Harnessing AI to Enhance Reimbursement Efficiency
The skilled nursing industry is inherently complex and data-intensive, where accuracy and efficiency are paramount. One area that requires exceptional precision is clinical data capture for reimbursement — the process of gathering and documenting detailed information about a patient's medical
Don’t Slip Up When Coding SLPs – Use These Tips Instead
The Patient-Driven Payment Model (PDPM) presents challenges and opportunities, particularly in coding for the Speech Language Pathology (SLP) component. Since the SLP case-mix index (CMI) multiplier ranges from 0.68 to 4.21, even one MDS coding misstep can be costly. This
Understanding PAC Data
Unstructured Versus Structured Data and the Implications for PAC Operators Data, data, data. Healthcare data is expected to be the highest data growth business sector of any industry with a compound annual growth rate of 36% through 2025. And, everyone
The Role of AI in Healthcare
Welcome to the first post in a series on AI in healthcare. Over the next few posts, we’ll explore the background of artificial intelligence in healthcare, its implications for post-acute care, impact on the revenue cycle, and finally our philosophy