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.
Quality & Process Improvements
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.
Thibodaux Regional Health System had improved sepsis mortality rates, yet it recognized the challenges associated with sustaining and further improving care outcomes. Driven by a mission of patient-centered excellence that starts with the chief executive officer, the Board, and leadership, Thibodaux Regional’s sepsis care transformation team utilized its data platform and analytics applications to help facilitate data-driven, sustained 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.
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.
Albany Med’s clinical documentation improvement specialists provide high-quality care to complex, acute-care patients; however, Albany Med was experiencing lower reimbursement rates due to gaps in clinical documentation. The organization created a seamless process for clinical documentation with the use of an analytics application as driven by clinical leadership.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
For patients, safety in hospitals and health systems remains a serious concern as medical errors are now the third leading cause of death in the U.S. Determined to improve patient safety, Allina Health turned to predictive analytics to standardize and expand safety event reporting.
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.
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.
Partners HealthCare utilized technology—including its analytics platform, analytics applications, and EMR—to collect data about serious illness conversations and to evaluate the impact of those conversations on trends at the end of life.
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.
Read how The University of Kansas Health System embraced the implementation of an advanced analytics team to help the healthcare system unleash the data capabilities needed to become a data-driven organization.
Read how UnityPoint Health leveraged information from a readiness assessment, an opportunity analysis, and expert resources, enabling the organization to establish a prioritization and implementation strategy to drive outcomes improvement and reduce clinical variation.
An efficient accounting closing process delivers timely and accurate information to guide decisions and operational adjustments. Learn how UPMC implemented an analytics-driven cost management system, supporting a 50 percent reduction in the time needed to complete month-end close.
Read how Memorial Hospital at Gulfport embraced the challenge of reducing LOS to lower costs and improve outcomes for its patients. Its commitment to a data-driven, multi-pronged approach to reducing LOS has produced impressive results in one year.