Invention:
Neurologic, Orientation and Verbal Assessment of Delirium (NOVAD) is a smart-EMR screening tool designed to detect delirium in hospitalized adults. NOVAD leverages assessments that nurses are already familiar with to provide an early warning system for delirium detection, empowering healthcare professionals with actionable insights, leading to timely interventions and improved patient outcomes. With NOVAD, healthcare facilities can mitigate the risks associated with undetected delirium, such as increased morbidity and mortality rates, prolonged hospital stays, and higher healthcare costs. By seamlessly integrating into existing workflows, NOVAD offers a user-friendly solution without any additional testing and uses current EMR workflows to act as a warning system for delirium detection.
Background:
Delirium, often underdiagnosed or detected late, poses significant risks to patient health and outcomes. Current solutions rely heavily on manual assessments, which can be subjective, time-consuming, and prone to human error. Additionally, existing technologies lack seamless integration into clinical workflows, hindering efficient delirium screening and intervention. In contrast, NOVAD offers a transformative approach by leveraging smart-EMR technology to streamline delirium screening. By utilizing assessments already performed by nurses, NOVAD seamlessly integrates into existing workflows, enhancing efficiency and accuracy. Its early warning system functionality enables prompt detection of delirium, empowering healthcare professionals to initiate timely interventions. Through its user-friendly interface and proactive approach, NOVAD sets a new standard in delirium management, addressing the shortcomings of current technologies and ensuring optimal patient care.
Applications:
- Delirium detection
- Hospital medicine
- Geriatric care
- Critical care
- Psychiatry
Advantages:
- Early detection of delirium leads to timely intervention and improved patient outcomes
- Seamlessly integrates into existing workflows, minimizing disruption to clinical processes
- Reduces reliance on subjective manual assessments, enhancing accuracy and consistency
- Integrates into current EMR workflows without additional testing
