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From the August 2006 Issue
Building a Safety Net The Cure for the Fatally Flawed EMR Software Model
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Revving Up the Revenue Cycle A Wisconsin health system implements revenue cycle management
software for enterprise performance improvement.
Hospitals and healthcare systems across the nation
continually evaluate strategies for improving financial performance.
With razor-thin margins and growth in the number of uninsured impacting
the bottom line, efficient revenue cycle management has come into sharp
focus. Since the revenue cycle is complex and the potential for error is
significant, Aurora Health Care took a comprehensive look at our own
revenue cycle process. After realizing that we needed more robust
information and tools to adequately assess and improve performance, we
implemented a Web-based revenue cycle analytics application across our
enterprise, reducing days in A/R (accounts receivable) by 36 percent for
the entire system and realizing quantifiable savings of nearly $18
million over 18 months. Aurora Health Care is a not-for-profit Wisconsin healthcare
organization, with sites in more than 90 communities throughout eastern
Wisconsin, including 13 hospitals, more than 100 clinics and 120
community pharmacies. We employ 20,804 employees and more than 3,400
physicians, including 680 who make up Aurora Medical Group. The health
system generated $2.6 billion in gross revenue for fiscal year 2005. Our health system was created around a single idea: “There is a better
way to provide healthcare.” Our governing board continually strives to
give people better access, service and results than they can get
anywhere else. Because of this vision, in late 1999 we went through a
period of rapid growth, continually building hospitals and buying
clinics and nursing homes to provide services in the most convenient
manner possible. To support the initiatives, we focused on increasing
cash on hand, reducing days in A/R and ensuring patient satisfaction.
During winter 1999 and into 2000, Aurora Health Care launched a revenue
cycle improvement project to migrate all 13 hospitals onto one central
patient accounting system. By mid-year 2001, we had completed our
migration plans, and by December 2001, we were looking at days in A/R of
56 and a quality measure of 91 percent. We were disappointed that our A/R days appeared to be climbing instead
of declining, as we thought they would once we had a central patient
accounting system. We knew, in part, what contributed to the creep:
During the migration, we had implemented inconsistent processes across
the enterprise as we learned the new system. With the resulting slowdown in A/R and increased pressure to expedite
payments, the ability to access and analyze key financial data and
revenue cycle performance across the health system was a high priority.
The pilot groups presented their results to a revenue cycle steering
committee, and the committee recommended which pilots to implement
systemwide. We benefited greatly just from the education and awareness
that was generated throughout the organization regarding revenue cycle
processes. It was hard to believe when we started that people still
thought that the revenue cycle involved only the business office. We
developed 10 hospital strategic initiatives and six clinic initiatives
to improve the overall performance of our revenue cycle, and continued
to work with our staff on implementing more efficient methods for its
revenue cycle processes. Limited Reporting Capabilities Aggregating and realizing the value of the information contained within
the data had become a manual and time-consuming process, requiring 2.0
FTEs at month’s end to take financial information and metrics from each
individual hospital and enter them into spreadsheets to get an
aggregated, enterprise view of financial performance. It took two
employees nearly a week to pull month-end data together. By 2003, we had made all the improvements that we could without
additional technology. We knew we couldn’t achieve any more improvements
without seeing a total picture of A/R for Aurora Health Care as a whole
enterprise, all 13 hospitals as well as each individual hospital. We
needed better reporting and analysis tools so we could focus on data
analysis instead of data gathering. Coincidentally, that spring, our vice president of finance had dinner
with a college friend who was a vice president at MedeFinance Inc., a
provider of financial and revenue cycle analytics. Our VP discussed our
need for a revenue cycle management solution, and MedeFinance indicated
they marketed a Web-based application. They soon contacted us, and we
formed an evaluation committee comprised of representatives from the
finance department, as well as managers and select users from patient
financial services. We agreed that our goals for selecting a revenue
cycle management technology solution were simple:
One of the key determinants for selecting MedeFinance was its ease of
use at multiple staff levels. The ability of both our managers and
departmental level employees to utilize Web-based technology was an
essential selection criterion. Other vendor solutions we evaluated were
either cost-prohibitive or cumbersome, requiring users to drag and drop
boxes. There was no way this was going to work with our users. We
especially liked MedeFinance’s point and click capability. Because Revenue Cycle Analytics is a hosted application model available
for a monthly fee, implementation was fast and easy. We didn’t have to
purchase hardware, maintain software or impact Aurora Health Care’s
internal IT resources. However, it did take some time for I/S to develop
the data extract files that are sent to MedeFinance weekly. Throughout training and implementation, we were pleasantly surprised by
the broad expertise of MedeFinance training staff. They had healthcare
backgrounds, and most were former directors of large healthcare
organizations. We didn’t have to explain our industry to them, which
made implementation much simpler. Another valuable aspect of the
services component was that MedeFinance continually alerted us to best
practices in the industry, and we benefit from the successes of the
vendor’s extended users group. Broader visibility has improved the responsiveness of Aurora Health’s
management team. We use the ATB (Aged Trial Balance) function every day
to track A/R performance for large balance claims. With the click of a
mouse, we can drill down to view data by any category, such as payer or
financial class, against the age of the account, and then prioritize our
biggest problem areas. The expanded financial analysis functionality also has resulted in
greater operational efficiency and decision-making across the health
system. We built a centralized denial database, which is a consolidated
repository of all our enterprise denial data, optimized for reporting
and analysis. Revenue cycle staff rolled out the capability a month
after go-live to the patient access area, so they could access denial
data specific to their area, identify root causes for the denials and
take corrective action. Having the information organized in this manner
provides us with critical intelligence for averting future denials and
has helped minimize our revenue exposure. The revenue cycle analytics
technology also has completely automated our month-end reporting
process, and we have been able to redeploy 2.0 FTEs to patient
accounting-related activities that more directly affect the bottom line.
Most notably, we have reduced A/R days to previously unattainable
levels, and today accounts receivable days in the acute care sector of
Aurora Health Care are at 36.4 days, a 36 percent reduction from 56 days
when we implemented the system in 2003—a resulting impact of
approximately $18 million in an 18 month period. The cumulative benefits
have translated into real savings through an increase in revenue,
turnover of denials, process efficiencies and A/R days well below
industry averages. We are currently developing a new point-of-service cash collection and centralized insurance verification and are evaluating use of MedeFinance’s Self-Pay Analytics module to help move us further down the road in revenue cycle improvement. To learn more about Revenue Cycle Analytics from MedeFinance,www.rsleads.com/608ht-201
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