Demystifying data and analytics for home health, hospice, and palliative care
With the needs for delivery of care in home settings on the rise, the pressures of how referrals and patients are driven to organizations are unavoidable. Does your agency have a plan for dealing with labor and financial challenges? Fortunately, we have the secret sauce that will help your agency survive (and thrive): data-driven outcome strategies. Here, we’ll discuss what analytics and data for home health, hospice, and palliative care are and how they can give your agency the competitive advantage it needs in this rapidly changing market.
What are analytics in home health, hospice, and palliative care?
The benefits of analytics are simple—through a pre-built dashboard, you get a visualization of key metrics in a summarized form. It should also be easy to use and automated, with the ability to see historical trends and customize the data you need.
Different kinds of analytics can provide different data:
- Descriptive analytics: What really happened?
- Diagnostic analytics: Why did it happen?
- Predictive analytics: What will happen?
- Prescriptive analytics: How can we make it happen?
Therefore, analytics should be a visual tool at its core—merging information from different sources in a way that provides answers to your highly targeted, specific questions.
What is data access?
Data access is the most technical analytic approach, providing direct information to key system tables within the platform you use. Compared to analytics, data access is an IT project that focuses on analyzing important business trends and macro decision-making.
Many organizations already incorporate data access into their analytics strategies by creating any combination of data, including payroll, CMS information, and even your own visualization tool to create a single pane of glass for the leadership team.
So, if you want to pursue data access without an IT team, you could hire consultants to build custom specifications or ask your vendor if they provide a partner. Regardless of how you go about getting this analytics solution, the benefits—such as the potential savings in opportunity cost for each report automated—can be immense.
How is analytics different from reporting?
If you wonder why you need an analytics solution beyond reporting, it’s because there’s a significant difference between the two. Reporting is a page-based layout, operationally focused in real-time. But, its downside is that it impacts the application database with each run, which can take up cycles on the server and cause the system to be sluggish for other users. Therefore, a true analytics solution allows you to slice and dice data in multiple ways and should give you a visualization of your data through charts, funnels, and breakdowns that cut across multiple offices.
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