Healthcare

Healthcare Analytics

Healthcare costs can quickly spin out of control. Misallocation of resources can quickly bring down quality of care. To keep efficiency and profitability moving in the right direction, you need to see all your key healthcare reporting metrics across hospitals, programs, and regions. You need to cut that data many different ways and share it with key employees in order to manage your business more effectively. Use our solutions to:

  • Understand profitability by specialties, HRGs (Healthcare Resource Groups), gender, and age.
  • Identify patterns of cost and profitability by admission method and specialty.
  • Provide interactive, web-based dashboards to staff so they can get exactly the data they need right on the floor and in real time.

 

Profitability Analysis

Analyze revenue and profit at any level of your organization

For-profit hospitals need to be able to analyze and understand profitability across many dimensions of their business

This visualization provides a perspective on which specialties are the most profitable for a national healthcare organization. Medical and surgical specialties are high in revenue and have strong profitability, according to the bar chart at the bottom of the dashboard. Using the dashboard, you can evaluate which regions respond well to advertising, and make decisions about where and how to expand service.

Service Monitoring

Keep track of trends to minimize costs

Healthcare providers and insurers need to know which diseases are the most prevalent in a given population, which ages are most affected, and what the associated costs are. Using anonymous patient-level costing data is extremely useful for this type of analysis.

Using this dashboard, a healthcare insurer can evaluate the risks of particular applicants, which diseases they are most susceptible to, and what the costs of treatment for them would be. This application uses data from MEPS (Medical Expenditure Panel Survey).

The insurer can select a number of diseases to consider using the filter on the right. They can filter age at the bottom right. The entire dashboard will update based on the filters.

When published to the server, the dashboard provides a secure way for managers and executives to explore service trends right in a browser.

Segmentation

Understand who your patients are

In a large hospital, thousands of patients come and go each week. How do you know if you are planning correctly to meet the needs of your population?

With this visualization, hospital administrators can better understand the demographics of an enormous client base. Clicking on any zip code on the map shows a breakdown of the patient demographics in that zip code.

By analyzing patient origin, age and length of stay, hospitals can anticipate their staffing and facilities needs as well as understand which neighborhoods to target for outreach.

Cycle Time Reduction

Improve patient satisfaction by improving cycle time

Wait time is one of the most important drivers of patient dissatisfaction. Track the time it takes to cycle a patient through from reception to discharge with all variables included. This allows you take the appropriate action to improve flows and improve patient experience.

This visualization tracks about two months of data in a multi-physician office. On week 4, the office implemented a plan to improve processes, targeted at reducing wait times in the waiting room and exam room.

The top view shows that after the process improvement, total cycle time did in fact decrease. Clicking through the steps of the patient cycle on the bottom right, you can see that the reduction in wait time was most dramatic at the two targeted steps. Other steps in the process stayed constant.

The net result was that the process improvements reduced total cycle time from 73.7 minutes to 64 minutes, a reduction of around 13%.