SPH Analytics Releases Case Study Highlighting Success in Quality Measure Management for Commercial Risk Agreements

January 10, 2018 Editor

 

Initial results show significant improvement in Staff Efficiency and Care Gap Closure at major Atlanta area PHO 

Alpharetta, GA – SPH Analytics announced today the release of a new Population Care case study that documents the success of their quality measure solution for managing commercial risk agreements. DeKalb Physician Hospital Organization (DPHO), a major metro-Atlanta physician hospital organization with more than 500 employed and independent physicians, partnered with SPH Analytics to develop an expansion to SPH’s suite of population health and MIPS applications to resolve burdensome quality measure tracking for commercial value-based contracts.

DPHO has ten commercial payer relationships, serves inpatient and ambulatory providers who serve more than 32 specialty areas and use more than 20 electronic medical record systems across multiple practices. With such complexity, the task of maximizing quality across multiple payers, practices and IT environments had become very difficult. DPHO turned to SPH Analytics to develop and deploy a commercial module for Population Care | Quality Measures. This quality measure dashboard empowers physician practices with valuable insights into clinical care gaps throughout the year to improve population health and maximize revenue opportunities. The solution also minimizes the administrative burden and overhead of DPHO, so they can monitor quality measure performance without manual processes or additional staffing needs.

The Population Care | Quality Measures solution produced the following results:

  • 80% improvement in staff efficiency
  • Significant improvement in care gap closure within initial six months of use, including 40% improvement in BMI screening and 14% improvement in colorectal cancer screening

“The initial results achieved indicate that Population Care is having a significant impact on DPHO’s quality measure monitoring and improvement efforts,” said Amy Amick, Chief Executive Officer of SPH Analytics. “The solution is a win-win for all stakeholders – increased revenue from commercial payer agreements for providers, streamlined management of quality for physicians and administration, decreased costs for payers, and improved quality for patients”.

DPHO Executive Director, Susan Helton, reflected, “The ultimate winners are the patients, as Population Care | Quality Measures helps DPHO provide the best care for the patients we serve.”

To download a copy of the study, visit www.sphanalytics.com/commercial-quality-measures-case-study/.

About SPH Analytics

SPH Analytics (SPH), a leader in healthcare analytics and population health management, empowers clients to analyze and interpret their clinical, financial, and consumer experience data to maximize their performance. SPH’s Population Care, Population Value, and Population Engage solutions are built on the innovative Nexus Platform, providing insights and impact to integrated health networks, ACOs, hospitals, ambulatory care providers, physician groups, and health plans. SPH’s quality measure dashboards, financial risk measurement, healthcare survey and call center solutions, and consulting services empower clients to meet the Triple Aim by improving population health, reducing overall cost of care, and improving the patient experience.

SPH Analytics is a recognized leader in the industry, earning accolades as a top-ranked population health vendor by KLAS, ranked the number one analytics firm out of the top 50 disruptive health IT companies by Black Book Research, and ranked number one in MACRA and MIPS Support Technology for Value-Based Care by Black Book Research. SPH Analytics has been providing insights to clients for more than 24 years and serves clients in all 50 states. Corporate headquarters are in metro Atlanta. SPH Analytics is a portfolio company of the $3 billion Symphony Technology Group. For more information, call 1-866-460-5681 or visit SPHAnalytics.com.

 

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