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Predicting State Healthcare Quality – at Predictive Analytics World Healthcare – Oct 29 – Nov 2


In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare in New York, Oct 29–Nov 2, we asked Feras Batarseh, Research Assistant Professor, George Mason University a few questions about incorporating predictive analytics into healthcare.



Predictive Analytics World for Healthcare - The Quality of State’s Healthcare Using Big Data
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Feras Batarseh: Incorporating Predictive Analytics Into Healthcare

In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare in New York, October 29 – Nov 2, 2017, we asked Feras Batarseh, Research Assistant Professor, George Mason University a few questions about incorporating predictive analytics into healthcare. Catch a glimpse of his presentation, Evaluating the Quality of State’s Healthcare Using Big Data Analytics, and see what’s in store at the PAW Healthcare conference.




Q: In your work with predictive analytics, what area of healthcare are you focused on?

A:  In this upcoming talk, the focus will be: healthcare policy. The goal is to shed light on how data & predictive analytics can drive better decision making and provide better insights to policy making in healthcare and potentially other domains.

Q: What outcomes do your models predict?

A: The model that will be presented at PAW predicts the quality of service (QoS) of healthcare at states, cities, and counties across the country. The goal is to evaluate service, and find correlations of quality to certain policies and practices.

Q: How does predictive analytics deliver value at your organization? What is one specific way in which it actively drives decisions or impacts operations?

A: We are injecting predictive analytics at multiple federal agencies – and as an educational institution (GMU), we aim to spread the good news that the U.S. government can ‘function’ better through data science. Therefore, and based on that simple notion, a number of experts collaborated and published the book "Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence" to highlight, policy making through data science. Read the full answer here.

Q: Can you describe a successful result, such as the predictive lift of your model or the ROI of an analytics initiative?
Read the full answer here.

Q: What surprising discovery have you unearthed in your data? Read the full answer here.

Q: What areas of healthcare do you think have seen the greatest advances or ROI from the use of predictive analytics? Read the full answer here.

Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.

A: Through data science, the American public can be involved in healthcare policy making. Predictive analytics can empower the government to transforming from a government of bureaucracies and ‘black-box’ policy making to a government of data-driven processes; a difficult pursuit, but a compulsory one.


See Feras' presentation: Evaluating the Quality of State’s Healthcare Using Big Data Analytics, at PAW Healthcare on Monday, October 30, 2017, from 2:40 to 3:00 pm. 

What else will you see at Predictive Analytics World for Healthcare?

View the full agenda, surrounded by 7 Workshops and register today.


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