Are we truly foreseeing the Impact of AI Medical Documentation Practices for Healthcare Providers?

Are we truly foreseeing the Impact of AI Medical Documentation Practices for Healthcare Providers?

AI is the newest technology being introduced in many fields, including the healthcare industry. The integration of artificial intelligence (AI) into medical practice (i.e., medical charting) is gaining traction, and for many, it has the potential to revolutionize current healthcare documentation practices or so the experts think. Conversely, that enthusiasm should be tempered because it also raises significant concerns regarding medico-legal liabilities for us—the practicing healthcare providers. This critical, researched analysis sought by this author explores the implications of AI in medical charting and the potential rise in medical malpractice insurance premiums and examines whether there have been any tried cases in the USA related to wrongfully AI-generated medical charting documentation so far.

Introduction

As healthcare systems increasingly adopt AI technologies for medical charting, the accuracy, efficiency, and reliability of patient records are expected to improve. However, the use of AI also introduces new complexities in accountability and liability. This overview discusses the potential legal ramifications for healthcare providers, the implications for malpractice insurance, and the current legal landscape of any cases involving AI in medical documentation-related litigation in the US.

Foreseeable Medico-Legal Liabilities-

Accountability and Responsibility

One of the primary concerns of legal scholars and clinical Risk managers regarding AI medical charting is who is held accountable. If an AI system generates an inaccurate or incomplete medical record, determining liability becomes challenging at this juncture so far. Traditionally, healthcare providers are held responsible for the accuracy of their documentation. However, with AI systems involved, it may be unclear whether the provider, the software developer (AI engineer), or the institution bears responsibility for those errors. It stands to reason that is the crux of the problem in AI's nascent course thus far.

The Standards of Care

Some industry experts theorize that the introduction of AI in medical charting may also affect the established standards of care. If providers rely heavily on AI-generated documentation, they may inadvertently lower their vigilance in reviewing and verifying patient records. This could lead to a situation where providers are held liable for failing to meet the expected standard of care, especially if the AI system fails to capture critical patient information and there's an adverse clinical outcome for the patient.

Informed Consent and Disclosure

In addition, all providers must also consider how AI impacts informed consent and patient disclosure. If AI systems generate treatment plans or recommendations, patients may need to be informed about the role of AI in their care. Failure to disclose this information could lead to legal challenges and entanglements, particularly if a patient feels misled or misinformed about the nature of their treatment or anticipated recommended procedural interventions.

What about Medical Malpractice Insurance premiums?

Potential Increase in Premiums

As the use of AI in medical charting becomes more prevalent, there is a possibility that medical malpractice insurance premiums could rise. Insurers may perceive the integration of AI as an increased risk, leading to higher premiums for providers. This could be due to the potential for more claims arising from AI-related errors or the complexity of determining liability in cases involving poorly AI-generated documentation entries.

Will Professional Liability Insurance Carriers adapt?

Insurance companies may need to adapt their policies to account for the unique risks currently anticipated and associated with AI in healthcare. Potentially, this could involve creating new coverage options or adjusting existing policies to address the legal charting nuances of AI technology. Unfairly, many providers may find themselves facing higher costs as insurers seek to mitigate and pass on their risk exposure to medical providers. Time will tell how this will all play out in the legal arena as time progresses. Definitely an anxiety-provoking feeling in the medical community's mind at this point so far.

Tried Cases in the USA

Current Legal Landscape

As of October 2023, the legal landscape surrounding AI in medical charting is still evolving. While there have been discussions and theoretical concerns about liability, few cases have been tried specifically addressing AI-generated medical documentation in the USA. However, as AI technology continues to advance and become more integrated into healthcare, legal cases will likely emerge in the near future.

Precedent Cases

Some cases involving AI in healthcare have begun to surface, focusing on issues such as diagnostic errors or treatment recommendations made by AI systems. These cases may set important precedents for how courts interpret liability and accountability in the context of AI. As these legal battles unfold, they will provide valuable insights into the implications of AI in the medical charting landscape.

Conclusion

The integration of AI in medical charting presents both opportunities and challenges for healthcare providers. While it has the potential to enhance efficiency and accuracy, it also raises significant medico-legal liabilities that must be both carefully considered & navigated. Providers must remain vigilant in their documentation practices and consider the implications of AI on their legal radar & responsibilities. As the legal landscape continues to evolve, it will be crucial for providers to stay informed about emerging cases and adapt their practices accordingly to mitigate potential liabilities.

Robert Blumm

Surgical PA, Educator, Author, Conference Speaker, Past President five Associations, PA/NP Advocate, Vietnam Veteran, Retired

2mo

A brilliant discussion, Marcos. My wife wanted me to write on this topic for next month but after reading your missive; I would sound like a HS student. You covered all the bases and this is a valuable contribution to physicians, PAs and NPs.

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Especially since dictated notes are frequently not reviewed for errors.

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