Agentic AI and the administrative work of healthcare

Begin with the administrative journey

Healthcare organizations coordinate intake, appointments, records, approvals and billing across teams and systems. These handoffs are a useful place to examine administrative assistance. Map the work before introducing an agent and identify where staff repeat checks or reconstruct missing context.

This article addresses administrative workflow design. It does not propose autonomous diagnosis, treatment or clinical decision-making. A system’s intended use, information access and authority must be defined with the appropriate operational and clinical owners.

Map the chain from request to resolution

A bounded journey might begin with an appointment request, continue through administrative record checks and scheduling, and end with a staff-confirmed response. Each step needs an owner and a defined exception path.

The sequence is illustrative. It describes an administrative design pattern, not a verified product capability or a measured client result.

Define what the agent may do

Separate reading a record, drafting a message and committing a change. A useful first implementation may prepare a staff review queue rather than act directly in the source system. That makes the boundaries and review effort easier to evaluate.

• Limit access to information needed for the specific task.
• Require review before consequential changes or communications.
• Record the source of information and actions taken.
• Provide a clear stop, override and escalation route.

Design for ambiguous identity matches, contradictory information and incomplete records. The system should surface the uncertainty to the responsible person instead of converting it into a confident answer.

Administrative work still needs protection from automation bias

WHO’s January 2024 guidance on large multi-modal models includes clerical and administrative work among potential health applications. It also highlights the risk of automation bias: people may overlook errors or hand difficult judgments to a system because they trust its output.

• WHO: guidance on large multi-modal models in health, 18 January 2024

The guidance concerns a class of AI models; it does not validate a particular agent workflow or product. Our design implication is to make staff review substantive. For a prepared appointment response, show the relevant source fields and unresolved identity or scheduling conflicts. Ask reviewers to confirm the proposed action rather than simply approve fluent text.

Include deliberately incomplete and conflicting examples in the evaluation. Record whether staff detect the issue, what they need to resolve it and how much correction work the proposed assistance creates.

Make information handling part of the design

Map where information is collected, processed, retained and viewed. Confirm the organization’s applicable requirements, permitted providers and access responsibilities before connecting an administrative workflow to sensitive records.

The NIST AI Risk Management Framework provides general context for evaluating and governing AI systems. It does not establish that a healthcare application meets local privacy, clinical or regulatory requirements. Those decisions depend on the organization and the intended use.

• Reference: NIST AI Risk Management Framework

Evaluate work saved and work created

A pilot should measure useful assistance together with the effort needed to verify and correct it. Count incomplete cases, incorrect suggestions and extra handoffs. Review results with the staff performing the task and the people responsible for the patient journey.

• Compare a bounded task with its existing process.
• Test missing records, duplicated requests and unavailable interfaces.
• Measure correction effort as well as processing time.
• Check that the fallback workflow remains usable.
• Record feedback from front-office and administrative staff.

For example, a draft reminder that requires extensive checking may save little time even if it is produced instantly. The unit of value is the completed administrative task with appropriate oversight, not the speed of text generation.

Reviewing iCure360 against your requirements

iCure360 is part of the Bridges product portfolio. Product discovery should begin with the organization’s workflows and requirements, then establish which capabilities are available, which integrations are needed and which responsibilities remain with staff.

• Explore iCure360
• Explore healthcare expertise

A practical next step is a process review with one administrative team. Identify a clear task, map the records and systems it relies on, and agree a controlled evaluation before expanding the scope. Keep the ownership of every action visible throughout the journey.