According to Press Ganey’s Physician’s Office and Outpatient Pulse 2007, a widely used report
in health care industry, on time appointment performance in ambulatory surgery is one of the
most important factors with respect to patient satisfaction. However, how to best optimize the
O.R. scheduling has been a long standing, highly debated issue within the healthcare industry.
The goal of this analysis is to look at the characteristics of U.S. hospitals to see if hospitals in certain geographical regions shared common features, particularly in the Northeast versus other areas of the country. The data used were taken from the HIMSS Analytics Database, which comprises data from over 5,000 hospitals. Specifically, we focused on variables relating to finances, quality of care and service metrics, and types of technology used by the facility.
Due to lack of technical expertise and resources John Snow, Inc. (JSI) has had difficulty understanding the Reproductive Health Interchange database and creating a more cost efficient contraceptive procurement process. Our goal was to use explanatory data mining techniques to gain a better understanding of the driving input variables and suggest alternative procurement strategies.
Thousands of Americans reside in nursing homes across the US, with facilities spanning a wide range of sizes, occupancy rates, staffing levels and expertise, available services, business models and managerial expertise. This great variability between each facility results in a highly divergent quality levels, creating a substantial challenge for families across the country: which home should they choose for their elderly relatives.