A missed patient alert or the wrong care instructions can lead to a claim against your company. Explore coverage for the work your healthcare agent performs.
For healthcare AI builders, clinics and digital-health platforms
01
The agent
Handle routine follow-up. Send clinical questions to the care team.
Example agent profile
Patient follow-up & care coordination
Users
Patients, care teams & clinic staff
Typical tasks
Check-ins, record updates & escalation
01
Collect the update
Patient responses and follow-up information.
02
Match the context
The right patient, visit and approved protocol.
03
Route the case
A routine task or a handoff to the care team.
04
Record the outcome
The message, approval and completed action.
Outside this example’s scope
Diagnosis, prescribing, improvised clinical advice and replacing the treating clinician’s judgment.
Approval depends on the action
A record update and a patient-facing message need separate permissions. Document which steps require a person.
Illustrative workflow
One message can change the next step.
Patient message
“Can you resend the follow-up instructions my clinic gave me?”
Fictional example. No patient data.
Existing care instructions
Retrieve the existing instructions.
Match the patient and care plan, then prepare the clinic-approved message and request any required review.
Do not add a diagnosis or new treatment advice.
Patient message
“Something has changed since my treatment. Does the same advice still apply?”
Fictional example. No patient data.
Clinician review required
Keep the clinical question with the care team.
Preserve the patient’s message, flag the change under the clinic’s rules and record the handoff to the assigned team.
Do not close the case just because a reply was generated.
An anonymized workflow informed by Klaimee’s assessment work. These are hypothetical examples, not reported patient incidents or proof of a particular product’s performance.
02
Failure scenarios
How an automated follow-up can go wrong.
The care team may never see a case that the agent labels routine. A patient may trust incorrect instructions because they appear to come from their clinic.
01 / Triage & escalation
A patient who needs review stays in the routine queue.
A patient reports worsening symptoms after treatment. The clinic’s rules require review, but the agent sends a routine check-in instead of alerting the care team.
Possible consequence
A clinician sees the case late. The clinic may face a patient complaint or a claim involving delayed care.
What to test or change
Test ambiguous and conflicting patient responses against clinician-approved routing rules. Check that the escalation reaches an assigned person and has a fallback when nobody acknowledges it.
02 / Patient communication
The patient receives instructions for the wrong treatment.
A patient asks about their prescribed treatment. The agent retrieves instructions for a different procedure, then adds advice that the clinic never approved.
Possible consequence
The patient may follow unsuitable instructions, even though the message looks like it came from their clinic.
What to test or change
Match the patient, procedure and current protocol before drafting. Block new treatment instructions outside approved content, and route medication or diagnosis questions to the clinician.
03 / Record updates
A patient’s response is saved in someone else’s record.
Two follow-up tasks have similar names or contact details. The agent attaches a patient response to the wrong record, and the next summary repeats it.
Possible consequence
The care team sees the wrong history. Staff must find the affected records and correct any messages sent using them.
What to test or change
Use a verified patient ID for every record access and update. Test duplicate names, expired sessions and retries; keep a history of changes so mistakes can be corrected.
04 / Patient privacy
One clinic sees another clinic’s patient data.
A shared retrieval system returns a follow-up note or patient photo from another clinic. The agent includes it in the current case summary.
Possible consequence
Private health information reaches someone who is not authorized to see it, creating investigation and possible notification costs.
What to test or change
Enforce clinic and patient authorization before retrieval, not just in the prompt. Test isolation with synthetic records, including attachments, cached results and exported summaries.
05 / Prompt injection
Instructions in a patient note bypass clinician approval.
An uploaded note contains an instruction to skip clinician review and mark an outgoing message as approved. The agent follows it as if it were a clinic policy.
Possible consequence
An unreviewed message could reach a patient or an escalation could be silently closed.
What to test or change
Store approvals in a system that patient text cannot change. Test hidden commands in messages and documents, then check whether anything was sent or changed without permission.
06 / Secondary data use
An analytics export includes patient details it should exclude.
A clinic enables an analytics export. It includes records not approved for that use, and a free-text note still identifies a patient.
Possible consequence
Information collected for care is reused beyond the permitted scope, requiring investigation and corrective work.
What to test or change
Assess secondary-use modules separately. Check the applicable permission and de-identification process before export, including free text, attachments and withdrawn permissions.
03
Coverage questions
Which policy responds when a patient is harmed?
An AI vendor’s contract claim, a patient injury and a health-data disclosure can raise different coverage questions. Give your broker a concrete workflow and loss scenario.
Ask explicitly about patient injury.
Do not assume a policy addressing financial loss also covers bodily injury from a delayed escalation or incorrect message. Check the trigger, exclusions and any sublimits.
Policies to compare for a healthcare AI product
Policy
What to review
The question to ask
Technology E&OThe software provider
The declared technology services, negligence and contract claims, and treatment of healthcare activities. Travelers’ Tech E&O overview
Does our insured scope include patient routing and follow-up messages, and what kinds of loss can trigger coverage?
Medical professional liabilityThe clinical service
Who provides care, which clinicians or entities are insured, and how AI-assisted work fits the covered services. NAIC’s malpractice overview
If a patient alleges delayed or incorrect care, which party’s policy responds? Is the vendor insured at all?
Cyber & privacyHealth information
Privacy liability, breach response and selected interruption coverages. Review notification, investigation and incident-response provisions. Travelers’ cyber overview
What responds if an authorized user receives the wrong patient’s information, without a malicious intrusion?
Digital-health coverageTechnology and care together
Some specialist policies combine technology, clinical and cyber protections. The package label alone does not establish coverage. CFC’s digital-health example
Does the wording address bodily injury arising from our technology or system outage, and under which limits?
General information, not a coverage determination or clinical or legal advice. Availability, insured activities and terms require review of the actual deployment, policy and jurisdiction.
04
Klaimee coverage
Coverage for the consequences of a failed patient workflow.
Klaimee's AI agent coverage addresses the financial risks of agent failures. For a healthcare product, the proposal must connect that protection to patient routing, messages and record updates, with clinical risks reviewed explicitly.
These examples show what to address in your Klaimee quote. Only the agreed contract determines what is covered.
A patient alert is missed
A case that needs clinical review stays in the routine queue.
What it could cost you
The clinic investigates a delay in care and may seek compensation from its software provider.
Coverage focus
Liability from the agreed routing and follow-up service. Patient injury requires explicit review; financial-loss coverage alone is not enough.
The wrong instructions reach a patient
The agent sends guidance from a different care plan.
What it could cost you
The clinic must contact the patient, correct the message and handle any resulting claim.
Coverage focus
The agent's approved patient communications, including which clinical activities and types of loss are included or excluded.
Patient information reaches the wrong clinic
A shared system returns another clinic's patient note.
What it could cost you
The vendor and clinic face investigation, possible notifications and patient complaints.
Coverage focus
Privacy liability and incident costs to address alongside the existing cyber policy.
Your coverage proposal
A defined scope, limit and price.
Your quote should identify the insured entity, patient-facing actions and limits. It must say explicitly how patient injury is treated, rather than leave you to infer it.
The agent, activities and deployments the proposal addresses
The failures and types of loss included, with limits and exclusions
Indicative pricing based on your workflow and potential losses
Required controls and evidence to keep if an incident occurs
The assessment supports that proposal: we document permissions, review controls and use agreed tests to identify failures to fix. A test result alone does not activate coverage.
Coverage is subject to availability, agreed terms, limits and exclusions. A warranty attached to Klaimee's testing service backs the commitments in that service agreement; it is not blanket insurance for every loss caused by an agent.
Privacy is a separate review.
HIPAA obligations depend on the parties’ roles and their handling of protected health information. Map the clinic, vendor and subprocessors, including any required business-associate arrangements.
In the US, some clinical decision-support functions remain subject to FDA device oversight. Review intended use and each function separately. Adversarial tests do not replace clinical validation.
Start with the product’s actual work. Technology E&O addresses the vendor’s declared technology services; cyber coverage addresses selected privacy and security events. Clinical services and patient injury need their own review, whether through medical professional liability or a digital-health policy. Identify which entity is insured and check how bodily injury, clinical activities and contractual obligations are treated.
Does Tech E&O cover an AI triage error?
The policy wording decides. Give the insurer the actual scenario: an agent routes a case incorrectly and delays clinician review. Ask whether the insured services include that activity and whether the alleged loss is financial, bodily injury or both. Do not assume either that every AI error is covered or that every autonomous decision is excluded.
Is the clinic’s malpractice policy enough for the AI vendor?
Do not assume so. A policy protecting a clinician or healthcare organization does not automatically insure its software supplier. Review the insured entities, covered services and the contract between the clinic and vendor. An indemnity clause can create obligations that differ from the protection available under either party’s policy.
Does a human approval step remove the risk?
It changes the workflow, but it does not prove that every consequential action is reviewed. Check what the reviewer sees, which actions wait for approval and what happens if no one responds. A person reviewing outgoing messages may never see a case that the agent incorrectly classified as routine.
Does HIPAA compliance mean a healthcare AI agent is safe?
HIPAA obligations concern protected health information and depend on the parties’ roles. They do not establish that a routing decision or patient message is clinically appropriate. Review privacy controls and business-associate arrangements alongside separate tests for escalation, record accuracy and clinical boundaries. Do not treat a compliance statement as proof of coverage.
Is a patient-follow-up agent a medical device?
That requires a review of the specific functions, intended use, users and applicable jurisdiction. Appointment reminders and software supporting clinical decisions should not be treated as interchangeable. In the US, FDA guidance distinguishes some non-device functions from software that remains subject to device oversight. Klaimee’s risk assessment does not determine regulatory status or replace that review.
How do you test healthcare AI without using real patient data?
Use an isolated test environment with fictional patient records and messages. Disable live patient messaging and record updates. Test who receives alerts, whether records stay private and whether actions wait for approval. Clinical staff define the correct response for clinical cases; adversarial testing alone does not establish clinical safety.
What affects the price of healthcare AI agent coverage?
We look at the tasks the agent performs, what it can do without approval, how many clinics and patients use it, and what one mistake could cost. Revenue, countries served and customer contracts also matter. A reminder tool and an agent deciding which patient needs attention require different coverage reviews.
What do we need to start an assessment?
Start with your website and contact details. For the review, prepare a workflow map, approved and prohibited actions, data flows, escalation rules and an outline of your customer exposure. Existing test results and incident records help. Share synthetic examples first; do not upload patient records, access tokens or production credentials through the public form.
Start with your website and contact details. We’ll review what the agent does, where clinician approval is required and the losses your coverage needs to address.
