Today we are proud to launch the No.1 Medical Co-Pilot in the Middle East
not just a Transcriber but a real Ai powered assistant made for Drs.
We will be sharing more info on the upcoming days !
Our logs and internal tools are designed to leave out sensitive personal content.
Before a rollout, check what appears in the logs your team uses to investigate a problem. Include those tools in the access review, not just the main screen.
To clarify: our appointment agent contacts the patient to arrange the visit. The doctor's instruction starts that outreach. It does not confirm a booking.
Our agents will book your patient their next appointment just by listening you mentioning it to your patient in the consultation https://t.co/dx5nJaqsVb
@DubaiFuture We'd include failed actions in the review. If a booking system rejects an update, keep its response beside the agent's next words. Reviewers can then check whether the caller was told the booking had changed.
@BurjeelHoldings Our Medical Copilot keeps the transcript and draft together. The doctor can trace a section back to the conversation before approving it. We'd include that review step when judging how much work an AI tool saves.
@LEAPandInnovate For an AI rollout, name the person who can approve a change and put the old setup back. We leave those decisions with the team. The people handling customer calls need to know who that is before the rollout.
Our appointment agent and the doctor's Medical Copilot work from one patient profile. They don't get the same access.
The appointment agent has what it needs to book. Access to clinical details follows your clinic's roles and permissions.
@MediclinicME We'd add a "call me back" option with a choice of times. People could ask the team their questions when they can speak in private, then decide whether to book.
@CAAQATAR If the agent scores bids, we'd put the source passage beside each score. The reviewer can check why a bid lost points before approving the report, without having to hunt through every file.
A visit can switch between Arabic and English, and our Medical Copilot supports both.
To test it, have your own doctors read the notes. Check medicine instructions, timing, every "no" that must stay a "no", and that what the patient said stays apart from what the doctor found.
@BurjeelHoldings From the patient's side, connected care means not telling the same story twice. Our agents put the booking call and the WhatsApp chat in one patient profile. The doctor sees that profile during the visit.
@PureHealthae The easiest need to predict is the follow-up the doctor already asked for: "come back next week." Check if that line turns into a call to the patient or stays in the notes. We pass it to an appointment agent that contacts the patient by call or WhatsApp to agree a time.
When our AI agent needs a supervisor, it briefs them on a separate call while the customer waits. The first thing they hear should be the decision they have to make.
We wrote a short playbook for contact centre leaders on getting that handoff right.
https://t.co/DV771fm30n
@DubaiChambers If the entries are working agents, we'd give each three requests: a routine one, an unclear one, and one a person has to decide. That last request tells you the most. A good agent stops there and tells the right person what was asked and what it already tried.
@fastcompanyme We'd test the rescheduling first. Ask it to move an appointment, then open the clinic's calendar and look for the new slot. Our agents check that the booking changed before they confirm the new time. A "done" at 2am doesn't help if the slot never moved.