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An AI-assisted decision caused harm. What you have to report, and what you may not be able to say.

Medical device reporting has no separate AI category, so the ordinary triggers apply. The part that is genuinely different is timing: the clock starts when you become aware, and a model authorized to change may not be the same model by the time you file.

21 CFR Part 80330 days from awarenessPHI-free · non-device

Published September 9, 2026

Part 803 has no separate category for AI, so an AI-enabled device reports on the same triggers as any other: a death or serious injury the device may have caused or contributed to, or a malfunction that would likely cause one if it recurred. What is different is that the clock runs from awareness rather than from the event, and that a model authorized to change under a PCCP may have moved in between. A report describes what the device did. A changed device cannot answer that retroactively.

Most clinical AI writing about things going wrong is about liability, which is the question of who pays. We covered that in who is liable when a clinical AI decision is wrong. This is the earlier and more concrete question: what you are legally required to file, on what clock, and which factual fields you will be asked for that are expensive to reconstruct after the fact.

Who reports, and on what trigger

Part 803 creates three categories of mandatory reporter: manufacturers, importers, and device user facilities, which include hospitals, surgical centers, nursing homes and outpatient diagnostic or treatment facilities.[1]

Manufacturers must report when they learn that a device "may have caused or contributed to a death or serious injury," and separately when they become aware that the device "has malfunctioned and would be likely to cause or contribute to a death or serious injury if the malfunction were to recur."[1] Importers report deaths and serious injuries to both the FDA and the manufacturer, and malfunctions only to the manufacturer. User facilities report suspected device-related deaths to both the FDA and the manufacturer, and serious injuries to the manufacturer, or to the FDA where the manufacturer is unknown.[1]

The second manufacturer limb deserves attention for AI specifically. It is a recurrence test, not a harm test. A model that produced a clearly wrong output which a clinician caught before it reached the patient has harmed no one, and can still be a reportable malfunction if the same failure recurring would likely cause serious injury. Teams that think of reportability as triggered by patient harm systematically under-count that case.

The clocks

ReporterEventGoes toDeadline
ManufacturerDeath, serious injury, reportable malfunctionFDA30 calendar days from awareness
ManufacturerWhere remedial action is needed to prevent unreasonable risk of substantial harm, or FDA requests itFDA5-day report, 21 CFR 803.53
ImporterDeath or serious injuryFDA and manufacturerPer Part 803
User facilitySuspected device-related deathFDA and manufacturer10 working days
User facilitySerious injuryManufacturer, or FDA if unknown10 working days

Two notes on reading that table honestly. The 30-day clock "starts the day you receive or otherwise become aware of information that reasonably suggests the event is MDR-reportable,"[2] which is earlier than most teams assume and is not the date your investigation concludes. And on the 5-day report, published summaries disagree about whether the count is in work days or calendar days, so read the counting basis off 21 CFR 803.53 itself rather than off any secondary description, including this one.

The question a changed model cannot answer

Here is where AI-enabled devices differ from the rest of Part 803 in practice rather than in text.

A report describes an event and the device's role in it. For a fixed device that is a stable question: the device that was involved is the device you still have. Under an FDA-authorized Predetermined Change Control Plan, a model can be updated without a new marketing submission, so the version in force is a function of the date. We covered the mechanics in one record, two regulators.

Now put that on the MDR timeline. The event occurs. Some weeks later a complaint, a clinician query or a support ticket surfaces it, and awareness begins. Somewhere in that window the model is updated inside its authorized plan. You now have thirty days to file a description of what the device did, and the device in front of you is not the one that did it.

Why the reporting clock and the model version can diverge The report describes the device. The device may have moved. Event model v4.2 ran Model updated v4.3, inside the PCCP Awareness 30-day clock starts Report due Which version produced the output? Answerable only from a record made at the event, not from the system you have now.

Why "we checked the logs" is thinner than it sounds

Most teams will say the inference logs answer this. Sometimes they do. The question is what the log is worth once it leaves your building.

An ordinary application log records that an inference occurred. It can be edited, rotated or regenerated, and it usually does not bind the output to a specific set of weights on specific inputs. Inside an investigation that is often good enough, because everyone in the room is acting in good faith. In a filing that a regulator reads, and that a plaintiff expert may read later beside it, a record that could have been altered and a record that could not are different categories of thing. We covered what closes that gap in what tamper-evident actually requires.

What to have ready before you need it

Two things, and only one of them is technical.

The technical one is the set of fields that are expensive to reconstruct after the fact: the model version and a digest of the weights that actually ran, the identity of the inputs, the output, the timestamp, and the identifier of any authorized modification in force at that moment. Sealed at the time, those answer the factual half of a report without an archaeology project.

The organizational one matters just as much and costs nothing. Decide in advance who is authorized to declare awareness, and write it down. The clock starts on awareness, not on the completion of your investigation, so an unclear internal trigger is how a thirty-day clock quietly becomes a twenty-day clock while people debate whether a support ticket counted.

What we are careful never to claim

RankShieldMD does not determine reportability, does not file your reports, and is not legal or regulatory advice. Whether a given event is reportable is a determination for your regulatory affairs function and your counsel, and the analysis turns on facts a software layer cannot see. We are not a medical device, we do not render or score clinical decisions, and we never see PHI.

What we do is narrower and checkable. We bind a model version to an output at the moment it is produced, in a tamper-evident, externally anchored, PHI-free record that a third party can verify without trusting us. That answers the factual question of which version was involved. It does not answer the regulatory question of what you owe.

References

  1. [1] U.S. Food and Drug Administration. Medical Device Reporting (MDR): How to Report Medical Device Problems. Reporter categories and the manufacturer, importer and user facility triggers. fda.gov
  2. [2] Complizen. Adverse Event Reporting for Medical Devices: Complete FDA Medical Device Reporting (MDR) Guide. Source for the awareness-based start of the 30-day clock and the user facility 10 working day timelines. complizen.ai
  3. [3] 21 CFR Part 803, Medical Device Reporting, including 803.50 and 803.53. Read the day-counting basis for the 5-day report directly from the regulation. ecfr.gov
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When does an AI-enabled device trigger a medical device report?
On the same triggers as any other device, because Part 803 does not have a separate AI category. A manufacturer must report when it learns that its device may have caused or contributed to a death or serious injury, and must also report when it becomes aware that the device has malfunctioned and would be likely to cause or contribute to a death or serious injury if the malfunction were to recur. The second limb is the one people underestimate for AI, because a model that produced a wrong output which was caught before it reached the patient can still be a reportable malfunction on the recurrence test.
How long do we have?
For manufacturers the clock is 30 calendar days, and it starts when you receive or otherwise become aware of information that reasonably suggests the event is reportable. That is not the date of the event and not the date you finished investigating. There is also a shorter 5-day report under 21 CFR 803.53 where remedial action is needed to prevent unreasonable risk of substantial harm to public health, or where the FDA requests it. Device user facilities work to a separate 10 working day clock. Confirm the exact day-counting basis for the 5-day report against the current regulation, because secondary summaries of it disagree.
Does a hospital have to report, or just the manufacturer?
Both, on different duties. Device user facilities, which include hospitals, surgical centers, nursing homes and outpatient treatment facilities, must report suspected device-related deaths to both the FDA and the manufacturer, and serious injuries to the manufacturer, or to the FDA if the manufacturer is unknown. Manufacturers report deaths, serious injuries and reportable malfunctions to the FDA. Importers report deaths and serious injuries to both the FDA and the manufacturer, and malfunctions only to the manufacturer.
Why is this harder for a model that changes?
Because the report asks what the device did, and a device authorized to change may not be the same device by the time you write it. Under an FDA-authorized Predetermined Change Control Plan a model can be updated without a new marketing submission, so the version in force is a function of the date. If the event happened in March, you became aware in April, and the model was updated in between, then a description of the current system is not a description of what was involved. Without a record made at the time, the honest answer to which version produced the output is that you cannot say.
Are our inference logs enough for this?
They are usually enough to reconstruct a narrative and rarely enough to prove one. An ordinary application log can be edited, rotated, or regenerated, and it typically records that an inference happened rather than binding the output to a specific set of weights on specific inputs. For an internal investigation that may be fine. For a filing that goes to a regulator and may later be read alongside a plaintiff expert report, the difference between a record that could have been altered and one that could not is the difference between an assertion and evidence.
What should we have ready before an event happens?
The fields that are expensive to reconstruct afterward: the model version and a digest of the weights that actually ran, the identity of the inputs, the output, the timestamp, and the identifier of any authorized modification in force at that moment. Also decide in advance who inside the organization can declare awareness, because the 30-day clock starts on awareness rather than on the completion of your investigation, and an unclear internal trigger is how a 30-day clock quietly becomes a 20-day clock.
Does RankShieldMD file or determine our reports?
No. Reportability is a regulatory determination that belongs to your regulatory affairs function and your counsel, and nothing here is legal or regulatory advice. RankShieldMD is not a medical device, does not render or score clinical decisions, and never sees PHI. What it does is narrow: it binds a model version to an output at the moment the output is produced, in a tamper-evident, PHI-free record that a third party can verify. That supports the factual part of a report. It does not decide whether you must file one.