The Future of Trust in Behavioral Health AI
The Future of Trust in Behavioral Health AI By Allison Sikorsky, DNP, PMHNP-BCFounder & CEO, PMHScribe For most of my career, finding good information was relatively straightforward. If I had a question about psychiatric care, documentation, or a new technology, I searched for it, reviewed the evidence, and made a clinical decision. Lately, I’ve noticed […]
What I’ve Learned About AI, Burnout & Human Connection in Behavioral Health
What I’ve Learned About AI, Burnout & Human Connection in Behavioral Health By Allison SikorskyFounder & CEO, PMHScribe When I first started talking with psychiatrists, PMHNPs, therapists, and behavioral health practice owners about AI documentation, I assumed most of our conversations would revolve around technology. They didn’t. Rarely did someone ask me about machine learning, […]
The Four Types of Documentation Burden in Behavioral Health
The Four Types of Documentation Burden in Behavioral Health What Building an AI Scribe Taught Me About Why Mental Health Providers Feel Exhausted By Allison Sikorsky, PMHNP For years, I thought documentation was the problem. Like many psychiatrists, PMHNPs, and therapists, I spent evenings finishing notes and weekends catching up on charts, spending far too […]
AI Won’t Replace Clinical Judgment: What Behavioral Health Providers Should Know About AI Documentation
AI Won’t Replace Clinical Judgment: What Behavioral Health Providers Should Know About AI Documentation By Allison Sikorsky, DNP, PMHNP-BC, Founder & CEO, PMHScribe When people talk about AI in healthcare, the conversation usually starts with efficiency. How much time can it save? How many notes can it generate? How much documentation can it automate? As […]
The Cost of “Free” Ambient AI:
The Cost of “Free” Ambient AI: Protecting Mental Health Data in Psychiatric Documentation The rapid adoption of ambient AI scribes in behavioral health has transformed how psychiatric clinicians manage daily administrative tasks. However, the rise of free AI tools has introduced critical security risks regarding patient data privacy and HIPAA compliance. Mental health records contain […]
Why Psychiatric Documentation Requires a Different Kind of AI Scribe
Why Psychiatric Documentation Requires a Different Kind of AI Scribe Not all clinical documentation is created equal. A typical primary care visit and a psychiatric medication management appointment may both require documentation, but their structure, clinical considerations, and regulatory requirements often differ significantly. Yet many behavioral health providers still rely on AI scribes originally built […]
Ethical AI in Mental Health: Data Privacy, Algorithmic Influence, and the Hidden Cost of “Free”
Artificial intelligence is rapidly becoming part of mental health care. It can organize clinical information, summarize encounters, and generate language that appears efficient, neutral, and clinically useful. But in psychiatry and mental health care, language is not passive. The words used to describe symptoms, diagnoses, and treatment options can shape how patients understand themselves and […]
Responsible AI in Psychiatry: Applying the NIST Framework to PMHScribe
Artificial intelligence is becoming part of everyday clinical workflows, especially in mental health documentation. In psychiatry, accuracy, nuance, and privacy are not optional. They are foundational. Any system that generates clinical notes must operate with a high level of responsibility, transparency, and clinical alignment. PMHScribe was built with this in mind. Rather than treating AI […]
How the American Psychological Association Recommends Evaluating AI Scribes
APA Assessment of AI Scribes in Behavioral Health How the American Psychological Association Recommends Evaluating AI Scribes AI Scribes A Clinician Question-and-Answer Guide Using the APA’s Official Framework As artificial intelligence scribes become more common in behavioral health, clinicians often search for terms like “APA AI scribe evaluation,” “APA grading of AI scribes,” or “APA-approved AI […]