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Use case · Healthcare

More time to care. Less time managing paperwork.

In a hospital department, every referral, appointment and report passes through several hands and several systems. See how AI, connected through MCP to the existing systems, takes on the administrative work — without ever making clinical decisions.

Watch the demos Talk about my institution

Sofia

Coordinator · Clinical administration

Every referral arrives in a different format. I spend hours copying data into the booking system.

Illustrative persona, based on typical administrative roles in health services.

A day at the clinic office

Meet Sofia.

Sofia runs the administrative office of an outpatient service. Between referral letters, phone calls and waiting lists, there is never enough time.

  1. 35 referrals arrive by email and platform: PDFs, scans and free text.

  2. Each one is read and its administrative data typed into the booking system by hand.

  3. A doctor becomes unavailable next week: 28 appointments to reschedule by phone.

  4. The board asks for the monthly waiting-time report. The data sits in three systems.

The challenge

Administrative work takes time away from care.

Health professionals and administrative teams spend a significant part of their day on tasks that need no clinical judgement — but do need great rigour.

12 min

per referral spent reading and entering data

30+

phone calls to reschedule a cancelled clinic

2 days

to compile a monthly activity report

Estimate Illustrative figures based on typical scenarios. Every assessment establishes your organisation's actual numbers.

  • Mixed formats

    Letters, forms and scans with the same information in different places.

  • Unstable schedules

    Absences and emergencies force dozens of appointments to be reorganised by hand.

  • Sensitive data

    Health data demands the utmost care with every copy and every message.

What changes

Administrative rigour, without touching clinical decisions.

With MCP servers connected to the booking system, document management and the data warehouse, the assistant structures, proposes and prepares. Clinical triage and priorities remain with health professionals.

Today

  • Every referral entered by hand
  • Rescheduling by phone, one by one
  • Reports compiled in spreadsheets
  • Data copied between systems

With AI connected through MCP

  • Administrative data extracted and validated
  • Rescheduling proposals that respect clinical priorities
  • Reports generated from pseudonymised data
  • No copies: AI queries the source

Guided demonstrations

Two administrative tasks, handled safely.

Choose a demonstration. Note the pseudonymisation: the AI works with identifiers, not names.

Referral registration — Outpatients (simulation)

Processed in the EU

Sofia has 35 new referrals to register in the booking system.

    MCP calls

    0
      • Referrals
      • Bookings

      Simulation with fictitious data. No real system is contacted.

      Connected systems

      The MCP servers behind this solution.

      Minimal, pseudonymised access. No tool can reach diagnoses or clinical decisions beyond what the administrative task strictly requires.

      • Bookings and schedules

        Outpatient booking and clinician schedule systems

        • schedules.availabilityRead
        • appointments.proposeRead
        • appointments.rescheduleWrite with approval

      • Referrals

        Referral platforms and institutional email

        • referrals.newRead
        • referrals.extractRead
        • referrals.registerWrite with approval

      • Activity data

        Data warehouse and production indicators

        • indicators.waiting_timesRead
        • indicators.activityRead

      • Patient communications

        Transactional SMS and email

        • notifications.sendWrite with approval

      Health data is processed exclusively in the European Union, through our partners, or on the institution's own infrastructure.

      Results

      Hours given back to care.

      Estimates for an outpatient service handling around 700 referrals a month.

      • Registering one referral

        Before: ≈ 12 min After: ≈ 2 min validation

      • Rescheduling a cancelled clinic

        Before: ≈ 4 h After: ≈ 20 min

      • Monthly waiting-time report

        Before: ≈ 2 days After: ≈ 1 h

      Estimate Illustrative figures based on typical scenarios. Every assessment establishes your organisation's actual numbers.

      Safeguards

      The most sensitive data demands the strictest rules.

      • Never clinical decisions

        AI handles administrative tasks only. Priorities and clinical triage always belong to health professionals.

      • Pseudonymisation

        AI works with identifiers wherever possible; personal data stays at the source.

      • Health data in the EU

        Processing exclusively in the European Union or on the institution's premises.

      • Full traceability

        Every data access is logged, with the user, the reason and the result.

      Frequently asked questions

      Does the AI have access to clinical records?

      Only to what the administrative task strictly requires, agreed with the data protection officer. By default it works with pseudonymised identifiers.

      Who sets waiting-list priorities?

      Health professionals. The AI proposes rescheduling that respects the clinical priority already assigned, and every change is approved before it is made.

      How is GDPR compliance ensured?

      Data protection impact assessment, minimisation, audit logs and processing in the EU. We work with the institution's data protection officer from day one.

      Which administrative task weighs most on your service?

      Talk to us. We start with one process, on test data, with every safeguard agreed with your team.

      Talk about my institution

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