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.
Ten years ago, not many hospital administrators would list revenue integrity as a major concern, but today the concept is more important than ever.
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.
From improving revenue to developing new cures for ailments, AI is here to stay - and that's a good thing.
At the beginning of 2017, providers across the country started to collect data to report to the Centers for Medicare and Medicaid (CMS) - but many have fallen behind the curve.
Some compliance officers may be hesitant to move forward with an IoT strategy because its associated risks are so different from traditional systems.
Most providers know the importance of accurate clinical information to support value-based care models, yet few are taking steps to adapt their operations accordingly.