Novo Nordisk
Sickle Cell Disease Patient-Provider Match Tool
As a sickle cell disease patient (SCD), finding the right provider can sometimes be an extremely difficult challenge. Complicating factors such as cultural differences, medical biases, lack of disease knowledge, proximity to a care center, financial hardship, can all lead to a situation of suboptimal care. To help mitigate these factors, this student team will work to design and develop an application that recommends and matches SCD patients to high-value SCD providers – providers who have demonstrated a robust knowledge of the disease state and have a standout record of treating this disease. This would be a readily available smartphone application which would have the capability to understand the exact clinical and behavioral situation of the patient, and then recommend the patient to a provider or hospital which has scored on quality measures to match to the patient specific needs. Some of the key objectives this student team will work to evaluate when designing the SCD tool include: • Data models focused on SCD treatment • Analysis of national, regional, and/or local hospitals and payers to determine the care data associated with treating SCD • The data model ideally would be capable of scraping and ingesting treatment data from hospitals, providers (and payers?) to empower patients to understand the differences in receiving care. • Care descriptions/details should be reflected as a care score based on quality features of the provider/hospital as well as economic factors, location, disease state experience. The outcomes this student team will work to achieve are: • A working prototype, end-user platform. • A solution that is accessible from desktop, tablet, smartphone • A name and/or branding for tool • Optimized user-centric (patient) designs and workflow (UX)
Faculty Adviser
Mahmood Hameed,
Assistant Teaching Professor,
Electrical & Computer Engineering
Students
Bowen Shu
Chengyuan Guo
Jason Tran
Jingxian Chen
Mingzhuo Ma
Mo Kahil
Yangyang Wu