Feeding relevant historical information into each new interaction with an AI tool so it can make decisions based on the full picture, not just what's in front of you today. This practice prevents the AI from treating each conversation in isolation and helps it understand why past decisions matter to current care.
Longitudinal context feeding is the practice of systematically passing historical care data into each new AI session so the model understands the full timeline of a care situation, not just the current moment.
Because most AI tools do not retain memory between sessions, caregivers who learn this technique get far more accurate and personalized outputs, especially when managing chronic conditions that evolve over months or years.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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