AI use in electronic health records (EHRs) documentation is increasing, with significant potential in psychiatry. This session describes key AI technologies include machine learning and natural language processing in the form of dictation devices, streamlined EHR systems, human scribes, and AI scribes. Speakers will also discuss advantages of using AI scribes, its cost-effectiveness, patient satisfaction and ethical and data privacy concerns.
Learning Objectives
- Understand the Role of AI in EHR Documentation: Explain the various AI technologies used in clinical documentation, such as machine learning and natural language processing.
- Identify the Benefits of AI Scribes: Discuss how AI scribes can reduce healthcare provider burnout and improve efficiency in clinical documentation.
- Evaluate the Impact on Patient Care: Analyze how AI scribes affect patient-physician interactions, patient satisfaction, and the quality of clinical notes.
- Explore Implementation Challenges: Identify the training and adaptation challenges associated with integrating AI scribes into clinical practice.
- Address Ethical and Privacy Concerns: Discuss the ethical considerations and data privacy issues related to the use of AI in psychiatry.