The Financial and Medicolegal Risk of Incomplete Documentation

The financial and medicolegal risks of incomplete clinical documentation for healthcare organizations, and the potential role of AI Scribe technology in reducing documentation gaps.

For the patient, the process begins with the examination; for the healthcare organization, it continues with the record.

The recent arrival of AI scribe technologies in clinical settings is bringing a different approach to this process. The change here is not simply about entering data into the EHR faster. It is that the information surfacing during the clinical conversation can be used directly as the starting point of the structured record.

This shift matters, because documentation is not merely a written summary of the encounter. The clinical information that emerges during the encounter forms the foundational source on which later clinical assessment, coding, billing, compliance checks, and — when necessary — medicolegal review all depend.

So the problem is not only how much time the physician spends creating the record. The real question is how much of the information surfacing during the encounter makes it into the record accurately, completely, and usably.

Incomplete records can turn into financial loss

In Turkey, the financial counterpart of the clinical record is directly visible. The SGK reviews claims under the General Health Insurance scheme using a sampling method. A given proportion of the period is selected at random, and the deduction coefficient produced by the review is applied to the entire period (SGK Fatura İnceleme Usul ve Esasları; sampling method).

For this reason, the financial impact of a service missing from the record may not be limited to that single item going unbilled. Incomplete or incorrect SUT coding, add-on procedures that never make it into the record, and nonconformities that surface during an audit can all turn into financial loss for the organization after the service has already been delivered.

Here, the record stops being a document produced after care. It becomes the core data source that makes the delivered service visible and traceable for the organization.

Incomplete records can also magnify medicolegal risk

The same holds for legal proceedings. When a clinical decision or intervention is questioned years later, the medical record is often a stronger reference point than what the people who were in the room happen to remember. An incomplete record therefore does not only create a loss of information; it can also affect the physician’s and the organization’s capacity to later explain their own clinical decision.

This finding shows that incomplete documentation is not just a matter of “note quality.” Clinical information absent from the record can find its counterpart later — both in the organization’s financial processes and, when a dispute arises, in its legal defense. And these three areas are not independent of one another. When a physician does not record a piece of information during the encounter, that gap first shows up in the clinical record. The same gap can then carry into coding, into the claim, or into the compliance check. Later, when that same record becomes part of a malpractice file, it can surface once more — this time as a medicolegal problem. Missing information does not disappear as the process moves forward. It is carried into every stage after the record.

The 2024 Candello/CRICO For the Record report examined more than 65,000 malpractice cases closed between 2014 and 2023. A documentation problem was found in 20% of the cases. In cases where documentation problems were present, the odds of closing with an indemnity payment more than doubled. The study found that insufficient documentation of clinical findings, of the rationale behind clinical decisions, and of informed consent in particular increased the likelihood of a payout. (candello.com)

This finding shows that incomplete documentation is not just a matter of “note quality.” Clinical information absent from the record can find its counterpart later — both in the organization’s financial processes and, when a dispute arises, in its legal defense. And these three areas are not independent of one another.

When a physician does not record a piece of information during the encounter, that gap first shows up in the clinical record. The same gap can then carry into coding, into the claim, or into the compliance check. Later, when that same record becomes part of a malpractice file, it can surface once more — this time as a medicolegal problem.

Missing information does not disappear as the process moves forward. It is carried into every stage after the record.

Why does the record have to be rebuilt after the encounter?

In the traditional EHR workflow there is still a significant manual transfer step between the clinical conversation and the structured record. The physician talks with the patient, evaluates the information, and later enters into the system the clinical information that surfaced during the conversation. The anamnesis, diagnosis, procedures, and other clinical details are also structured during this transfer.

In this model, clinical information first emerges within the conversation and then becomes a record only after passing through the physician’s mind and keyboard. This is precisely why the AIM scribe approach is gaining importance. The goal is not merely to write into the EHR faster; it is to shorten the distance between the moment clinical information is produced and the moment it is recorded.

A prospective time-and-motion study published in 2026 directly observed 169 clinical encounters. In encounters where an AI scribe technology was used, documentation time fell from an average of 5.3 minutes to 4.5 minutes — a 15% reduction. Visit length, by contrast, showed no meaningful change. The researchers noted that the time saved came not from shorter patient visits but from a reduction in the documentation burden.

The study also assessed eye contact. Under the standard documentation condition, eye contact was maintained during an average of 69.6% of the encounter, rising to 77.1% in encounters where the AI scribe was used — a relative increase of 10.6%, as the researchers reported. In the same study, 69.2% of the 39 surveyed patients said the physician was more focused on them during the encounter where the AI scribe was used. (PubMed)

These results should not be overstated. The figures alone do not indicate a dramatic transformation, and the patient assessment rests on a small sample. But the study offers direct observational evidence that when the documentation burden within the encounter decreases, part of the physician’s attention can return to the patient.

The real value here emerges somewhere broader than a few minutes: clinical information can be captured as it forms, rather than reconstructed after the conversation has ended.

The record is a bigger process than the note

** AIM Scribe’s approach begins at this same point.

The conversation between physician and patient becomes a direct source for the structured anamnesis. Instead of reconstructing from memory what surfaced during the encounter and transferring it manually into the EHR, the physician can review a structured record generated from the clinical conversation itself.

This structured clinical context, in turn, does not stay in the note. The clinical information formed from the anamnesis can carry into diagnosis coding; the services made visible in the record into the identification of billable procedures; and the same clinical context into compliance checks.

In this way, the same information stops being data that is regenerated at each stage and becomes a shared clinical context carried through the course of care.

In this approach, AIM’s role is not to take over the physician’s decision. AIM supports the workflow by providing clinical decision support; the outputs it generates can be reviewed and validated under the physician’s control. Control over the final clinical judgment and the record stays with the physician.

Because the goal is not to produce more documents. The goal is to ensure that the clinical information surfacing during the encounter reaches the subsequent processes without being diminished.

The financial and medicolegal risk of incomplete documentation begins exactly here. The information forms during the encounter; but when the record is created later, as a separate task, every detail lost in between can turn into a gap in the processes that follow. For the patient, the process begins with the examination. For the healthcare organization, that same process continues with the record. The earlier, the more accurate, and the more complete the record is, the greater the chance that clinical information preserves its meaning as it moves into financial and medicolegal processes.

Sources SGK Fatura İnceleme Usul ve Esasları; sampling method — saglikaktuel.com Candello/CRICO, “For the Record: The Effect of Documentation on Defensibility and Patient Safety,” 2024 — candello.com 2026 prospective time-and-motion study, ambient AI scribe (169 encounters) — PubMed