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.
Quality & Process Improvements
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.
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.
Over the past twenty years, the U.S. has experienced a national opioid misuse and abuse crisis. By utilizing data and analytics, Allina Health has improved its opioid prescribing practices and further reduced the number of opioids prescribed for acute pain.
Healthcare-associated infections (HAIs) remain one of the greatest risks patients face while hospitalized. Read how The University of Kansas Health System used lean management methodologies and its analytics platform to reduce HAIs.
There are more deaths from lung cancer than from any other type of cancer—more than 155,000 deaths annually. Learn how Mission Health utilized its analytics platform to improve the screening and outcomes for patients with lung cancer.
In the U.S., 5.7 million adults have heart failure (HF), costing the nation an estimated $30.7 billion each year. Learn how MultiCare leveraged AI and machine learning to more accurately predict the readmission risk for patients with HF.
Improving transitions of care from hospital to home is key to reducing readmissions for patients with pneumonia. Learn how Piedmont Healthcare used data to effectively manage care transitions and reduce readmissions in less than one year.
In the U.S., nearly one in three women give birth via cesarean delivery. Unnecessary cesarean deliveries can expose mothers and babies to possible harm without providing many benefits. Read how Gunnison Valley Hospital reduced the number of unnecessary cesarean deliveries by standardizing labor and delivery care practices and utilizing data from its analytics platform.
Shared decision making can help patients with breast cancer make the best surgical choices. Learn how the Virginia Piper Cancer Institute, part of Allina Health, implemented shared decision making, helping patients choose the surgical option that meets their personal preferences and medical needs.
Patients shouldn’t have to make difficult medical decisions on their own, nor should they feel coerced into making a specific choice; it’s a fine balance. Read how Allina Health’s shared decision-making program has helped patients deal with this delicate process.
To address physicians’ concerns with value-based care requires timely and actionable data for generating insights and initiating improvement programs. Read how Acuitas Health utilized its analytics platform to support the development of practice intelligence profiles—comprehensive views of partner practices used by the practice intelligence team to increase provider engagement and strengthen improvement efforts.
Unwarranted variation in clinical care is costly, representing as much as $30 million of actionable savings opportunity for a typical organization. Allina Health launched its Clinical Value Program—a systemwide effort to measure and improve clinical value. The program quantifies the value of clinical change work to improve outcomes while reducing costs and increasing revenue for reinvestment in care.
In the U.S., sepsis impacts more than 1.5 million people annually, of which about 250,000 will die. Learn how Health Quest established a multidisciplinary sepsis committee to lead improvement efforts, including the use of analytics to combat sepsis mortality rates and improve patient outcomes.
Activity-Based Costing and Clinical Service Lines Team up to Improve Financial and Clinical Outcomes
Cost challenges in healthcare are threatening the future of many healthcare organizations and their ability to effectively care for patients. Read how UPMC took on these challenges by partnering activity-based costing and service line operations to gain insight into cost and clinical variation.