How Artificial Intelligence is Changing Mental Health Care
Audio Version
Ages ago we probably would not have considered the use of Artificial Intelligence (AI) in the mental health world. Though, with the advancement in AI within essentially every career field, we are now starting to see the rise on this side of the house. The range of use possibilities within AI is insurmountable and that is why many colleagues in the field are becoming a bit terrified. With everything in life we as providers have to look at every addition as just that, an additional tool.
To speak clearly, we are not being replaced.
But as with any new tool, understanding its benefits, limitations, and ethical implications is key.

How AI is Being Used in Therapy
AI is showing up in mental health care in several ways:
-
Screening and Assessment – Many EHR systems have begun adding various AI powered questionnaires, to aid in the diagnosis process, to make it easier for providers to cross reference assessment tools and evaluations.
-
Session Transcription and Analysis – Some platforms can transcribe sessions and highlight key themes or changes in mood over time, to help better assist providers in recognizing patterns in the client’s symptoms.
-
Scheduling and Billing Automation – Some solo practitioners who are just getting started often find it difficult to pay for administrative support. Many platforms allow you to enable AI powered virtual assistants within your scheduling and billing platforms to reduce administrative workload so providers can focus more on client care.
-
Chatbots and Mental Health Apps – Apps like Woebot or Wysa offer cognitive-behavioral therapy based conversations for support between sessions (though not a replacement for a licensed provider). Some individuals are only able to access this kind of platform for mental health services.
Technology and AI are influencing the future of therapy in diverse ways and it is important for us as providers to remain abreast of the changes and how we can adjust to the changes in times.
Benefits of AI in Mental Health
-
Increased Access – AI powered platforms can help reach people in rural or underserved areas. Many clients are unable to access mental health care either due to financial strains or being uninsured.
-
Time Savings – Automating intake forms, reminders, and progress notes frees up time for direct client interaction and care.
-
Enhanced Insights – AI can spot patterns in session notes or assessments that might otherwise be missed.
Often, practicing providers are so focused on the day to day demands of client care that it becomes difficult to step back and review data from a truly holistic perspective. The reality is, most clinicians simply don’t have the time. As a result, we often rely on correlational connections throughout treatment.
Recent research from Stanford University highlights how AI in mental health care can help bridge this gap. By processing large amounts of data quickly, AI tools give clinicians valuable insights that support personalized psychiatric treatment and more effective care for every individual.
Ethical Considerations
Human oversight is beyond necessary, AI should never replace a clinician, but rather serve as a supportive, assisted tool. While AI can offer valuable insights, it is equally important to carefully consider all ethical implications before integrating it into practice.
-
Informed Consent and Transparency: Inform clients about the purpose, risks, and benefits of AI tools in a clear manner.
-
Data Privacy and Security: Ensure AI tools comply with HIPAA and other data privacy regulations.
-
Bias Mitigation: Critically evaluate AI systems to address potential biases and avoid contributing to health disparities.
-
Accuracy and Reliability: Verify the accuracy of AI generated content and critically evaluate any tools recommended to clients.
-
Professional Responsibility: Accept liability for final decisions and ensure competence in understanding AI systems.
Practical Tips for Therapists Considering AI Tools
-
Choose HIPAA-compliant platforms, though also being mindful of how much you disclose on any platform
-
Test tools internally before introducing them to clients.
-
Clearly explain AI use to clients and obtain informed consent.
-
Keep your skills and ethical knowledge up to date with continuing education and research
