Market Overview:
In the United States alone, more than 11.1 million people have contracted COVID-19. Managing the infection rate relies on symptom tracking of populations. However, most healthcare facilities, which are comprised of multiple providers serving diverse patient populations, do not have the capability to simultaneously monitor individuals and the population at large. This situation makes it difficult to formulate and initiate informed decisions about the safety measures needed to keep the infection rate low. To address this issue, Clemson University researchers have developed software that allows for collective symptom tracking of populations, giving healthcare practitioners both individual and population-level health data. As COVID-19 affects increasingly more populations, the relationship between symptoms and results will become more complex and difficult to analyze, making this software even more critical.
Application Stage of Development
COVID-19, Symptom Tracking, Proof of concept
Software, Precision Health
Advantages
- Provides a tool for healthcare practitioners to quickly identify at-risk individuals
- Can be utilized by electronic health record companies looking for applications to add to their current systems
- Allows for tracking on a multi-organizational level, a key distinction from other applications currently being developed
Technical Summary
This technology features an engaging patient interview in a conversational format that allows for individual and collective symptom tracking of populations. It provides a way for healthcare providers and administrators to quickly identify at-risk patients and advise them on appropriate precautions and treatment, while at the same time streamlining the monitoring and analysis process for patient populations. The modular format of the software gives administrators and supervising healthcare providers the ability to select the patient data and analytics profiles most relevant for their organizational needs.
View printable PDF version of this technology
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Inventor: Jordon Gilmore, Nancy Meehan, Jerome L. McClendon
Patent Type: N/A
Serial Number: N/A
CURF Ref No: 2021-015