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In this session, attendees will see how we did just that for South Nassau Communities Hospital, a not-for-profit hospital on Long Island. They will gain first-hand insights on merging big data with hospital data and client-specific research to predict market trends, increase market share and provide patient value.
Imagine utilizing predictive analytics and interactive mapping to identify unsaturated market areas full of unmet patient demand, overlay ideal payer mix projections, and forecasting future financial success. Healthcare providers can now create predictive, neighborhood level strategic plans for optimization of urgent, FEDs, primary/specialty care practices and even micro-hospitals.
"All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self-evident." For healthcare strategists today, this quote from the German philosopher Arthur Schopenhauer reflects the relationship between skepticism and the process of collecting, analyzing, and interpreting data as a means to better decision making.
Monte Carlo simulation involves recreating an environment of interest in a computer program capable of analyzing the impact of changes to that environment in a risk free manner
The purpose of this project was to give an overview and highlight how using modeled data, in combination with intelligent data pre-selects, can optimize response rates for patient and non-patient targeted marketing campaigns.
In partnership with executives from New Mexico Health Connections, this session will also explore the theoretical aspects and the day-to-day use of predictive analytics.
This webinar will explore the basics of predictive modeling, two types of models, steps to take after models, and campaign strategies and testing.