Healthcare — AI, data & automation
Clinical notetaking, tele-consult analysis and report assistance can reduce the work around a consultation.
A practical delivery view
Clinical documentation
Notes adapted to medical terminology and report summarisation can support the clinical workflow.
- Clinical notetaker
- Tele-consult analysis
- Report analysis
Patient-facing processes
Triage and insurance assistance are possible applications. Medical decisions still require qualified clinician review.
- Patient triage support
- Insurance assistance
- Prescription assistance with clinician review
Review before deployment
Patient information, accuracy and intended use must be scoped for the project. An assistant is not a replacement for clinical judgement.
- Privacy and access boundaries
- Clinician evaluation
- Human oversight
The pressure on clinical and admin teams
Much of a clinician’s day goes on work around the consultation: writing notes, reading reports, answering messages and dealing with insurance paperwork. For hospital chains, that is time taken from patients. For EHR product owners, customers now ask for AI inside the product, and building it in-house competes with the core roadmap. Both groups need tools that fit the existing system and keep patient information within agreed privacy and compliance requirements.
- Documentation load on clinicians
- Reports and messages to review
- Insurance paperwork
- EHR customers asking for AI features
What we have built for healthcare
We have built healthcare AI for EHR product owners and independent hospital chains. The modules cover patient triage, tele-consultation analysis and message recommendation, a staff notetaker tuned to each client’s medical terminology, prescription recommendation that follows each doctor’s prescribing style, a report analyser and an insurance assistant. Each module is plug-and-play, customised per client and added inside the system people already use. Clinical decisions stay with qualified clinicians.
- Patient triage and tele-consultation analysis
- Staff notetaker tuned to your terminology
- Prescription recommendation in each doctor’s style
- Report analyser and insurance assistant
Start with one module
You do not need to adopt everything at once. Pick the module that would remove the most routine work, such as the notetaker or the report analyser, and review it with your clinicians on your own terminology and cases. A short call covers your current system, the users and the privacy boundaries. Hospital groups that are still deciding where AI fits can begin with the free AI readiness report.
- One module, one team
- Clinician review on your own cases
- Short call or free readiness report
Questions that come up
Does the AI make clinical decisions?
No. The modules draft, summarise and recommend. Clinical decisions stay with qualified clinicians, who review and approve what the system suggests. Each deployment defines where a clinician must check the output before it reaches a patient or a record.
Will it work with the EHR we already use?
The modules are made to be added inside the system your staff already use, and they are customised per client. Whether a specific EHR can take them depends on its integration options, which we review with you before any commitment.
How is the notetaker adapted to our hospital?
It is tuned to each client’s medical terminology, so the notes use the terms, abbreviations and structure your staff expect. Tuning and evaluation are done with your clinicians, on examples that represent your specialities.
How do you handle patient information?
Access, storage and retention are scoped for each project, around your privacy and compliance requirements. We agree which data the system may use, who can see outputs and where human review applies before any build starts.
Let’s talk about your next step.
The workflow, the data and what needs to change.