patient's response to them. Nothing else the patient writes reaches you.
Access runs through one authorisation policy across every patient route: your assigned patients and nobody else’s. Sensitive clinician views, such as Session Prep, are logged, and developers hold no standing access to clinical data.
You do not see what the patient says to Healing Space, what it remembers for them, or what they have said they want help with. Raw conversation is not a clinician feed, and nothing the patient says or does notifies you.
Preparation is half of continuity. The other half is what you carry out of the room.
Confirm it went ahead, keep your note, and — if you choose — write a short summary for the patient and what the two of you agreed.
The patient sees what you shared with them as you wrote it, marked as yours. Their conversation can refer back to it, and it is never presented as something the software concluded.
The next Session Prep begins from that session, so "since we last met" keeps meaning something specific.
Specific rather than reassuring — you should be able to tell a patient exactly what happens.
A patient can type to Healing Space between sessions; that text is processed by our AI provider (currently Groq-hosted infrastructure, named in the privacy policy, and due to be compared with alternatives before any pilot). Model training on patient conversations is disabled. The conversation stays on the patient’s side of the platform.
Where conversation identifies something the patient clearly stated — a mood rating, hours slept, an item for the next session — it is validated deterministically against the patient’s own words and written only after the patient confirms it. A model does not get authority over structured clinical data.
The conversation may offer a patient one of five self-help supports, from a list the application controls, and holds back far more often than it offers. Session Prep and the longitudinal surfaces are retrieval and comparison over recorded entries, not model output. No automated decision is made about anyone’s care.
The platform informs your judgement. It never substitutes for it, and it does not quietly take on work you are accountable for.
Healing Space is not a monitoring service and raises no alerts: nothing a patient says, answers or does notifies you. If someone talks about being in danger, the AI points them to real-world help such as 999, Samaritans or someone they trust. Safety remains with you and your service, as it does today; the Trust Centre has the detail.
No causal inference, no judgement about whether therapy is working, and no matching of separate experiences into one recurring issue. Those are clinical judgements.
This is a lightweight layer around existing clinical work, not a practice-management system and not somewhere your service is expected to move its whole operation.
Where the clinician side is heading. Labelled planned because it is.
Tools to make documenting a session lighter work, with your professional notes remaining yours and under your control.
Only as an option, only with explicit agreement from both you and the patient, and only once governance allows it.
Goals agreed in therapy carried into Session Prep with their history kept attributable, and talking instead of typing for patients once voice is authorised for production.
We think preserving therapeutic context is worth doing. We have not shown that it makes therapy work better.
There is no published evidence for this platform, no independent clinical validation, and no NHS approval. Nothing on this site should be read as claiming any of them.
We are demonstrating Healing Space — with synthetic data only — to clinicians and to people who evaluate health technology, and seeking evaluation partners. Those are working conversations, not endorsements, and we name nobody for credibility.
If you think the premise is wrong, or that a part of it would get in your way, that is genuinely more useful to us than polite interest.
The same intervention, described for the people who use it differently.
Thirty minutes, with the founder, no sales team in the room. Bring your scepticism: professional feedback, a challenge to the approach, or a conversation about evaluating it in your service are all useful outcomes.