- Written by Living Wisely
- Category: Analytics Conference
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When you think of the term “healthcare analytics” what comes to your mind? Do you see a person poring over a bunch of spreadsheets, buried in stacks of reports?
In the past, that was true. The healthcare industry kept data on paper for record keeping, meeting compliance and regulatory requirements, and improving the quality of care.1
A better, more efficient approach is putting data into a healthcare enterprise data warehouse (EDW). This automates data distribution so analysts can focus on finding patterns and identifying what changes an organization must make to improve care.
The benefits of big data analytics
With so much information available, it’s now known as “big data.” Healthcare analytics has the potential to leverage this data to improve the quality of care, lower the cost of care and even save lives.
An analyst with the right tools and resources can help hospitals, doctors and health care professionals make better diagnoses and care decisions. Diseases can be detected at an early stage when it’s easier and more effective to treat patients.
By identifying patients who have needed the most care, healthcare analytics can give these patients information to help them manage their health, find the right treatments and programs, and lower hospital readmissions.
Analytics can also detect health care fraud and make a positive impact on a healthcare organization’s bottom line.
How healthcare analytics helped a healthcare system
A large healthcare network with more than 3,750 hospitals and 130,000 provider organizations had data on about one in four patients discharged from their hospitals. The network had a large database of patient, clinical, and financial data it leveraged to create clinical, resource and costs reports.
As a result of leveraging this data, about 330 hospitals improved their decision-making and healthcare processes. This resulted in saving 29,000 lives and reducing spending by almost $7 billion.1
How partnering with an EDW vendor helped a hospital
Data analysts at a hospital discovered a pattern of patients who had a certain procedure and ended up staying in the hospital for almost two days. However, evidence concluded that these patients could have been released after only a 12-hour stay because they were simple cases.
Analysts used the electronic data warehouse and worked with a vendor to verify that the shorter stay wouldn’t have any negative impact on patients. They also looked at how this change would affect patient satisfaction and readmissions. The analysts concluded that the annual savings for one hospital lowering the length of stay for this procedure would be more than $150,000.2
Using an EDW to integrate best practices with clinical processes
At one hospital, analysts studied appendectomies and found that the recommended initial dose of antibiotics was administered to only one in four of these patients. Doctors at the hospital met, reviewed the data and agreed to a revised care plan. As a result, compliance with the antibiotic baseline went up to 95 percent.2
You can learn more about big data and EDWs at the Healthcare Analytics Summit 17 on September 12 to 14, 2017 in Salt Lake City.