Loyal is building healthcare’s first digital patient experience platform. We believe consumers deserve to have confidence in their healthcare journey instead of confusion and frustration. That is why we partner with the nation’s leading health systems to empower patients with the information and guidance they need to make better healthcare decisions.
There is great interest by Loyal’s AI Labs team to expand on its text analytics capabilities across the product suite. Extracting actionable insights, sentiment-related information, breakdowns and summaries from textual comment data are current problems we are interested in exploring more deeply.
This internship will follow a similar structure to a research paper:
- problem overview/definition;
- summary of existing work;
- proposed approach and methodology (algorithmically, data collection and data sources used, implementation and hardware, etc.);
- results and analysis
Part of the internship work involves deciding on what the best approach actually is for solving these various analytics tasks. The approaches will then be implemented within the current technology stack used by the company.
Additionally, depending on how long this task takes, a stretch goal could be to work directly with the company’s chatbot product to expand on its knowledge base and to improve its predictive performance.
Exciting, interesting work impacting the healthcare space
Productionized code and results that could be used on numerous healthcare websites
Target Academic Level
A student pursuing at least a Master’s degree in a related technical field (Computer Science, Electrical/Computer Engineering, Mathematics, Physics, etc.)