Use when: Incorporating AI to streamline healthcare operations.
How it works:
Conduct a strategic design session to imagine the potential roles of AI without technical constraints.
Determine AI's comprehensive access needs, such as patient data, medical history, and real-time updates.
Define AI capabilities: communication (talk, text, surveys), report generation, task automation, and monitoring.
Tip: Ensure AI acts as a contextual bridge, not just answering queries but coordinating patient-clinic interactions.
Use when: Creating responsive and context-aware AI systems within healthcare.
How it works:
Develop a system of signals and triggers that activate specific AI behaviors.
Design these signals to originate from various sources, such as monitoring algorithms, alerts, and consultations.
Example: On receiving a signal (e.g., doctor's remark), AI checks relevant data and updates records or schedules for approval.
Tip: Maintain strict adherence to security protocols to safeguard patient information throughout AI interactions.
Use when: Deploying AI in sensitive environments requiring stringent safety measures.
How it works: