Recent portrayals of emergency medicine, including HBO’s hit medical drama “The Pitt,” reflect a reality already familiar to some health care systems — clinicians increasingly relying on artificial intelligence-assisted documentation tools to manage the growing administrative demands associated with patient care. Among the most visible developments are “ambient scribe” technologies, which use automated transcription and language-generation tools to assist in creating clinical notes from patient encounters.
Although the technology behind clinical documentation is evolving, the role of the medical record itself remains unchanged. The patient chart continues to serve as a central record of care, an essential component of reimbursement and compliance processes and an important document in regulatory proceedings and litigation. As AI-assisted documentation becomes more common, the relevant issue for health care entities and their legal counsel is not whether these tools will remain part of clinical workflows but how organizations incorporate them into existing documentation and oversight practices.
The changing nature of clinical documentation
AI-assisted documentation tools are generally designed to reduce administrative burden by organizing and drafting portions of clinical records that can then be reviewed and finalized by a clinician. In many respects, these technologies represent an extension of broader efforts to improve efficiency within electronic medical record systems. Like other documentation technologies, however, AI-assisted tools still require human review to ensure the final record accurately reflects the clinical encounter.
Many of the considerations raised by AI-assisted documentation are therefore familiar, rather than entirely new. Health care entities have long managed issues involving documentation accuracy, transcription processes, template usage and record authentication. AI-assisted charting changes the mechanics of how documentation may be generated, but it does not fundamentally alter the expectation that the final medical record accurately reflects the care provided.
Importance of professional oversight
Courts and practitioners have also become increasingly familiar with the need for careful review of AI-generated content in other professional settings. Over the past several years, widely publicized incidents involving generative AI tools producing inaccurate or nonexistent legal citations have underscored a broader point — that technological efficiency does not eliminate the need for professional judgment and verification.
The clinical environment presents different considerations, but the underlying principle is similar. AI-assisted documentation tools may help organize and draft portions of clinical records, yet clinicians remain responsible for reviewing, authenticating and attesting to the accuracy of the final documentation entered into the patient chart. In that respect, the growing use of AI in health care documentation reflects less of a departure from existing professional obligations than an evolution in how those obligations are carried out in practice.
That continued role is particularly important, because clinical documentation carries significance beyond the immediate patient encounter. Medical records are frequently reviewed by regulators, payors, accreditation organizations and legal counsel, often long after the underlying care occurred. As a result, health care entities are increasingly being required to demonstrate that documentation practices involving AI-assisted tools remain consistent, transparent and aligned with existing operational expectations.
Governance and operational considerations
For many organizations, AI-assisted documentation presents less of a technology issue than a governance issue. Policies and workflows are evolving to reflect how documentation is actually created in practice, including expectations regarding clinician review and authentication of system-assisted content. Training has taken on increased importance to ensure providers understand both the capabilities and limitations of AI-assisted tools integrated into documentation workflows.
Consistency across providers and departments has emerged as a recurring issue as well, particularly in large health systems where documentation practices can vary significantly between clinical settings. Clearly defined review expectations and operational guidance can help support uniformity while allowing organizations to integrate evolving technologies into existing compliance and documentation structures.
Health care entities are also continuing to evaluate how relationships with third-party vendors fit within broader governance frameworks. Many AI-assisted documentation tools are developed and maintained by outside companies, yet the responsibility for maintaining accurate and complete patient records ultimately remains with the provider organization and its clinicians. As these technologies continue to mature, coordination between operational, compliance, legal and information technology teams is becoming more critical as to how such tools are implemented and monitored.
Looking ahead
Importantly, the growing use of AI-assisted documentation does not suggest that existing standards governing clinical records are becoming obsolete. Rather, it reflects the continued evolution of how health care organizations manage documentation within increasingly complex clinical environments. Existing principles involving review, oversight, authentication and record integrity remain applicable even as the underlying technology changes.
AI-assisted documentation will likely continue to become more integrated into routine clinical practice as health care systems seek to balance efficiency, provider workload, and patient care demands. For health care entities and their counsel, the more practical question is how governance practices are keeping pace with those technologies. Organizations that have integrated AI-assisted tools into clinical workflows have generally done so through thoughtful attention to implementation, clear review expectations, and operational consistency, all while maintaining the longstanding expectations associated with the medical record.•
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Llewellyn is an associate with Riley Bennett Egloff LLP.