Uncompensated care is on the rise. Providers are projected to write off as much as $200 billion by 2019. Value-based reimbursement, ICD-10, bundled payments, and shared accountability payment models are all creating a new healthcare economy.
In this new economy, it’s important to ensure you are paid for the care you deliver. With data analytics in the business office, you can increase collections, reduce denials, and guide business strategy.
Here are the top five ways analytics can help you take control of your revenue.
#1: Prioritize accounts and increase cash
Analytics help you gain big-picture insight into your financial health as well as manage the day-to-day efforts of the business office. You can prioritize accounts and accelerate collections with daily insight into denials, team efficiency, and patient obligation risk. Analytics show the average number of days in accounts receivable (AR), accounts in AR for more than 90 days, coding delays, the root causes of denials, and more—all aimed at increasing collections.
#2: Reduce denials by identifying root causes
Detailed analysis can help you identify exactly why denials are happening and where missteps may be taking place. With insight into denials, you can understand the causes of disputed claims, identify denial trends by payer, and analyze appeal success. Plus, you can identify at-risk dollars and address denials—before they happen—through predictive analytics.
#3: Streamline business office operations
Business office operational tools complement analytics to improve efficiency and productivity. These tools enable your teams to manage and have insight into billing and coding delays, overall time to bill and time to pay, account liquidation timeframes, and avoidable denials caused by missing information or authorization issues.
#4: Improve self-pay collections
Collecting on self-pay accounts can be a challenge for the business office. It’s important to collect, but only in an efficient, cost-effective way. Predictive analytics can minimize time wasted on high-risk accounts, and help you focus on high-value accounts with the greatest likelihood of payment. You can ultimately reduce the cost to collect, streamline financial counseling workflow, and identify patients eligible for Medicaid or charity care.
#5: Analyze the entire revenue lifecycle
With analytics in the business office, mid-cycle, and patient access, you can use your data to improve all points of the revenue cycle. You can identify lost revenue, missed revenue, and revenue at risk—whether it’s due to insufficient documentation, missing charges, denials, bad debt, take-backs, or a lack of insight into the process. You can track all of these “leakage points” in the revenue cycle through a single, integrated data analytics platform.
Learn more about how business office analytics can help you take control of your revenue.
Get our take on industry trends
Why Health Plans and Employers Need Stop Loss Reporting
Due to rising healthcare costs and the Affordable Care Act removing the ban on capitated benefits coverage, numerous employers with self-insured health plans often purchase stop loss coverage. This coverage is not medical insurance; but rather, it’s a financial and risk management tool that protects the employer from excessive claims.
Read on...Bridge the Payer/Provider Data Gap
Every patient has a plethora of data associated with their health record, which can include decades of enrollments, claims, accounts and charges. Much of this data is not housed within the same institutional, facility or provider database…
Read on...Digging deeper: Leveraging analytics to boost service line profitability
Regardless of the size of the hospital or health system, you need to look beyond traditional operational metrics to fully understand your organization’s performance. Insights into revenue, volume, cost, quality and variation across service lines are key to improving both performance and profitability.
Read on...