Data quality is the foundation of
healthcare decision-making and analytics.
If You Can’t Trust It, What Good Is it?
You’re running data feeds from multiple databases to multiple modules — just to
put together a simple budget or attempt to analyze some basic performance metrics.
You’re spending way too many hours trying to reconcile data between
your financial modules. In addition to the extra cost, consider the lost productivity and increased chance of human error.
Your hospital finance modules don’t talk to each other — you feel like you’re
playing a sophisticated game of “telephone.” And we all know how that game ends.
Your vendor is only performing a few minor checks
on your most critical data. Even they don’t trust your data enough to go any deeper.
Working with Dishonest Data means you’re jeopardizing your planning, clinical-financial integrity, and data governance capabilities, every single day.
Trusted, Reconciled and Verified …
Sourced from ONLY One Database and One System
Therefore, it produces ONLY One (Accurate) Answer
Start with an approach to data that provides a single source of truth (SSoT)—prioritizing easy reconciliation, seamless communication between modules, and minimal work for you. Our approach to data means …
If so, you’re dealing with inaccurate data, you’re risking your organization’s financial health — every single day.
Warning
Some Systems Try To
Fake Honest Data
It might be because their systems were created back in the Jurassic period (from a technology perspective), using an ancient technology, and thereby can’t integrate well with other critical, existing systems. This lack of integration is built into their core system.
The only way to fix this problem would require a total rewrite, using newer technology, which will require enormous time and an even bigger investment of money.
It’s much easier to ignore the issue and brush it off. But, it’s YOUR data that suffers and YOU end up making critical decisions on bad information.
This might sound reasonable, but chances are you’ve just gotten used to making decisions based on dishonest (inaccurate) data and doing lots of extra, unnecessary work to produce worthless results.
If so, you’re dealing with Dishonest (inaccurate) data and risking your
organization’s financial health daily.
How At Risk Are You?
Take Our Free Risk Assessment
One of our Honest Data SM Experts will help you evaluate your existing risk and determine how severe it might be. You’ll see for yourself exactly where you stand.