The healthcare industry is in the midst of a major transition from fee-for-service reimbursement to a value-based model. By 2020, fee-for-value reimbursement is expected to represent 83% of hospital revenue, up from just 14% in 2010.
Becker’s Hospital Review says that 86% of hospitals are already participating in some sort of value-based reimbursement program. Improving documentation and coding (in the middle of the revenue cycle) is key. Here are six ways insight into the mid-cycle can help you transition to value-based reimbursement.
#1: Encourage collaboration in CDI initiatives
With the transition to value-based reimbursement, clinical and financial stakeholders need to collaborate to improve the hospital’s financial viability. There is a clear link between coding and revenue, so you need to ensure you are working together to improve coding and documentation practices.
#2: Recognize the mid-cycle opportunity
The Advisory Board Company estimates that the average 250-bed hospital could gain as much as $11.3 million in revenue through improvements to the mid-cycle. With mid-cycle insight, you can gather information on coding and financial metrics to determine implications on your profitability.
#3: Engage physicians through data
Documentation improvements are crucial to improving profitability in the mid-cycle. Benchmarking data helps your physicians see how their documentation practices compare to others within the facility and across the country.
#4: Improve coding specificity
Use your data to identify what codes are being used, how frequently they are used, and how that frequency compares to organizations of a similar size. Your data can help you analyze your CMI, unspecified codes, compliance risk, underutilized secondary diagnosis codes, and more.
#5: Target physician and coder training
ICD-10 is a new world for physicians and coders. Their work has a direct impact on your financial viability. Without data analytics, it’s difficult to connect the dots between procedures, documentation, coding, and revenue. By giving physicians and coders the right information and training, you can ensure that every claim is coded correctly and that all complications and comorbidities are specified.
#6: Measure ongoing performance
To ensure your viability in a fee-for-value world, detailed change management processes must be in place. With ICD-10 in effect for just three months, it’s difficult to truly measure the impact of the change. It can be tough to stay on top of your physicians’ documentation. But regular reviews are critical. Integrating a performance management solution with data analytics helps you create specific action and accountability plans to drive meaningful change.
Learn more about how Revenue Integrity can help you seamlessly transition to value-based reimbursement with data analytics.
Sources:
AHD Acute Data, SK&A, NEJM, RWJ Foundation, HIMSS, Commonwealth Fund, Oliver Wyman
The New “Mid-Cycle,” Moving Past ICD-10 to Drive Lasting Revenue Optimization, The Advisory Board Company, 2014
Get our take on industry trends
More Megatrends: Price Transparency, Telehealth, Individualized Medicine
By Scott Hampel, president of MedeAnalytics Now that we’ve dealt with Megatrends one through three, we’re approaching the next set.…
Read on...2020 Megatrends: Consumerism, Data Privacy and Security, AI
With 2020 two weeks old, it’s becoming clear the data produced in the healthcare industry by providers, consumers and payers will power and propel our 9 megatrends. Healthcare data is the foundation on which we’re building everything from healthcare outreach for the underserved to new Internet of Things-based healthcare programs to treatments designed just for you.
Read on...Why Unconventional Businesses Will Find Success in Healthcare: It’s the Data
It seems everyone is moving into healthcare. It’s a rapidly growing industry, historically dominated by large, well-embedded companies and organizations, and “pure tech” companies have had difficulty breaking in. That, however, is changing.
Read on...Data and Social Determinants of Health
By Scott Hampel – I think a lot–and I’m not the only one–about how we can improve the ways we pull information from data. Data on its own is inert: just waiting to be understood and then used. And that’s a major challenge for many organizations. Data is often trapped in different applications with no easy or convenient way to extract it.
Read on...