Patient Safety
Patient harm prevention built into infrastructure. Crisis detection in real-time. Medical advice guardrails. Seamless human escalation. Safety that protects patients — not just checkboxes.
The Safety Imperative
AI in Healthcare Can't Afford to Get It Wrong
Patients tell AI things they don't tell their doctors — cost barriers, medication changes, side effects, emotional distress. Research shows patients often share more with AI systems than human providers, particularly for sensitive or stigmatized topics. Some of those disclosures require immediate human attention. Every conversation carries responsibility.
- AI Crisis Detection
- 89.3%
- Suicidal Ideation Detection
- 93.5%
- Early Detection Advantage
- 7.2 days
Safety Capabilities
Protecting Patients from Harm
Every conversation monitored. Every risk detected. Every escalation immediate.
- Crisis Detection
- Suicidal ideation, self-harm mentions, domestic violence indicators, abuse disclosures. The platform detects crisis signals and escalates to trained responders within seconds — not minutes.
- Medical Advice Guardrails
- AI should never diagnose, prescribe, or recommend treatment changes. Hardcoded guardrails prevent the platform from giving medical advice. Clinical questions redirect to appropriate resources.
- Emotional Distress Recognition
- Frustration, confusion, anxiety, despair — the platform recognizes emotional states and adapts. Some situations need slower pace and empathy. Others need immediate human connection.
- Adverse Event Detection
- "Ever since I started that new pill, I can't stop coughing." Potential adverse events identified in conversation, flagged for clinical review, documented for pharmacovigilance.
- Vulnerable Population Protections
- Cognitive impairment, language barriers, health literacy challenges. The platform adapts communication and triggers caregiver involvement when appropriate.
Crisis Response
When Seconds Matter, the Platform Acts
Crisis detection isn't keyword matching. It's understanding context. "I want to die" means something different when followed by "of embarrassment" versus silence. The platform understands the difference.
When genuine crisis is detected, the response is immediate and automatic: conversation transferred to crisis-trained staff, patient information surfaced for context, care manager notified instantly, documentation generated, follow-up task created.
Every crisis interaction is logged, reviewed, and used to improve detection. The platform learns from edge cases to catch the next one faster.
- Contextual Understanding Not just keywords — real comprehension
- Immediate Escalation Trained responders notified in seconds
- Automatic Documentation Full context captured and logged
Hard Guardrails
What the AI Will Never Do
Some boundaries are absolute. No exceptions. No workarounds. No configuration to override.
- Never Diagnose
- "It sounds like you might have diabetes" will never come from this platform. Symptoms get documented and routed to clinicians. Diagnosis is for doctors.
- Never Prescribe
- "You should try a higher dose" is off-limits. Medication changes require clinical judgment. The platform facilitates connections, not treatment decisions.
- Never Override Clinical Judgment
- When staff mark a patient as "do not contact" or "clinician managing," the platform respects it. Human judgment always takes precedence.
- Never Dismiss Concerns
- "I'm sure it's nothing" isn't in the vocabulary. Patient concerns get documented and routed appropriately — never minimized, never ignored.
Seamless Escalation
AI Knows Its Limits. Humans Take Over Seamlessly.
The best AI knows when to step aside.
Complex medical questions? Route to pharmacist. Emotional distress? Transfer to care manager. Billing confusion? Connect to financial counselor. The platform matches situations to the right human expertise automatically.
Escalations aren't cold transfers. Staff receive full context before they say hello: conversation history, patient background, detected concerns, suggested next steps. They're prepared to help immediately.
- Contextual Handoff Staff see the full picture instantly
- Skill-Based Routing Right concern to right expertise
- Warm Transfers Patients never feel abandoned
AI Safety Research
Built on Proven Detection Methods
- 89.3%
- Crisis Detection
- AI accuracy (PMC research)
- 93.5%
- Suicidal Ideation
- detection accuracy
- 7.2 days
- Early Warning
- ahead of human experts
- 80%
- Suicide Prediction
- Vanderbilt model accuracy
Continuous Improvement
Safety That Gets Smarter
Every escalation is reviewed. Every edge case analyzed. Every near-miss becomes a learning opportunity. The platform's safety capabilities improve continuously based on real-world interactions.
When new risks emerge — new drug interactions, new crisis patterns, new clinical guidelines — the platform adapts. Safety isn't a one-time implementation. It's ongoing vigilance.
- Continuous Learning Every case improves detection
- Pattern Recognition New risks identified faster
- Proactive Updates Safety evolves with healthcare
See Safety in Action
30-minute walkthrough with our team. See how patient safety is built into every conversation, every escalation, every workflow.