Heritage Health Prize Vanessa Haen Emma Mc. Hugh Carlina Santana
Improving Health Care �the US spends an estimated $2 trillion annually on healthcare expenses �In 2006 well over $30 billion spent by Americans in avoidable hospitalizations such as unnecessary hospital admissions
Heritage Provider Network (HPN) Heritage Health Prize �Offering a prize for being able to predict the number of days a patient will stay in a hospital in the next year. �They will use the winning algorithm to improve healthcare. �Some of the data provided includes patient numbers, condition, and days in hospital.
Heritage Health Prize �Improve Healthcare �Identify patients who will be admitted to a hospital within the next year, using historical claims data. � Can we identify earlier those most at risk and ensure they get the treatment they need? Main Question: Predict the number of days a patient will spend in a hospital in the next year.
Possible Topics �Using HPN’s data to predict future events �Days of stay in hospital �Trends within conditions �How often a condition takes place �Identifying which conditions are most as risk
Our Questions �We are going to try and use graphs to show the trends of days admitted into the hospital. What other graphs could we create and analyze? �How to choose what reason we should focus on for admission?
Additional Questions �How would findings improve health care in the US? �Can we identify those conditions/people most at risk? �Are there patterns or increases in different conditions? �What else could we use the data to find?