Industries · 04

AI agents for hospitals and healthcare providers

In hospitals, administration takes up a lot of time from doctors, nurses and secretaries: sorting referrals, coordinating appointments, documenting services, answering payer queries. Agents can take over this work if they stay strictly in administration. They make no medical decisions.

Example agents

Three agents that take over work here

Examples from typical workflows, not client references. Which agents pay off for you is shown by assessing your own processes.

01

The referral and scheduling agent

Patient management · outpatient

Reads incoming referrals from fax, email and portal, assigns them to the right clinic, checks for missing reports, proposes appointments according to department rules, reminds patients and backfills cancelled slots from the waiting list.

Autonomy level

Start L3 · Assisted agentsTarget L4 · Governed autonomy

Appointment proposals and reminders at L4; medical staff judge the urgency of a referral.

Systems
Hospital information systemSchedulingReferral portalSMS · email
Guardrails

No clinical prioritisation, access only to the referral's administrative data, patient communication labelled as AI.

Human in the loop

Physicians set the urgency; unclear referrals go to the secretariat with a summary.

What to measure

Time from referral to appointment · no-shows · calls to the secretariat

02

The coding agent

Clinical coding · documentation

Reads discharge letters and service documentation, proposes diagnosis and procedure codes for billing (LKF in Austria, DRG in Germany), backs every suggestion with the source passage and flags missing documentation before the billing deadline.

Autonomy level

Start L3 · Assisted agents

The agent proposes, coding specialists decide every code.

Systems
Hospital information systemCoding softwareBillingDMS
Guardrails

Suggestions only with a source passage, no submission to payers, health data never leaves the tenant.

Human in the loop

Coding specialists and clinical controlling accept, reject or complete each suggestion; disagreements go into the golden set.

What to measure

Coding time per case · share of accepted suggestions · payer queries

03

The payer query agent

Billing · payer communication

Receives queries from health insurers and review services, compiles the requested documents from the record, tracks the deadlines and drafts the response for clinical controlling.

Autonomy level

Start L3 · Assisted agents

Compilation and deadlines at L3; every response is sent only after approval.

Systems
Hospital information systemBillingDMSPayer portals
Guardrails

Only the documents requested, as little personal data as possible, nothing sent without approval.

Human in the loop

Clinical controlling reviews and signs every response.

What to measure

Queries answered on time · handling time · revenue retained in reviews

Framework

What to factor in for this industry

  • Health data: It is a special category under Art. 9 GDPR. Agents need strict roles, separate tenants and a log of every access.
  • Medical devices: Software with a medical purpose, such as diagnostic or therapy suggestions, can be a medical device under the MDR; according to the timeline, the AI Act obligations for such products apply from 2 August 2028. The examples here deliberately stay in administration.
  • Patient contact: Anyone communicating with an agent must be able to tell (Art. 50 AI Act).

Where to start

The first agent: The referral and scheduling agent

Referrals and appointments are pure administration, come in high volume and noticeably relieve secretariats without shifting medical responsibility.

Operated by BOTFORCE We do not just build the agents, we run them: monitoring, queues, evals and value reviews from one team.