New solution gives Skilled Nursing Facilities greater insights into market share and quality performance of peers to compete more effectively in care networks and negotiate more favorable reimbursements.
ATLANTA GA– Excel Health, the leading source for post-acute care outcomes data and performance analytics for the healthcare industry, announced today the general availability of its new business intelligence solution for Skilled Nursing Facilities (SNF). Based on the most recent and complete set of Medicare data available, Excel Health provides SNFs unprecedented visibility into the markets they serve, including physician referrals and facility discharge patterns by setting, diagnostic category, and patient acuity. The solution also includes competitor performance metrics such as readmission rates, total cost of care, and average length of stay.
“The SNF market is under extreme pressure by healthcare networks and health plans to demonstrate the value they contribute to reducing the total cost of care and minimizing the risk of patient readmissions,” said Excel Health CEO Ian Juliano. “By working with some of the largest and most forward-thinking SNFs to develop our solution, we are able to solve two of the biggest challenges facing SNFs today – knowing how to efficiently grow their market share and reduce margin pressures in the value-based care economy.”
How It Works
As one of only a few companies in the country to earn Innovator status under CMS’s Virtual Research Data Center Program, Excel Health has access to the complete and current set of fee-for-service claims data on the 60M+ Medicare beneficiary lives. Excel Health has analyzed more than 1.25 billion claims across the care continuum and presents actionable insights for SNFs, including:
- Outcomes by major diagnostic category and Bundled Payment for Care Improvement category
- Average Medicare length of stay
- 30, 60, and 90-day readmission rates
- Total cost of care across all patient settings
Business development leaders and operational executives can use these metrics to identify high-potential referral sources to grow their business, increase their profitability, and uncover opportunities for improvement in their own operations to provide the highest quality services at the lowest cost. According to Keith Imbody, Director of Business Development for Nationwide Healthcare Services with six facilities across Pennsylvania and Delaware, “The Excel Health solution provides access to current, accurate data in a very credible and powerful way, giving us the advantage in a competitive market where appropriate lengths of stay and low readmission rates are key.”
Building on the expertise Excel Health has gained in delivering similar business intelligence solutions to more than 4,000 active users in the home health and hospice industries, Excel is adding its purpose-built SNF solution to its growing portfolio of post-acute care products. With a 98% customer retention rate, Excel continues to add new capabilities to expand the value its solutions consistently deliver to customers. The new SNF solution is available today and will be demonstrated at the upcoming LongTermCare100 conference May 5th in Naples, FL. To learn more or see a complete demonstration of the new SNF solution, please visit https://www.excelhealthgroup.com/request-a-demo/.
About Excel Health
Excel Health provides growth solutions that drive critical workflows to dramatically improve post-acute care performance. Our performance analytics, quality metrics, and targeting tools are derived from complete 100% Medicare Part A and B data, along with Part C and D in the near future, to produce high value to care providers and payers. Given our strong client retention rate, we have developed the “90 Day Stress Free Guarantee” program. Details can be found at excelhealthgroup.com/stress-free. Excel Health customers are the only SNFs in the market that can position themselves as an invaluable resource to their referral partners, because they have exclusive visibility into the full continuum of care. For more information on Excel Health, please visit http://www.excelhealthgroup.com; or to see a demonstration, email us at email@example.com.