Lavender Shift Work Sleep Disorder Platform (2024-25)

Lavender is a web application that is designed to address the challenges of shift work sleep disorder, which is a circadian rhythm sleep disorder characterized by disturbances in sleep patterns and excessive sleepiness due to working non-traditional hours or rotating shifts. Lavender serves as a bridge between patients and their sleep psychologist provider. By allowing patients to input their daily sleep data into a sleep diary, the application automates the process of data collection and analysis. Lavender also generates optimized sleep schedules tailored to a patients’ work and scheduled activities that allows for combating insomnia and fatigue.

Last year, a capstone team established the foundations of Lavender, including a basic web application powered by React and Google Firebase. However, much work remains to be done to make Lavender into a usable platform for patients and providers, including the implementation of several features in both the front end and back end of the web application, as well as continued research and development for a constraint optimization-based algorithm for automated sleep schedule creation. In addition, a production deployment of the application must be created.

This project is co-mentored by Dr. Jessica Dietch, a Professor in OSU's School of Psychological Science specializing in sleep psychology.

Objectives


A production-ready deployment of the Lavender web application, suitable for use by patients and their providers.

Motivations


Individuals with shift work sleep disorder often experience difficulty falling asleep and maintaining sleep, which can lead to chronic sleep deprivation and impairments in cognitive function and overall well-being. Symptoms typically include insomnia, excessive daytime sleepiness, fatigue, and difficulty concentrating. Through facilitating easier patient-provider connectivity and streamlining data analysis, Lavender aims to enhance the accuracy and accessibility of sleep statistics such as time in bed, time slept, and frequency of awakenings, ultimately offering a holistic solution to managing shift work sleep disorder by aiding in both the patient and provider sides.

Qualifications


Minimum Qualifications:
  • Experience developing web applications using React
  • Experience with data storage and backend development

Preferred Qualifications:
  • Experience with Google Firebase
  • Excellent UI/UX design skills
  • Interest in ideas from the study of sleep psychology


Details


Project Partner:

Rob Hess

NDA/IPA:

No Agreement Required

Number Groups:

1

Project Status:

Accepting Applicants

Keywords:
WebDatabaseHCI / UX / UIReactConsultancy
Card Image Capstone