Every facility works differently
Each facility has its own forms, its own summary format and its own rules. There is no shared clinical language, and no way to compare facilities.
One clinical system for every facility, therapist, nursing team and manager. The AI transcribes and summarizes for your staff, and the patient's identity stays inside even when the text goes out for processing.
A live 30-minute demo, built around your facilities.
ClinicAI is a clinical management system for mental health organizations in Israel that run more than one facility. It brings patient files, sessions, medication and permissions into one place, transcribes and summarizes sessions held in Hebrew using AI, and keeps the patient's identity inside the system. The AI provider receives clinical text and a one-way token, with no name and no ID number.
One center you can keep in your head. Therapists, psychiatrists, nurses, counselors, groups. How do you manage all of it?
Each facility has its own forms, its own summary format and its own rules. There is no shared clinical language, and no way to compare facilities.
Session summaries in files on personal computers, shift handovers in group chats. Sensitive medical information sitting everywhere except a secure system.
Hours every week go to writing summaries instead of treatment, and staff turnover makes each of those hours more expensive.
How many sessions took place this month? Where is the load? Which patients are at risk? The answers arrive late, if at all.
Prescriptions, dose changes and safety alerts managed in spreadsheets. Every mistake here is an incident.
A database holding mental health information is classified as especially sensitive under Amendment 13 to Israel's Privacy Protection Law. The responsibility sits with management.
Mental health records are classified as especially sensitive. ClinicAI was built around that from day one.
When a transcript or summary is sent for AI processing, the patient's identity stays behind. Name, ID number, file number and internal identifier: none of them is included in the request. The AI receives the clinical text only, alongside a one-way token that cannot be turned back into an identity. The result is linked to the patient only after the response returns, inside the secure system.
On top of that, free text is automatically stripped of phone numbers, email addresses and ID numbers before it leaves. A second layer of protection, in case an identifying detail was typed into a summary by mistake.
Names, phone numbers and ID numbers are stored encrypted in the database. Direct access to the raw data does not expose them.
Separation between facilities is enforced in the data layer itself, not just on screen. A therapist in one facility cannot reach another facility's records, even if they try.
Therapists, nurses, administration and management see exactly what their role justifies. Access is set per module and per session type, and enforced in the data layer, not just on screen.
Who signed in, what was viewed and what was changed, all logged. An essential basis for incident investigation and audits.
The recording file is not uploaded to our storage. It becomes a transcript, the temporary copy is deleted, and the copy at the AI provider is explicitly deleted. There is no recording archive to leak from.
Sign-in with identity verification by text message or email. A stolen password alone is not enough to reach the records.
The platform is built to the principles of ISO 27001 for information security management. We are in the middle of the certification process.
The platform was designed knowing that a mental health database is classified as especially sensitive and requires a high security level under Israel's data security regulations. The security architecture, the data flow and the vendors involved are open to review by your information security officer and legal counsel before you sign.
The AI does not replace clinical judgment. It takes the grunt work off your staff and surfaces for management what is hard to see by hand. This is what an ordinary day looks like.
The incoming team gets a brief built from the previous shift's documentation, instead of reading everything or hearing a verbal version.
The intake form is the one you built. You set the fields, the field types, and which role may access this session type.
The recording becomes a full Hebrew transcript. The recording file itself is not kept on our side.
The summary is written to the structure of the session type and the fields you defined. The therapist edits, approves and saves, and remains clinically responsible.
The drug is chosen from Israel's registry of approved medicines. The change is recorded with who changed it and when, and the platform flags combinations that warrant a second look.
Signs of deterioration or setbacks in treatment are flagged for human attention. The decision stays with the team.
Load, activity volume and comparison between facilities are built from the day's own work, without anyone reporting by hand.
The session recording becomes a full Hebrew transcript. The recording file is not kept on our side.
The transcript becomes a structured summary based on the session type and the fields you defined, ready for the therapist to edit and approve. The therapist remains clinically responsible.
Spotting signs that warrant attention, such as deterioration, setbacks in treatment or recurring patterns, and flagging them before they become an incident.
Trends at the level of the patient, the therapist, the facility and the whole network. What works, where the load is and where intervention is needed.
A shift brief built from the documentation itself, so the incoming team gets the full picture without reading everything.
A brief built from the documentation itself: the patient's state and what has changed since you last met. Daily, or on demand.
No two centers work the same way, and even within one network each facility has its own language. ClinicAI adapts without development work and without waiting for the next version.
Intake, individual session, group, committee, doctor's visit, family meeting, shift report. You define the session types, the fields in each, the type of each field and who may see it.
The instructions the AI works by are yours. Summary length, structure, terminology, what must be included and what to leave out are set at the level of the network, the facility or the session type.
Medication is the hardest area to manage in a spreadsheet.
Choose a drug from the registry of medicines approved in Israel, including name, dose and route of administration, with no free typing and no spelling mistakes.
Active prescription, change history, and who changed what and when. The full medication picture lives in the patient's file.
The platform flags combinations and conditions that warrant a second look before they reach the patient.
Medication is read together with the course of treatment, so the link between a dose change and a change in condition is visible.
Most practice management systems were built for one therapist in one room, and start to break at the second facility. ClinicAI started from the other end.
Switch between a single facility and the whole network in one click. Every screen, table and report updates to match, with no second sign-in and no separate systems.
Every role, from therapists and nursing staff to administration, supervisors and management, has its own screens and permissions, on one shared database.
The clinical history moves with them. No new file to open and no break in continuity of care.
Load, activity volume, trends and comparison between facilities. The data is built from day-to-day work, with no manual reporting.
Appointment management for the whole network, including recurring series and booking on behalf of another therapist, synced with the organization's calendar and with automatic reminders for patients.
Set up an appointment and pick its room. Two people cannot take the same room at the same time, because the lock sits in the database rather than in an on-screen message. Cancelling frees the room at once, and the day view by room shows what is free.
A secure channel for sharing information, forms and documents with the patient, instead of files over WhatsApp.
Izun Nefesh is ClinicAI's first customer, and the network the platform was built on. This is what it looked like before, and how it works today.
The network ran on well-known treatment documentation software, a tool built for one therapist in one clinic. It did what it was meant to do, but a second facility no longer fit in it.
We imported the patients, therapists and session history, set up session types and fields to match how each facility actually works, and connected every role to the same database, with permissions that fit the role.
The psychiatrist writes a prescription or changes a dose, and the nurse sees it on the medication chart at once. Same record, same moment. The drug is chosen from Israel's registry of approved medicines, and the change is recorded with who changed it and when.
A daily brief, or one on demand before treatment: the patient's state and everything that has changed since you last met. Instead of opening five screens or asking who was on shift.
An appointment is booked together with its room. Two people cannot reserve the same room at the same time, and the question of who took room 2 at three o'clock is off the table. Cancelling frees the room at once.
Ask for the report in plain language and get it back built. No waiting for the IT person and no exporting to Excel to answer one question.
A mental health network does not move records to a new system without first answering to its information security officer and legal counsel. Identifying details are stored encrypted, separation between facilities is enforced in the data layer, and the patient's identity never leaves the system for the AI provider. In parallel, we are in the middle of the ISO 27001 certification process.
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