Abstract
The University of Central Florida invention is a method and system for predicting the completeness of data in telehealth systems and capturing the true sentiments of patients. It increases the possibility of improved healthcare outcomes and enables healthcare providers to offer a greater quality of care overall.
Telemedicine, or telehealth, is one of the newest innovations in medical technology, enabling practitioners to communicate with their patients over the phone, video conferencing, or chat. However, clinical data and sentiments are often not reflected in a practitioner’s analysis and diagnosis of patients. The UCF prediction system resolves the data incompleteness in telehealth. By using telehealth natural language processing (NLP) and AI-enabled systems, the system processes the sentiments of patients and the data incompleteness found in conversations.
Partnering Opportunity
The research team is seeking partners for licensing, research collaboration, or both.
Stage of Development
Prototype available.
Benefit
Allows medical practices to resolve data incompleteness in telehealth Enables telemedicine groups and systems to process and further understand transcript dataProcessing considers emojis and emoticons and maps each into Unicode charactersMarket Application
Software for healthcare managers or healthcare facilities that use telemedicine systems
Brochure
