Artificial Intelligence, Machine Learning, & Digital Workforce for the Revenue Cycle
Optimized and Reinvented Revenue Cycle
A single patient can generate as much as 80 megabytes of data every year. Within five years, the amount of stored healthcare data is expected to skyrocket almost 600 percent.* More data can mean more opportunities to provide faster, more targeted healthcare solutions and reinvent the revenue cycle, if it’s leveraged.
Leveraging Big Data for Real-Time Solutions
Do you know where your revenue cycle is leaking? There are seven areas that are usually responsible for revenue leaks. The results are confusion among departments, preventable delays, and uncertainty. Utilizing Artificial Intelligence (AI) and Machine Learning (ML) in healthcare helps administrators focus on more critical tasks while at the same time:
- Automating workflows
- Improving quality of care
- Reducing errors
- Lowering costs
- Anticipating and adapting to changing variables
- Preventing fraud, and
- Increasing revenue cycle management performance.
Custom AI Solutions for Healthcare
Hospitals and healthcare providers deploying AI/ML will work with a “digital employee” named TRISH: Trusted Revenue Innovation for Smart Healthcare. TRISH is designed to spot vulnerabilities in an organization’s revenue cycle and reduce errors that impact profitability. TRISH learns and adapts and ultimately reduces the cost of doing business for healthcare organizations. SHOAR (Smart Health Operations and Revenue Solutions), LLC, is Windham Brannon’s joint venture organized to deliver state-of-the-art AI/ML solutions specifically within the revenue cycle.
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