PAI is specifically designed to prevent the storage of personally identifiable information (PII) about patients. When you include details in a chat that could identify an individual, such as a patient’s name or date of birth, PAI will pause the conversation and ask you to rephrase your message without identifying information.
This data protection feature exists because PAI doesn’t need patient identifiers to provide excellent educational information. Our AI assistant can deliver evidence-based responses and general guidance using non-identifiable descriptions such as “a middle-aged case ” or “a scenario involving knee pain ”. By preventing PII from being stored, PAI eliminates data protection risks for both your patients and you as a clinician, helping you maintain professional standards automatically.
Tip: If you want to search for PAI conversations later, label topics using a consistent anonymous reference (e.g. “case #12345” or “shoulder rehab A1”) rather than using identifiable details.
Built different: PAI vs general AI assistants
Most general-purpose AI assistants like ChatGPT, Gemini or Claude will accept and store any information you provide, including patient names and identifying details. This creates potential privacy violations and compliance risks for healthcare professionals. PAI is purpose-built for physiotherapists with PII blocking hardwired into the system, providing protection that doesn’t exist in general AI tools.
If your conversation is paused, simply rephrase your question without including identifying information. Instead of “I’m seeing Mrs. Jones who has chronic back pain,” try “What are common considerations for chronic low back pain in young women?” You can still include general details such as symptoms, history, examination findings and contextual factors for learning purposes — just avoid names, dates of birth or any identifying information.