How clinical records are created may be changing, however the standard against which they are judged is not, says Ellie O’Brien, paralegal at Maulin Law.
Years can pass before a claim is brought, and by then the clinician may have little independent recollection of the consultation in question. What remains is the record, and it will be read carefully, a long time after the event, by people who had no involvement with the patient before or at the time.
A clear, well-structured record can support a clinician’s account and demonstrate appropriate care. A poor or incomplete one can create uncertainty, even where the treatment itself was reasonable. In that sense, the record does not simply reflect the consultation; it shapes how it is later understood.
In private practice, approaches to documentation vary. Some clinicians rely on standardised proformas, others write notes in their own words, and many are now adopting AI-assisted transcription. Each approach can produce effective records, but each also carries risks that are better understood in advance than in hindsight.
Proformas: structure with limitations
Standardised templates are widely used across private healthcare. They provide structure, promote consistency, and reduce the risk of omissions. When used carefully, they offer a solid framework for documentation.
Problems arise when they are treated as a substitute for clinical engagement. This is particularly relevant in the context of consent. Many forms include pre-populated lists of risks, but following Montgomery v Lanarkshire Health Board [2015], the legal obligation is not simply to list risks. It is to ensure that material risks are communicated in a way that is meaningful to the individual patient.
A signed form does not, on its own, demonstrate that this has taken place. It does not show what was discussed, what the patient understood, or which risks were significant in their particular circumstances.
There is also a risk in over-inclusion. Recording risks that were not discussed, or that were not relevant to this patient, can create ambiguity. If a risk appears in the record, it may later be assumed to have been explained; and if it cannot be shown that it was, a document intended to protect the clinician can instead raise questions.
The value of a proforma lies in how it is used. Free-text sections are essential. They allow the clinician to record patient-specific concerns, the focus of the discussion, and any nuances that would not be captured by a template alone. In many cases, this is where a defence is most effectively established, or where its absence is most keenly felt.
Writing in your own words: capturing reasoning
When a claim is brought, the question is rarely just what was done, it is why. Narrative notes are best placed to answer this: capturing clinical reasoning, what alternatives were considered, and how patient preferences shaped the outcome. A record that makes that reasoning visible can be understood and defended, and signals that the clinician was engaged and exercising genuine judgment, not simply following a protocol.
This does not require lengthy entries for every consultation. The focus should be on key decisions and reasoning, particularly where there is clinical judgment or patient choice involved.
In private practice, where there is often more time per consultation, this level of documentation is both realistic and expected.
The limitation of this approach is that it relies on the clinician to cover the ground themselves. Without any structure to prompt them, something relevant may go unrecorded. A proforma used as a prompt rather than a record can help guard against this: providing a safety net without replacing the clinician’s own account.
AI transcription: efficiency with responsibility
AI-assisted transcription is becoming increasingly common. These tools can generate structured notes in real time, reducing administrative burden.
However, they introduce a layer of automated interpretation. While efficient, they may not reliably capture nuance, such as emphasis, hesitation, or the context of a discussion. These details can become significant if a claim arises.
Accuracy is another consideration. If a record is later scrutinised, any discrepancy between what was said and what is documented may be challenged. The clinician who approves an AI-generated note owns that record in full, including any inaccuracies it contains.
An AI-generated note should therefore be treated as a draft and reviewed carefully before being finalised. This review is not an administrative formality but a necessary safeguard. Practices adopting these tools should ensure there is clear guidance on their use, including expectations around review and a shared understanding of their limitations.
The standard remains unchanged
Despite changes in how records are created, the standard against which they are judged is consistent. Courts expect a contemporaneous, accurate, and sufficiently detailed account of the consultation. The record should show what was discussed, what decisions were made, and why. It should reflect the individual patient, rather than a generic process.
This standard can be met using different methods, but the quality of content is critical. Small additions, such as noting a patient’s specific concern or briefly recording reasoning, can make a significant difference.
In many cases, the record will stand alone. It cannot be supplemented reliably by memory years later. For that reason, it is worth considering, at the time of writing, whether the note would make sense to someone reading it for the first time.
Whichever approach is taken to pro formas or AI tools, a well-prepared record does more than document care. It provides a clear account of clinical thinking and patient interaction. When scrutiny comes, that clarity is often the strongest protection available.
