Artificial intelligence in neuropsychological practice-tool selection, privacy, and billing guidance

Area of Science:

• Neuropsychology
• Artificial Intelligence
• Clinical Psychology

Background:

• AI integration in healthcare is advancing rapidly.
• Clinical neuropsychology has seen limited and uneven adoption of AI tools.
• Existing AI applications in neuropsychology require careful evaluation for clinical utility and ethical compliance.

Purpose of the Study:

• To explore the current landscape of AI tools applicable to neuropsychological practice.
• To provide practical guidance for clinicians and trainees on the responsible use of AI.
• To examine the regulatory and ethical considerations of AI integration in clinical workflows.

Main Methods:

• Review of ambient scribing technologies, large language models (LLMs), and input-based systems.
• Analysis of AI tools for documentation and report generation.
• Examination of HIPAA compliance, data privacy, billing, and responsible use policies.

Main Results:

• AI tools can enhance efficiency and accessibility in neuropsychological practice.
• Thoughtful and transparent adoption of AI is crucial.
• Maintaining core professional values like accuracy and patient-centered care is paramount.

Conclusions:

• Neuropsychologists can leverage AI to improve practice.
• Guidelines and resources are provided for responsible AI implementation.
• Emphasis is placed on maintaining clinical oversight throughout AI integration.