University of Florida · Biomedical EngineeringDelirium Monitoring and Intervention Lab
Parisa Rashidi · Gainesville, Florida
Research Focus
Dr. Parisa Rashidi's lab focuses on improving patient care in intensive care units by developing advanced technology for monitoring delirium, a common and serious condition in hospitalized patients. The lab is creating a system called ADAPT that uses sophisticated algorithms and sensors to track patients' mobility and sleep patterns, helping healthcare providers intervene effectively. The research aims to enhance clinical decision-making and ultimately improve patient outcomes in critical care.
deliriumdeep learningpatient monitoringcircadian rhythmscritical carenon-pharmacological therapyreal-time dataICU technologyadaptive interventions
Research Aims
3AIM 01Develop an interpretable deep learning algorithm for predicting delirium trajectories.
AIM 02Create a sensing system to autonomously monitor patient mobility and circadian rhythm disruptions.
AIM 03Evaluate adaptive prompts for preventing delirium using real-time monitoring.
Skills the Lab Values
deep learning algorithm developmentsensor data integrationclinical data analysispredictive modelinguser satisfaction surveysalgorithm validationreal-time systems monitoringdata visualizationincremental learning techniques
Output against the department
Publications273top 35% of dept.209th of 595
this lab
most publishedleast published
Citations11ktop 32% of dept.190th of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.