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Rehabilitation providers and patients with acquired brain injury (ABI) see potential in AI-generated summaries for open notes, but both groups share concerns about accuracy and privacy. Patient-directed summaries could improve note utility, but AI implementation requires careful consideration of these issues.

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Area of Science:

  • Rehabilitation Medicine
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Patient-accessible electronic medical records, or
  • open notes,
  • aim to enhance patient engagement and understanding of their health information.
  • The integration of Artificial Intelligence (AI) into healthcare presents opportunities and challenges for improving documentation and patient communication.
  • Rehabilitation settings, which rely heavily on detailed clinical notes, are exploring AI's potential role.

Purpose of the Study:

  • To investigate the perspectives and experiences of rehabilitation providers and patients with acquired brain injury (ABI) regarding the use of AI in open notes.
  • To assess the potential of AI-driven solutions for enhancing the utility and understanding of clinical documentation for patients.
  • To identify key concerns and areas of agreement between providers and patients concerning AI in rehabilitation notes.

Main Methods:

  • A web-based survey was administered to rehabilitation providers (physical therapy, occupational therapy, speech-language pathology) and patients with ABI.
  • Participants were recruited from a large Midwestern healthcare system and via public professional lists.
  • The survey included multiple-choice, Likert-scale, and open-response questions on AI experiences and opinions related to clinical documentation.

Main Results:

  • Both providers and patients reported limited prior experience with AI in daily life and healthcare.
  • Common concerns included AI accuracy and data privacy for both groups.
  • While most providers were interested in AI for documentation support, patients with ABI showed more hesitation; however, both groups agreed on the value of patient-directed summaries for improving open notes utility.

Conclusions:

  • Patient-directed summaries of clinical notes show promise for enhancing the utility of open notes in rehabilitation.
  • Generative AI offers a potential method for creating these summaries efficiently, but significant concerns regarding accuracy and privacy must be addressed.
  • Further research is needed to explore AI's role in improving patient-provider communication within the open notes framework while mitigating associated risks.