Analyzing a New Form of Cancer Treatment


As healthcare continues the shift from fee-for-service to value-based care, health providers have begun to re-imagine the patient experience and are exploring new methods of treatment to reduce costs and improve patient satisfaction. Working with Maple Tree Cancer Alliance, we took part in a study to determine the effectiveness of supportive care for cancer patients.

What we did

  • Data Mining

  • Data Visualizations

  • Data Visualizations

  • Comprehensive Insights

Building a dataset

Through our combined partnership with the Greater Dayton Area Hospital Association (GDAHA), Premier Health, and Kettering Health Network, we have access to over 15 million patient encounters.

Leveraging GDAHA hospital data and Maple Tree’s supportive care enrollment data, we created an interconnected study dataset capturing a year’s worth of hospital encounters for 147 patients.

Defining the measures

For this study, our goal was to show an improvement in quality measures while showing a decrease in hospital costs. To achieve this, we focused on four primary measures for each patient: number of hospital encounters, readmissions, total charges, and length of stay.

Following the study, our results revealed a decrease in each of our measurable outcomes. Most notably, readmission rates dropped by 47%, and the average cost per patient decreased by 28%.

Looking ahead

Maple Tree has continued to find success with its program, leveraging the findings in this study, they are pursuing reimbursement funding from the Centers for Medicare and Medicaid.

We created change with Maple Tree