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BEGIN:VEVENT
DTSTAMP:20260715T161117Z
LOCATION:Rhinelander Gallery
DTSTART;TZID=America/New_York:20260324T164500
DTEND;TZID=America/New_York:20260324T181500
UID:HFESHCS_2026 International Symposium on Human Factors and Ergonomics i
 n Health Care_sess111_POST195@linklings.com
SUMMARY:Epilog: A Human Centered Design Proposal for Seizure Management
DESCRIPTION:Michelle Schroeders, Tanay Arora, Kailin Cui, and Anil Kumar (
 San Jose State University)\n\nEpilepsy is a chronic neurological disorder 
 affecting over 50 million individuals worldwide, that causes seizures whic
 h are difficult to manage and predict. The primary seizure management prot
 ocol depends on the person with epilepsy and their caregivers to track and
  report the epileptic events, medication, diet, exercise, and any other fa
 ctors that could be contributing to the frequency of events. One of the ma
 jor challenges that patients, caregivers, and healthcare providers face is
  the lack of commercially available and cost effective tools for reliably 
 tracking their events and the other contributing factors. Patients experie
 nce frustration with this process and are further irritated by the lack of
  insights gleaned from the recorded data. \n\nCurrently, there are a few m
 obile applications available on the market for seizure tracking and manage
 ment. A competitor analysis revealed a focus on self reporting to log seiz
 ures and medication schedules with some using biometric tracking for convu
 lsive seizures. In the commercially available applications, there is a maj
 or gap in data synthesis, non-convulsive episode tracking, and personaliza
 tion. Prior studies have demonstrated that wearable devices can detect con
 vulsive seizure activity which can be helpful for automatic seizure tracki
 ng and event logging. However, these advancements in existing research fai
 l to meet user needs of integrating and analyzing data in a meaningful way
  and providing actionable insights for preventative care. The outcome is t
 hat many users discontinue current tracking methods as the application doe
 sn’t provide seizure management insights. \n\nThis study employed a mixed-
 methods design process, comprising literature reviews, competitor analysis
 , a survey with 21 participants, and three interviews with patients and ca
 regivers. The main insights showed strong user demand for simple tracking,
  caregiver collaborations, and forecasting insights. Based on these findin
 gs, we developed EpiLog, a biometric-assisted mobile application that inte
 grates wearable data, environmental triggers (i.e., noise and heat), and l
 ifestyle tracking (i.e., sleep, period, medication, diet, and mood). EpiLo
 g’s main contributions are voice-assisted logging to reduce cognitive burd
 en, predictive text based on word frequency analysis, seizure risk forecas
 ting, and real-time caregiver alerts. The results demonstrate that biometr
 ic integration and user-centered design can change seizure management from
  reactive tracking to proactive prevention, improving independence, safety
 , and quality of life for individuals with epilepsy.\n\nTrack: Digital Hea
 lth, Hospital Environments, Patient Safety Research and Initiatives, Medic
 al and Drug Delivery Devices, Simulation and Education\n\n
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