Designing Clinician Overrides and Rationale Capture

Why Overrides Need a Deliberate Design

A model-informed recommendation is an input to clinical judgment, not a substitute for it. A clinician may have relevant information that was unavailable to the model, may judge that the model's assumptions do not fit the patient, or may choose an action different from the recommendation for another patient-specific reason. A system should make that judgment possible while keeping clear what the model proposed and what the clinician ultimately decided.

An override design therefore has two linked aims: preserve clinical discretion and make the decision interpretable later. A dose that differs from the recommendation is not, by itself, evidence of poor care or a model failure. But if the difference is invisible, overwritten, or recorded only as an unstructured fragment, the care team cannot reliably distinguish a considered clinical decision from a data problem, a misunderstanding, or an accidental change.

This tutorial concerns the decision record for an individual recommendation. It does not prescribe a universal dose policy. Permitted actions, required documentation, and escalation paths must be defined for the specific medication, clinical setting, and local governance arrangements.

Specify the Decision Before Designing the Form

The system should distinguish the decision status from the dose value. At minimum, the clinician needs a clear way to record whether the recommendation was accepted, modified, rejected, or deferred. A blank or abandoned recommendation should not be silently treated as either acceptance or rejection. If a local system uses additional statuses, each should have an operational definition so that the same event is not classified differently by different users.

For a modified recommendation, record both the proposed dose and the final dose or regimen selected, with units and schedule. For a rejection, record that no recommended dose was used and, where relevant, the alternative action or plan. For a deferral, record that the decision is pending and what must happen next, such as obtaining a new measurement or reviewing additional clinical information. Deferral is not the same as rejecting the recommendation: it signals that the decision remains unresolved.

A rationale should explain the clinical basis for the decision, not merely restate that the clinician disagreed. A concise design can pair a structured reason category with a short free-text explanation. Categories might include new clinical information, patient-specific constraint, concern about input data or model applicability, a different treatment goal, patient preference, or other reason. Categories should fit the intended service and should include an “other” route rather than forcing a misleading choice.

The accompanying detail should be proportionate. It need not duplicate the entire clinical record, but it should identify the relevant evidence or circumstance well enough to understand the decision later. When the reason relies on a particular measurement, event, or patient report, the record should identify that source or link to it where feasible. If the reason is “other,” a brief explanation is especially important.

A Minimal Record That Can Be Reconstructed

A rationale is useful only in relation to the recommendation it explains. At a minimum, a decision record needs to connect the model output to the clinician’s action and preserve enough context to identify which recommendation was considered. The record should not rely on a user remembering the output after it has disappeared from the screen.

The logic is straightforward. If the record contains only the final dose, it cannot show whether that dose was recommended or changed. If it contains the original recommendation and final dose but no decision status, it may be unclear whether the recommendation was accepted, modified, or superseded. If it lacks the rationale, a later reviewer cannot tell why the difference occurred. Finally, without an identifiable recommendation snapshot and its relevant context, the reviewer may not know which model output the rationale refers to.

Here, context and provenance include the identifiers and timestamps needed to link the decision to the relevant recommendation and record who made it. Where available, retain the model and data-mapping version, the inputs used, and the recommendation time. This is not a requirement to display every technical field to the clinician. The interface can present a concise clinical summary while retaining the detailed provenance in the linked record.

The original recommendation should be preserved as an historical fact, not overwritten by the clinician’s selected dose. The final action should also be represented clearly in the clinical record. If an order is later changed, the new action should be linked as a subsequent event rather than erasing the decision history. The clinically visible record and the technical audit trail serve different purposes: the former supports care and review; the latter can preserve additional system events and provenance.

Worked Examples

Diagnostics, Failure Modes, and Alternatives

Review the process at both the individual-record level and across a sample of decisions. For an individual override, check whether the selected status matches the action, whether dose units and schedule are unambiguous, whether the rationale is linked to the recommendation, and whether the record distinguishes what was known at decision time from later information. Across records, examine missing rationale fields, use of “other,” repeated generic explanations, mismatches between status and final order, and recommendations with no recorded disposition.

A high proportion of one reason category is not automatically evidence of misuse. It may reflect a genuine clinical pattern, an overly broad category, or a form that makes other choices difficult to find. Likewise, a low override rate does not establish that recommendations are appropriate or that clinicians understand them. Counts and proportions describe recorded use; they do not, on their own, establish decision quality or patient benefit.

Three design alternatives have different trade-offs. A structured-only form supports consistent categorization and simple review but may not express the patient-specific basis. A free-text-only note allows nuance but makes decisions harder to classify, compare, and retrieve reliably. A hybrid design pairs a short structured category with focused explanatory text; it supports both consistency and context, but requires careful category design and review of the text field. None of these approaches replaces a clear record of the original recommendation and final action.

A hard lock that prevents any departure from the model output may appear to eliminate overrides, but it also prevents legitimate clinical judgment and can encourage workarounds outside the documented process. At the other extreme, an unrestricted change that leaves no trace of the original output makes later review difficult. A more defensible design permits specified decisions under local policy and preserves what was recommended, what was done, and why.

Common failure modes include overwriting the recommendation, treating an empty field as acceptance, offering only vague categories such as “clinical judgment,” forcing a clinician to select a false reason, and recording a rationale that cannot be linked to the order. Another pitfall is treating a complete form as proof of a sound decision: documentation quality and clinical appropriateness are related but distinct questions.

Limitations and Practical Safeguards

No fixed list of rationale categories can anticipate every clinical circumstance. Categories that are too detailed slow entry and may imply distinctions that are not meaningful; categories that are too broad offer little insight. The appropriate balance depends on the intended decisions and should be assessed with clinicians who will use the record. The free-text field should invite relevant explanation without demanding unnecessary duplication of sensitive information already documented elsewhere.

A complete rationale also cannot repair a wrong or outdated recommendation, establish that the clinician had all relevant information, or guarantee that a selected dose was entered correctly. Nor does a stored model version by itself explain a decision to a clinician. Record design supports transparency and review; it does not replace clinical evaluation, appropriate governance, or system validation.

The central safeguard is separation with linkage: preserve the recommendation as generated, preserve the clinician’s disposition and resulting action, and connect them with rationale and provenance. That structure allows a later reviewer to understand the decision without mistaking the model output for the final clinical order.