The Analytics Behind Reducing Hospital-Acquired Conditions
Hospital-acquired conditions have led to an excess of $2 billion* in costs for healthcare organizations, longer stays for patients, and increased mortality risks.
One way hospitals can take control of the situation is to take control of their data. 86% of healthcare leaders have stated that reducing hospital readmission rates was their top analytics priority, but 70% of healthcare leaders have admitted they are not good at democratizing the data in their organizations.
There is a data epidemic in healthcare, which, at 48%, is one of the fastest growing segments in the data and digital space. Only about 3% of the data that is coming from healthcare providers is "good" data. This contaminated data can be attributed to poor data blending and a lack of data efficiencies; 87% of organizations are using 6 or more different sources to gather their data, and analysts spend about 37% of their time just searching for the right data from their sources, when they could be spending that time delivering business solutions and outcomes to the organization.
The current business challenges related to patient falls alone affect healtcare organizations across all facets of the organization. In the IT space, there are challenges with data sources, data cleansing scripts and tools, and prep and blending scripts and tools. GIS Specialists encounter challenges with spatial tools, while Data Scientists experience roadblocks in predictive and prescriptive scripts and models. IT and DevOps are working with product and output development, and business analysts face challenges with visualizations and reports. Here's a snapshot of some of the business challenges affecting the whole organization as a result of patient falls and the current lack of predictability:
- 30-35% of falls result in injury
- 1/2 of the 1.6M residents in US nursing facilities will fall
- Each injury adds 6.3 days to the hospital stay
- Each injury on average costs 14k
- Identified by CMS as "never" events with limited reimbursement
Each of the business segments mentioned above is using its own set of tools, but could benefit greatly from using one self-service analytics tool to do each task. These challenges could be solved with one solution: self-service analytics. Self-service analytics with Alteryx can cut costs and create efficiencies across the healthcare organization, including payer, provider, strategic planning, operations, finance, patient insights, sales, marketing, and HR. Using an analytics platform like Alteryx, our solutions can:
- Use data to build predictive models
- Rapidly prototpe several models, compare, and select the best model
- Scale the effort of one analysis to end users
John Heisler, VP of Business Intelligence and Data Science, has worked in healthcare analytics for 6+ years and now continues working with healthcare organizations to make the most of their data at Continuus. We provide services to healthcare organizations that build their data strategy and roadmap and help them reach their key business outcomes, with everything from data visualization and reporting to machine learning/AI and development integrations and implementations.
In the case of this webinar, the ideal business outcome is to prevent falls and associated costs in weeks, not years, while keeping project spend to a minimum. This can be accomplished by having the ability to utilize your data to predict the likelihood of a fall in a patient and take preventative action. At Continuus, we provide the solutions that can give providers extra insight and indication of when and where to focus resources to prevent speedy returns to the hospital, as well as many other predictive solutions to create efficiencies across healthcare operations.
Check out the recording of our webinar with Alteryx, "The Analytics Behind Reducing Hospital-Acquired Conditions," for John's detailed walkthrough of setting up and executing a self-service analytics workflow. To learn more about the healthcare business solutions we provide at Continuus, contact us today!
*Note: All statistical references can be found within the webinar recording.