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Decreasing Durable Medical Equipment Variation Yields Nearly $1M in Additional Revenue

Community Health Network identified that inconsistent oversight of durable medical equipment (DME), and process variation, were a likely source of waste and lost revenue. The health network sought a systemwide, data-driven process for the purchasing, dispensing, and billing of DME. A data platform and analytics applications were utilized to understand organizational performance, identify opportunities for improvement, and evaluate the impact of these changes on patient, financial, and organizational outcomes.

Featured Outcomes

  • Nearly $1M in additional revenue, the result of standardizing DME, and a 5 percent increase in DME revenue for orthopedic bracing.

Reducing Hospital Onset Clostridioides Difficile Infections Decreases Costs by $855K

Community Health Network, a hospital system in Indiana, discovered that its hospital-acquired C. diff infection (HA-CDI) rate was higher than the national benchmark. The organization knew it needed to decrease infection rates, but without timely, meaningful data, leaders couldn’t identify the right areas to focus improvement efforts. With the use of a high-level, robust analytics system that allowed better access to data, team members were able to determine where to focus their efforts.

Featured Outcomes

  • 855K in savings in one year, the result of a 31.8 percent relative reduction in HA-CDI rate per 10,000 patient days, with 33 HA-CDIs avoided, and nearly 1,000 less unnecessary lab orders.

Data-Informed Decisions Drive Revenue Improvement by More Than $48M

MultiCare Health System’s Pulse Heart Institute (Pulse Heart) recognized that better care coordination was required for patients receiving cardiac, thoracic, and vascular care. The organization wanted to further improve quality outcomes, provider engagement and recruitment, and its own economic health. To meet these objectives, Pulse Heart focuses on clinician engagement and organizational alignment, ensuring widespread access to meaningful, actionable data and analytics to inform decisions and drive improvement.

Featured Outcomes

  • $48M in revenue, surpassing the year three market share goals in year two. Overall market share improved in every submarket.

Trigger-Based Analytics Application Recognizes More Wrong-Patient Order Errors

This healthcare organization, comprised of a specialty hospital and multiple clinics, sought to improve safety for its patients, focusing on identifying wrong-patient order errors. To better understand and improve patient safety, the organization needed to move beyond passive surveillance. By using multiple detection methods for identifying wrong-patient errors and establishing triggers that identify when a wrong-patient order may have occurred, hospital and clinic staff are able to investigate instances.

Featured Outcomes

  • For the first time, the organization has comprehensive wrong-patient order data, and has the ability to truly understand the number of wrong-patient orders.

Mothers and Babies Benefit From Cost-Saving Substance Use Disorder Program

Community Health Network (CHNw) observed higher than national rates of maternal substance use disorder, with a higher number of pregnant women having positive drug screens for opioids, cocaine, amphetamines, barbiturates, and benzodiazepines. It developed a care coordination and substance use program to help reduce the incidence of substance use disorders among pregnant women. Using its data platform and analytics applications, CHNw was able to evaluate the impact of various process measures on patient outcomes.

Featured Outcomes

  • $764K in savings by reducing the variable cost per case across the CHNw system over two years, and a 39.9 percent relative reduction in neonatal length of stay (LOS).
  • Babies whose mothers took buprenorphine had a 25 percent lower incidence of neonatal abstinence syndrome (NAS) than babies whose mothers took methadone and spent 15.5 fewer days in the hospital.
  • 20 percent more patients on buprenorphine tested negative for opiates at the time of delivery than the patients taking methadone.
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