Charge Infusion Case Study

Massachusetts Based Hospital

From manual to automated infusion coding: How this hospital improved charge throughput and is capturing more revenue

A long-time medaptus Charge Pro customer for their charge capture and reconciliation process, this Massachusetts-based hospital was benefiting from automating their revenue and reconciliation process to reduce charge lag, capture all the revenue for their services, and reduce insurance denials.

Hospital Infusion Services

When it came to infusion billing, that was a different story. Infusion billing is notoriously complicated, with risk for compliance and financial implications when not done correctly. Since this hospital has a leading-edge cancer care center and operates a number of high-volume infusion centers, they were looking to ensure they were capturing all the revenue associated with the procedures they were performing.

Like many hospitals who do infusion billing manually, they noticed a few challenges:

  • Coding was manual and onerous for nurses who weren’t trained in coding, so coding staff reviewed every single charge that the nurses submitted.
  • Often there were a lot of errors, such as wrong drug type or missing stop times – the latter in particular had a huge impact on revenue.
  • Coders would often have to re-code and re-document the encounter, which was inefficient.
  • There was no way to address issues in real-time – errors were logged in a tracking spreadsheet and then reported back to nursing staff at the end of the month.
  • CMS reimbursement requires the application of a unique hierarchy that is not intuitive and difficult to figure out manually, which meant that there was uncaptured revenue for work actually performed.

What It Looks Like Now

The hospital integrated medaptus’ Charge Infusion software directly with their EHR, Epic, which means the data is automatically pulled from Epic and transmitted into Charge Infusion, where the charges get automatically reviewed, and mapped according to the Infusion coding hierarchy.

Medaptus automatically evaluates if all the data needed to process the charge correctly is there – for example, the drug name, NDC code, and the start and stop times of the infusion. Then, the medaptus algorithm automatically calculates the correct CPT code, in the correct order of the hierarchy. As the last step prior to being sent for billing in the Epic Clarity system, medaptus translates the CPT codes to CDM codes, in line with their Charge Data Master, for error-free billing.

The end result is that their coders no longer have to review every single charge that comes in, and the nursing or coding staff don’t have to manually calculate the coding hierarchy which has a big impact on maximizing revenue. Now, the coding team is experiencing improved efficiency thanks to fewer errors, tighter compliance with documentation, and faster overall throughput.

The Stats: More than 4,000 physicians and 35,000 employees

In addition to benefiting from automating their infusion coding and billing process, the hospital also had a few exceptional scenarios that their coders consistently had to spend a lot of time manually correcting. We worked together to program these special use cases into the software, to again ensure billing was error-free and revenue could be captured faster. Scenarios like:

  • Unrecognized NDC drug code: It wasn’t always clear which drug was administered, whether it was a chemo, med or hydration. Again, this has huge revenue impacts as the amount of revenue you’re allowed to bill for is different depending on the drug code. Now, medaptus’ Charge Infusion automatically updates the code set to avoid these issues.
  • Mixed drugs in one bag: This created confusion for nurses because only one drug could be billed as primary. In order to know which to bill, the nurse would have to look at the NDC codes. This also had a huge revenue impact as whenever administering multiple drugs, you want to charge for the highest one in the hierarchy, which would be chemo. Nurses weren’t always familiar with this, causing lots of revenue to be left on the table. With medaptus in place, this decision-making is now built into the platform.
  • Bi-lateral injection. Often, documentation would come back with a single code and a reference to bilateral delivery – but that would have to be re-worked by coders. This is another case that is handled with automation with medaptus as not to lose vital revenue – and to free coding staff from having to identify and correct errors.

The Results

To view the full case study on the MA Based-Hospital’s success with Charge Infusion, please fill out the form below for a downloadable PDF.

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