Hallucinations — AI may invent instructions or mix up facts. ❌ “It’s safe to mix antibiotics with alcohol” — that’s something a poorly configured bot might say.
Excessive patient trust Patients might think the bot is “like a doctor” and skip an in-person consultation.
Data leaks or loss Without protection, patient data could end up in the wrong hands.
Faulty self-diagnosis A chatbot might suggest alarming conclusions (“sounds like cancer”) — causing panic.
How Platforms Like EvaHelp Address These Issues
1. Knowledge Control
Chatbot answers only from uploaded documents and knowledge bases.
Boundaries can be set: the chatbot doesn’t go beyond official instructions.
2. Ban on Diagnoses and Prescriptions
Eva allows setting restricted scenarios: if a user asks for a diagnosis → chatbot shows a neutral message:
“This information requires an in-person consultation. Please see a doctor.”
3. Data Protection
All conversations are stored in encrypted form.
Compatible with internal privacy policies (sensitive data collection can be disabled).
4. Transparency and Control
All answers can be edited, retrained, and monitored — via logs, analytics, and feedback.
Any dislike → can be replaced with the correct answer.
Ethical Rules for Using AI Chatbots in Medicine
AI is only a chatbot. Always.
Patients must clearly know they’re talking to a bot, not a doctor.
All scenarios should be reviewed by medical professionals.
In case of doubt, escalation to a human is mandatory.
No hidden advice or unproven treatments.
Conclusion: Responsible AI
AI chatbots in medicine can be powerful tools for:
supporting patients,
reducing stress,
increasing doctors’ efficiency.
But only if they work within boundaries, under control, and with ethics.
That’s exactly what a platform like EvaHelp provides — an infrastructure for introducing AI chatbots into healthcare consciously and safely, not randomly.