By Nancy Hirschl, BS, CCS, AHIMA-Approved ICD-10 TrainerVice President, HIM & Product StrategyStreamline HealthWith the dramatic onset of the COVID-19 pandemic, CMS issued brand new ICD-10-CM codes to identify and reimburse COVID-based encounters, along with new—and subsequently adjusted— rules for using them. The sequence below captures the complexity of this unprecedented scenario from a medical coding [...]
Accurate coding and quality measure reporting: why you need both to maximize revenue in the short- and long-term
Trish Wharton, RHIA Vice President, Strategic Accounts, Streamline Health Let’s face it. If you look past the countless providers making a positive impact on patients’ lives every day, healthcare is essentially a business. And in order to serve its core mission of delivering quality care to its community, that business needs to be financially viable. [...]
A new program from CMS, called Meaningful Measures, could be a crucial step toward reducing regulatory burden and putting more focus on patients. It’s also ups the ante on coding and documentation accuracy.
Revenue cycle systems rely on a web of data systems, yet crucial disconnects can unnecessarily hinder performance and results.
Ten years ago, not many hospital administrators would list revenue integrity as a major concern, but today the concept is more important than ever.
Making adjustments to your abstracting process will directly impact your organization’s ability to reduce risk along every stage of the revenue cycle.
Automated coding analysis based on Artificial Intelligence enables providers to ensure coding accuracy and revenue compliance prior to billing.
As industry regulations push organizations to provide better care and keep more accurate documentation, workloads will increase - unless organizations delegate menial tasks to automated systems.