A new graduate nurse with ADHD is missing important non-critical alarms (IV pumps, call lights) due to sensory adaptation and hyper-fixation during charting, leading to alarm fatigue.
Existing alarm systems are designed for typical neurotypical users and do not account for ADHD-related sensory adaptation or attention challenges. The alarms either fade into background noise or are not salient enough to break through hyper-fixation, and there is no personalization for individual users.
Implied Software Gaps
- Software that adapts alarm salience to the user's current attention state
- System that personalizes alarm delivery based on neurodivergent profiles
AttentionAware Nurse Alerts
An adaptive alarm management system that personalizes alert delivery for nurses with attention differences like ADHD. It uses AI to detect when the nurse is in a state of hyper-focus and escalates critical notifications via their preferred modality (visual, vibration, or audio) while suppressing non-essential ones until a safe moment.
- Personalized alert profiles with adjustable sensory modalities (vibration, visual pop-ups, distinct tones)
- AI detection of hyper-focus state based on charting activity and environment
- Priority-based alarm filtering to escalate critical alerts while holding non-urgent ones
- Integration with hospital systems (IV pumps, call lights, EHR) for unified alerts
- Self-learning algorithm that adapts to individual response patterns
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