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AI for healthcare providers and clinics
We work with healthcare providers, NHS-contracted services and health technology businesses on administrative work such as referrals, correspondence and scheduling. Clinical decisions stay with clinicians.
Where the time goes
Tasks AI can take on in healthcare
- 01Clinical staff spend time on documentation and administration that takes them away from patients
- 02Requests arrive faster than triage coordinators can sort them
- 03Missed appointments, known as DNAs (did not attend), leave gaps in clinic lists
- 04Gaps in the schedule leave clinical time unused
- 05Recall and preventive care programmes are hard to keep up with alongside daily work
Possible uses
Tasks AI can take on in healthcare
Tasks we can test with your team. The first tab shows a workflow from a related client project.
Triage coordination support
Tools that help triage coordinators sort incoming requests and highlight possible urgent cases for a clinician to assess. Clinical judgement and the final decision stay with clinical staff.
- Check access against the staff listLeavers removedAccess
- Track spend for each toolAgainst the budgetSpend
- Sample outputs for qualityErrors logged and fixedQuality
- Check use against the policyData handling rulesPolicy
Clinical documentation assistance
Transcription and summary drafts that help clinicians produce structured notes, checked and edited by the clinician before sign-off.
Appointment management
Reminders, self-service rescheduling and follow-up messages aimed at reducing missed appointments.
Admin automation
Referral processing, correspondence handling, report distribution and routine patient messages, with agreed checks on anything that affects care.
Recall and preventive care
Lists of patients due for recall, drafted reminder messages and tracking of responses, for staff to review before anything is sent.
Overview
How we work in healthcare
Healthcare technology affects patients, so reliability and clinical safety come before speed. We focus on administrative tasks: referral processing, correspondence, appointment management and documentation support. Where a task touches patient care, such as triage or discharge information, we agree who reviews the output, how cases are escalated and what the tool must not do. Integration with a clinical system depends on that system and is assessed before we commit to it.
Healthcare work can involve CQC standards, NHS information governance requirements including the Data Security and Protection Toolkit, UK GDPR and, for some software, medical device regulation. We identify the rules that apply to the work with you and agree the safeguards, clinical review and escalation steps before anything goes live. We involve your clinical safety lead in any question about clinical risk.
What changes
- 01
Less clinician time spent on referral processing and documentation
- 02
Fewer missed appointments, tracked against your current DNA rate
- 03
Clinic lists with fewer unused slots
- 04
Recall programmes that keep pace with the patients who are due
How we help
Services for healthcare
For tools your team already relies onManaged ServicesMonitoring, fixes, and a monthly review of the AI tools and software your team relies on.For deciding what to buildAI ConsultancyA written plan of which tasks AI can take on in your business, what each would cost and which to start with.
For software built around your processApplication DevelopmentSoftware designed and built around your processes, users and existing systems, then tested with the people who will use it.
For tasks your team repeats every dayAgent DeploymentsAI agents that carry out agreed steps in the tools you use, with the checks your team sets before anything goes out.Talk to us
How does the work run in your business?
Bring one admin task your clinicians or front desk repeat. We will tell you which steps AI can take on and what a clinician still checks.