Data Analytics of Healthcare Data for Meaningful Results

Data Analytics of Healthcare Data for Meaningful Results

Wednesday, Dec. 7th, 2016, 5:30pm to 7:00 pm

Afflito Room, Students Center, 3rd floor, Monmouth University

Analyzing and presenting collected data for meaningful results is a complex problem when the audience has different requirements. Providing the same analysis for all users may not meet their essential needs, while customizing for each user would be cost prohibitive. The goal of the research project was to research, identify, evaluate and select the appropriate data analytics tool for analysis and presentation of large volume of data in a healthcare patient copay services application.

The talk will present the various sources of data, relationships between them, complex analysis models to meet the needs of various users, and demonstrate real time analytics. Feedback from users and productizing of the project will also be

Location: Monmouth University

Leon Hess Business School Building

Bey Hall Room 222

5:30 to 6:00 pm Networking

6:00 to 7:00 pm Presentation

7:00 to 7:30 pm Closing Remarks