Human in the loop
What's Human-in-the-loop?
Puppeteer’s Human-in-the-Loop approach bridges the gap between advanced AI capabilities and human expertise, ensuring decisions align with healthcare standards. This collaborative framework combines the efficiency of AI with the critical thinking and adaptability of humans, delivering accurate, trustworthy, and patient-centered outcomes.
How Can It Be Accessed?
Providers can easily access this feature through the Chat History
. By selecting a specific conversation, they can seamlessly transition into the interaction, taking over from the AI to write and respond directly as a human. This intuitive process allows providers to intervene when needed, ensuring a smooth and personalized experience for patients.
Here's how it looks in Puppeteer's platform:

-> You can easily differentiate between messages sent by the AI and those sent by a provider through their respective icons. To respond as a provider, simply toggle the Provider Active
button located on the top bar. This enables you to seamlessly step into the conversation and engage directly with the patient when needed.

Key Features:
Decision Validation
Enables healthcare professionals to review and verify complex or high-impact AI decisions.
Examples:Approve medication recommendations or care plan adjustments.
Ensure compliance with clinical guidelines in non-standard cases.
Continuous Learning and Improvement
Integrates human feedback to refine the AI’s decision-making capabilities over time.
Examples:Adjust responses based on real-world scenarios flagged by providers.
Update the AI’s understanding of nuanced medical cases to improve future interactions.
Proactive Escalation Protocols
Automatically identifies interactions requiring human intervention, prioritizing patient safety.
Examples:Escalate cases involving severe symptoms or unclear patient responses.
Notify healthcare professionals for follow-up in unresolved or sensitive scenarios.
Why Human Oversight Matters:
Enhancing AI Precision
While AI excels at processing large volumes of data, human oversight ensures nuanced and context-specific decisions are made with care.Building Trust
Providers and patients can rely on a system where critical decisions are reviewed, fostering confidence in AI-powered workflows.Improving Outcomes
Combining AI efficiency with human expertise leads to more accurate diagnoses, personalized treatments, and higher-quality care.Adaptable to Change
Human-in-the-loop systems ensure AI evolves alongside medical advancements, organizational standards, and patient needs.
Benefits:
Accuracy and Reliability
Ensures AI decisions are cross-checked for quality and aligned with clinical best practices.Transparency and Accountability
Provides a clear process for human intervention, making the system more transparent and trustworthy.Optimized Workflows
Reduces the workload for healthcare teams by letting AI handle routine tasks while reserving complex cases for expert review.Scalable Expertise
Leverages human input to train and refine AI systems, allowing them to handle increasingly complex scenarios over time.