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Keep agreed follow-up from getting lost

Follow-up after a discharge or a clinic visit, step by step. The systems by layer, the work today, the same work with one agent that tracks evidence, and who closes what.

By Murali SidLinkedInPublished Updated

A patient leaves a ward or a clinic with actions the care team agreed. Typical ones are a blood test in a few weeks and a review appointment. Others are a community nursing referral, actions for the GP, and results still pending. The result should be each action done, with evidence that it was done. Today the actions sit in free text and the responsible doctor rotates. Mostly no one checks. With an agent, each action becomes a tracked task with an owner and a due date. Only the responsible team closes a clinical task.

Four stages. Agreed plan: clinician-approved actions. Track: owners and due dates. Check: completion evidence, such as a visit note or a task record. Escalate: a person resolves anything unresolved. A loop shows follow-up within agreed limits. A banner says a delivered message does not prove completed care.
Keep agreed follow-up from getting lostThe agent tracks a plan the care team agreed. The care team decides what counts as done.Open image at full size ↗

The systems involved

Follow-up touches these layers. The healthcare page shows the full hospital estate.

How it runs today

Swimlanes for the GP and community services, the treating team, clerks and the systems. Step 1: the treating team agrees actions in free text, and a junior doctor writes the discharge summary. Step 2: the EMR sends it to My Health Record and the GP. Step 3: a clerk requests a review appointment. Step 4: a doctor orders tests that a community lab will do. Step 5: a nurse refers the patient to community services, whose intake keys it in again. Step 6: the responsible doctor watches pending results. Step 7: a nurse phones some patients. Step 8: no one checks the work was done. Step 9: a clerk handles missed appointments. Step 10: the data warehouse reports. A blue box under each step names the system it uses.
Follow-up after discharge todayStep 8 is the gap. Nothing checks that the agreed work happened.Open image at full size ↗

Handoffs. The ward hands to clinic booking and to community health intake. The hospital hands to the GP through the discharge summary. One rotating junior doctor hands pending results to the next. The hospital sends the patient to a community lab, and the result comes back.

Where reporting comes in. Readmission rates and discharge summary timeliness are standard hospital measures. Overdue review lists sit in the PAS and are often not reported upward (typical, unsourced). NSQHS Standards 5 and 6 cover comprehensive care and communicating for safety. Accreditation looks at both.

Volumes and cycle time. Most follow-up actions fall due between one and twelve weeks after discharge (typical, unsourced). Studies name tests pending at discharge as a patient safety risk. Their figures vary by study and setting. No Australian or New Zealand figure was found for the share of agreed actions completed.

Pain points.

  • Actions sit in free text. There is no single list.
  • There is no single owner, because the responsible doctor rotates.
  • Review requests get lost between the ward and the clinic.
  • Community referrals are sent but not acknowledged.
  • The GP gets the summary late, or not at all.
  • A reminder is sent, but nobody checks the work was done.
  • Results that arrive after discharge sit unacknowledged.

How agents run it

One agent runs a task loop on fixed steps. It records evidence. It never decides that clinical care happened.

Swimlanes for the agent, the care coordinator, the responsible team, fixed rules, the systems and the evidence store. Step 1: the agent pulls the agreed actions from the discharge summary, and the coordinator confirms the list. Step 2: it opens one task per action, and the coordinator approves. Step 3: it watches events for completion and links the evidence. Step 4: it flags overdue tasks. Step 5: it asks the owner team, and the coordinator approves anything off-template. Step 6: it reminds the patient within fixed contact limits. Step 7: it escalates pending results under fixed rules. Step 8: the responsible team closes clinical tasks, and a rule closes admin tasks. Step 9: the agent reports counts, and the coordinator reviews them. The evidence store keeps task history, the EMR audit log, traces and message receipts. A diamond marks each approval.
Follow-up after discharge with an agentA diamond marks each approval. Only the responsible team closes a clinical task.Open image at full size ↗

What stays with a person, and why.

  • Deciding the follow-up plan. That is a clinical decision.
  • Reading and acting on a result. That is a clinical decision.
  • Closing a clinical action. The team must confirm the care happened.
  • Sending a patient back to the GP after missed appointments. That is a decision about a person.
  • Anything the patient reports about symptoms. It goes to the care team's approved process.

Where the evidence is kept. The task history in the FHIR server shows who or what made each change. The EMR audit log records every read and write under the agent's identity. Agent traces sit outside the agent, keyed to the task. Message receipts stay in the secure messaging and SMS systems.

What changes in the systems.

  • A follow-up worklist for the coordinator, built on FHIR Task.
  • Event subscriptions for results, appointments and discharges.
  • A structured "follow-up actions" section in the discharge summary template. Step 1 is probably not reliable without it.
  • Task statuses: proposed, confirmed, in progress, overdue, done with evidence, closed by team.
  • Task memory keeps requests, replies, due dates and reasons together. Reference memory holds the approved procedure and templates. Both follow the retention policy. Knowledge and memory sets out the kinds.

What does not change. The discharge summary stays the legal record. Results acknowledgement stays with the clinician. The missed-appointment policy stays. The GP's own recall system stays.

The standard behind the task list. The HL7 FHIR R4 Task resource records a task's status, owner, inputs and outputs. It can hold the difference between requested work and completed work. Local workflow design and clinical governance are still needed (HL7, reviewed 15 October 2026).

Who does this today

No Australian or New Zealand public health service was found using an agent to check that agreed follow-up was completed.

Where this sits

The four questions place this agent.

  • Role. It coordinates. The domain is health follow-up.
  • Permissions. These are what its own credentials let it do. It reads discharge summaries, orders, result status, appointments and community acceptances. It writes tasks, evidence links and statuses. It sends requests to teams, and SMS within limits. It cannot close a clinical task or interpret a result.
  • Autonomy. It is designed and permitted for delegated tasks (A2) on the autonomy contract. The care coordinator reviews its output. Anything clinical drops to assisted (A1), where the care team decides.
  • Impact. It touches none of the four deterministic zones. The rule for decisions about people applies to closing clinical tasks and to sending a patient back to the GP. A named person makes both.

It is Tier 3 (strict), because it reaches regulated health data. Patient replies are untrusted input. It reaches health data, and it sends messages. That is all three parts of the Rule of Two. So it stays at A2, with approved templates only.

Its learning level is fixed (L0). It follows the approved procedure and does not learn from cases. Changes go through the agent lifecycle.

It has its own identity (ID2) on the delegation chain. Policy is enforced outside the model: the task server refuses a clinical close from the agent's account. Of the seven capabilities, observability and audit trail does the most work here. It keeps the task history where the agent cannot touch it.

Measure the result

Compare with the simplest alternative, a reminder queue. A queue may be enough when every task has the same inputs and the same completion rule. Measure these:

  • Tasks closed with evidence, and tasks still unresolved.
  • Wrong closures. The target is none for clinical tasks.
  • Unneeded contacts with patients.
  • Coordinator workload.
  • Time from due date to verified completion.

Keep adverse events and patient complaints visible separately.

Start with a trial

Pick one ward and one kind of action, such as blood tests after discharge. Run the agent on past discharges first, and check its list against what the team agreed. Then run it live with the coordinator confirming every list. Register the agent with a named sponsor and owner before go-live.

Evidence and limits

No Australian or New Zealand figure was found for how much agreed follow-up gets done. The size of the gap is not measured here.

No public health service in either country was found using an agent for this. The named cases are US vendors or primary care in Australia and New Zealand.

Step 1 depends on how actions are written. Free-text summaries make it unreliable. A structured follow-up section in the discharge template is probably needed first.

Next step

See how the same evidence discipline works before a meeting on consult and MDT preparation. Or go back to the hospital estate.

Explore this topic

Research for this page was done on 15 October 2026.

Cite this page

Written by Murali Sid, Founder and AI Systems Architect, last updated 15 October 2026. Licensed CC BY-SA 4.0, so quote it freely with attribution.

Murali Sid (2026). Keep agreed follow-up from getting lost. Agentic Architecture Skills. https://www.agenticarchitectureskills.com/use-cases/care-follow-up

Machine-readable version of this page: /use-cases/care-follow-up.md

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