Featured Use Case
Submitting and posting Medicaid claims requires a tedious process that consumes a tremendous amount of internal resources. Under this system it can be very difficult to:
Eliminate costly mistakes
Maximize employee satisfaction
Avoid denials and subsequent revenue gaps
Handling Medicaid claims and posting payments often requires a different process than for commercial payers, as Medicaid claims frequently involve special codes, modifiers, and portals. This leads many healthcare providers to designate a custom protocol solely for this one payor.
The teams handling these claims often have to:
Scrub claims with precise and consistent audits
Submit claims manually
Attend to detailed edits and corrections
Gather reporting insights on your billing
Perform double data entry in multiple systems
These manual processes are highly error-prone. In addition, the work can be so undesirable for employees to perform that it can lead to backlogs, revenue gaps, and even staff turnover (which means even greater costs to recruit and train new replacements). Another downside is that in this model, there are no economies of scale – if you process twice the volume of claims, your costs double.
These tedious yet critical administrative “chores” are a perfect use case for RPA bots. Autonomous bots can:
Perform thorough and accurate audit checks
Submit a huge volume of claims automatically
Log in to varied external systems to gather information
Post the information error-free into other applications
...and much more.
The great thing about bots is that they don’t care how tedious the task is. They’ll do it the same way every time with maximal precision and accuracy, regardless whether they’ve done it once or a million times. When it comes to complex and repetitive processes like Medicaid collection, bots can save your organization time and money, while at the same time improving the satisfaction of both your clients and your own workers.
Simple Fractal is one of the most experienced RPA companies addressing these workflows. Contact us to learn more.
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