Quality & Process Improvements

Success Stories

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$17.4M Saved Through Analytics-Driven Patient Blood Management Improvements

UnityPoint Health created a task force to develop and implement a plan for maximizing blood management. The task force incorporated decision support to improve transfusion ordering in alignment with the transfusion standards. An analytics platform has also been leveraged, which monitors the utilization of blood products, including predictive modeling to risk-adjust blood utilization specific to patient case-mix, and data down to the ordering provider level.

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Removing Discharge Barriers Reduces Hospital Length of Stay

Length of stay (LOS) is an essential indicator of hospital operational efficiency. Albany Med compared its performance with benchmark data and determined that it could improve inpatient LOS. By convening a multidisciplinary team of providers committed to decreasing hospital LOS and leveraging its data and analytics platform, Albany Med was able to uncover underlying issues causing unnecessary extended hospital stays and substantially reduce LOS.

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Data-Driven Evidence-Based Practices Reduce Clostridioides Difficile Infections

To improve the care of patients with Clostridioides difficile (C. diff), Thibodaux Regional Medical Center used data and analytics to monitor completion of early recognition screening, protocol compliance, antimicrobial stewardship rounds, and probiotic administration. Thibodaux Regional’s leadership, culture, evidence-based practices, and data-driven improvement approach have positively impacted its patients.

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Data-Driven Labor Management Delivers Financial and Operational Improvements

Managing and retaining a talented workforce represents approximately 60 percent of hospital costs. In an effort to improve staffing efficiency, Hawai‘i Pacific Health (HPH) sought to realign its staffing practices to better manage and predict its labor needs. Utilizing its data platform and analytics, HPH was able to forecast its workforce needs and effectively manage staff schedules—two changes that led to significant cost savings.

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Data-Driven Approach Improves Evidence-Based Trauma Care

Mission Health trauma services provide evidence-based care. Despite its efforts to measure the impact of this care on outcomes, the overwhelming burden of manual data review limited its ability to effectively monitor key process measures in a timely manner. This prompted Mission to use data and analytics for timely insights into injury-specific process measure performance and concurrent chart review to improve trauma care.

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Actionable Analytics Enables Improved Care, Reduced LOS, and Costs in Patients with Traumatic Brain Injury

To provide high-quality, cost-effective care to patients with traumatic brain injury (TBI), Mission Health needed insight into individual patient and provider performance data. Without access to accurate data, Mission couldn’t accurately pinpoint patient outliers, understand causes of TBI, and identify opportunities to improve TBI patient care. By utilizing its data platform and analytics accelerators, Mission was able to utilize patient data to identify patients suffering from TBI.

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Trauma Program Analytics Improves Emergency Department Throughput

To leverage data from its trauma registry database to improve patient outcomes, Mission Health utilized its data platform and analytics, providing real-time access to data and a more comprehensive understanding of each trauma case. With an analytics-driven approach, Mission reduced emergency department (ED) length of stay (LOS) for patients with Level II trauma activation across its populations.

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Improving Data Integrity Leads to Lower Supplies Costs

Annually, U.S. hospital supply chain overspend costs an estimated $25.4 billion, which represents 30 percent of all hospital spending. Utilizing data and analytics, Hawai’i Pacific Health gained a deep understanding of its supply chain processes and data, allowing it to improve and maintain the reliability of this information, leading to meaningful and sustained improvements across the system.

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Big-Data and Prescriptive Analytics Decreases Pediatric Sepsis Mortality

Pediatric sepsis remains a key concern for hospitals due to the serious nature of the disease. Early diagnosis and timely care are a top priority, as this significantly improves a patient’s chance of recovery. With the help of big data and prescriptive analytics, Texas Children’s Hospital developed an early alert system and workflow changes to improve its pediatric sepsis care. The hospital’s investment in new processes, decision support, and analytics has substantially improved pediatric sepsis outcomes.

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Data Accessibility and Analytics Enables Data-Driven Emergency Care

Thirty percent of the entire world’s data is generated in the healthcare industry, with valuable information often locked in the EMR. For Orlando Health, the data required by operational leaders to effectively run emergency department operations were not easily accessible. By utilizing its analytics platform, Orlando Health leadership has expanded access and visibility to data to drive improvement efforts.

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Data-Driven Approach Successfully Engages Orthopedic Surgeons in Decreasing Opioid Use

Community Health Network (CHNw) was keenly aware of the impact that opioid prescribing patterns have on potential opioid misuse and set a focus on decreasing opioid prescriptions; however, it lacked access to meaningful data that could be used to understand the volume of opioids that were prescribed postoperatively. CHNw created an orthopedics guidance team and leveraged data within its analytics platform to gain insight into prescribing habits over time.

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Analytics Helps Population Health Coordinators to Better Treat Chronic Conditions

Improving the management of chronic diseases for patients is crucial for reducing expenses and improving health outcomes. Newton-Wellesley Hospital, a member of the Partners HealthCare system, adopted the population health coordinator role and utilized analytics to help identify variations in chronic disease management across practices and develop standardized best practices aimed at reducing costs through better outcomes for patients.

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Consistent Improvement Methodology Accelerates Healthcare Outcomes

For healthcare organizations, the ability to analyze problems and implement timely, effective improvements is necessary to maintain a competitive advantage, requiring a consistent, systematic approach to introduce and implement change. By developing a new strategy focused on uniform adoption, education, and ongoing oversight, Community Health Network changed the way it approached all organizational improvement efforts.

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Data-Driven Operations Leverage Timely Data to Triple the Number of First Cases Starting on Time

Operating room (OR) costs are substantial—time in the OR can cost between $22 and $133 per minute. Even a slight delay in start time can cost organizations hundreds of thousands, if not millions, annually. Learn how John Muir Health utilized analytics in the OR—giving the organization the ability to access the data it needed to educate staff on the reasons behind delays so that start times could be improved.

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Quality as Strategy Transforms Care

Read how Allina Health is transforming healthcare by embracing a vision of the future where 100 percent of healthcare services add value, and everyone has access to quality, compassionate care. Utilizing data and analytics to drive its improvement efforts, the health system has continued to improve and sustain outcomes.

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Readiness Assessment Key to Sustainable Outcomes Improvement

Healthcare is undergoing a significant transformation, requiring an objective way for organizations to understand its strengths and weaknesses relative to outcomes improvement and readiness for change to improve patient outcomes. Read how UnityPoint Health utilized an outcomes readiness assessment tool to successfully identify its competency levels, providing a clear direction for its improvement efforts.

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