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.
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.
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.
Chronic knee and back pain associated with morbid obesity increases the risk for opioid dependence among patients undergoing bariatric surgery. Mission Health sought a comprehensive, data-driven, evidence-based approach to reduce opioid prescribing after bariatric surgery, decreasing the risk for misuse and harm. By using comprehensive ERAS protocols with multimodal pain management interventions, Mission realized substantial reductions in opioid use for pain management among patients undergoing bariatric surgery, including a:
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.
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.
Medical errors account for 10 percent of all deaths. To improve patient safety, Allina Health utilized its machine learning, analytics platform, and a trigger-based data-driven surveillance tool to identify and investigate a broader base of harm events, enabling the organization to:
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.
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.
Contemporary colorectal surgery is often associated with long LOS, high costs, and surgical site infections (SSI) approaching 20 percent. Much of the LOS variation is not attributable to patient illness or complications, but most likely represents differences in practice style. Successfully reducing SSI requires a multimodal strategy under the supervision of numerous providers with high compliance across the spectrum.
Allina Health was using established, evidence-based clinical guidelines, yet clinical variation remained high across pre-arrival, preoperative, intraoperative, and postoperative care areas, leading to substantial variation in LOS, cost of care, and the patient experience. To ensure greater consistency, Allina Health developed an enhanced recovery program (ERP) for patients undergoing elective colorectal surgery, which built standard protocols into the EHR to address elements of care from pre-arrival through post-discharge.
To facilitate the program and monitor performance, Allina Health developed an ERP analytics application with an administrative dashboard to easily visualize first-year results:
78 percent relative reduction in elective colorectal SSI rate.
19 percent relative reduction in LOS for patients with elective colorectal surgery.
82.4 percent utilization of preoperative and postoperative order sets, increasing the consistency of care and reducing unwarranted variation.
Every three seconds, someone in the United States will need a blood transfusion, which adds up to nearly 17 million blood components transfused annually. Yet, evidence shows that up to 60 percent of red cell transfusions may not be necessary. In 2011, Allina Health, a healthcare delivery system that serves Minnesota and western Wisconsin, had a wide variation in transfusion practices throughout the system and a transfusion rate that was 25 percent above national benchmarks. In an effort to improve outcomes of high-risk transfusions, Allina Health turned to its data to develop an evidence-based blood conservation program aimed at reducing costs and saving valuable blood resources.
$3.2M decrease in annual blood product acquisition costs since 2011
30,283 units saved annually
111 units of red cells saved per 1000 inpatient admissions
Publicly reported measures of healthcare quality includes the Hospital Safety Score Grades which award a letter grade representing performance for 30 evidence-based measures of patient safety. An “A” represents the best Hospital Safety Score, followed in order by “B,” “C,” “D,” and “F.” In the fall of 2014, Piedmont’s Hospital Safety Score Grade for its five hospitals included four “C’s” and a “D.” This demonstrated a need to change its approach to quality improvement and ensure proper resources were allocated and aligned with the value chain, enabling it to efficiently conduct surveillance activities, perform analysis, and facilitate sustained outcomes improvement.
To increase capacity for performing more value-added work, Piedmont leveraged its analytics platform to automate surveillance activities and monitor the effectiveness of quality improvement efforts. These tools helped Piedmont redesign its quality improvement efforts, resulting in a:
35 percent relative reduction in healthcare facility acquired infections per patient day.
50 percent reduction in the time required for peer review.
50 percent reduction in the time to implement improvement projects.
Despite being common, healthcare-associated infections are potentially deadly and carry a significant financial cost. Of healthcare associated infections, catheter-associated urinary tract infections (CAUTI) are one of the most common, despite most instances of CAUTI being preventable.
As CAUTI was determined to be one of the top five influential factors in the publicly report quality scores, Piedmont Healthcare looked to data for more visibility into factors that were contributing to CAUTI rate in an effort to permanently reduce the number of infections. By engaging staff for compliance with CAUTI prevention best practices, Piedmont has seen sustainable improvements.
50.2 percent relative reduction in CAUTI standardized infection ratio (SIR). This translates to 37 fewer patients with infections than expected.
6.7 percent relative improvement in insertion bundle compliance.
Maintenance bundle compliance improved dramatically, with nearly a three-fold increase in the percentage of patients receiving the maintenance bundle.
Nationally, readmission within 90 days after colorectal surgery occurs in about one in four patients, at a cost of approximately $9,000 per readmission. Committed to improving its clinical and financial outcomes, MultiCare, an integrated healthcare delivery system in the Pacific Northwest, decided to focus an improvement effort on elective colorectal surgery when it recognized that patient population had a high opportunity for improvement in both clinical outcomes and cost.
Effectively using its existing quality improvement methodology and Collaborative structure, MultiCare leveraged the work of the Enhanced Recovery After Surgery (ERAS) Society and identified and implemented standardized best practice care routines and interventions that would benefit this population. By using the information in the Enterprise Data Warehouse and analytics applications to monitor clinical outcomes and compliance, and leveraging technology in the EHR to provide decision support and order sets at the point of care, MultiCare was able to significantly improve the clinical outcomes for these patients.
19 percent reduction in readmission rates.
22 percent reduction in length of stay.
85 percent reduction in infections related to colorectal surgery.
Each day, 91 Americans die from an opioid overdose. Historically, illegal opioids, such as heroin, were the primary contributing factor to overdoses. Today, it is well understood that a driving force for opioid abuse is prescriptions, which contribute significantly to the overdose epidemic.
Following a series of adverse outcomes related to opioid misuse within the community, Allina Health sought to evaluate how it managed acute non-cancer pain in the outpatient setting, particularly among opioid-naïve patients. By leveraging the Health Catalyst Analytics Platform, including the Late-Binding™ Data Warehouse and broad suite of analytics applications, Allina Health obtained data on prescribing patterns and identified several opportunities to reduce the number of opioids prescribed.
980,527 fewer opioid pills prescribed in the outpatient setting in 2016, a 12 percent relative reduction.
1,079 fewer patients (with acute or chronic pain) receiving eight or more opioid pill prescriptions over 12 months, a 10.3 percent relative reduction.
13,391 fewer patients receiving opioid prescriptions for more than 20 pills, a 13 percent relative reduction.
Intravenous (IV) heparin is widely used to prevent thrombosis in a variety of clinical settings, yet it is considered one of the highest-risk medications used in the inpatient setting because of the potential for dosing errors. Allina Health identified multiple IV heparin protocols among its hospitals, a variation that increased the risk of errors. Standard practices that addressed patients’ clinical needs in a disease-specific way were lacking. Over the course of 1.5 years, more than 9,000 patients at Allina Health had an IV heparin protocol ordered, so IV heparin safety was of utmost concern.
To address this quality issue and improve clinical value, Allina Health created a systemwide interdisciplinary team to standardize IV heparin therapeutic guidelines and monitor the impact of the standard guideline on patient outcomes. Allina Health engaged multiple physician stakeholder groups to review proposed protocols and provide critical feedback to help ensure the best possible patient care and safety. To effectively monitor IV heparin outcomes, patient safety, and the impact of the new, standard guidelines and protocols, Allina Health developed an anticoagulation safety analytics application, using the Health Catalyst Analytics Platform, including the Late-Binding™ Data Warehouse and broad suite of analytics applications. These outcomes improvement efforts resulted in:
A seven percent relative improvement in the percentage of patients therapeutic within 24 hours of protocol initiation.
Paring 20+ site-based documents (e.g., policies, protocols, and order sets) to one systemwide guideline and four systemwide protocols.
Since 2004, the US healthcare system has annually ranked last relative to 10 other developed nations in quality, access, efficiency, equity, and health outcomes. In an effort to improve the quality of care and patient outcomes in the U.S., the Center for Medicare and Medicaid (CMS) launched a series of quality incentive programs designed to generate a shift from volume to value-based reimbursement. The health insurance industry soon followed their lead, and started writing contracts with hospitals in which a percentage of payment was based on performance on selected quality metrics.
Faced with the challenge of reporting on numerous incentive programs with differing expectations, Mission Health leveraged their enterprise data warehouse to aggregate the data needed to track the quality measures. With millions of dollars on the line with one particular payer, Mission developed an analytics application to monitor performance on the metrics in that contract. The application was used to analyze whether performance feedback and workflow changes would lead to improved performance on the metrics, thus ensuring that they would maximize reimbursement, while improving care for patients.
Achieved 100 percent of all at risk dollars.
100 percent of the ambulatory metric targets were exceeded, some by as much as 19 percent.
All five hospitals exceeded targets for 80 percent or more of their inpatient metrics.
Each year, more than 12,700 pediatric patients are diagnosed with diabetic ketoacidosis (DKA), a life threatening complication of diabetes. Texas Children’s Hospital sought a way to accurately predict risk of DKA in time for care team members to intervene before these patients suffered a severe episode.
The health system ultimately formed a multidisciplinary high risk diabetes team to devise pre- and post-discharge strategies, and DKA risk prediction tools aided by the Health Catalyst Analytics Platform built using the Late-BindingTM Data Warehouse.
30.9 percent relative reduction in recurrent DKA admissions per fiscal year.
90 percent of all patients with new onset type 1 diabetes at the Medical Center Campus have a documented RIPGC in their medical chart.
100 percent of patients with type 1 diabetes have a risk index for DKA documented every 6 months.
Unprecedented changes in the healthcare payment system have resulted in health organizations across the country investing in the pursuit of the Institute for Healthcare Improvement’s (IHI’s) Triple Aim to improve population health, improve patient experience and outcomes, and reduce costs per capita. Health organizations must develop effective population health management strategies, and they need the right data and analytics to inform their initiatives.
Once armed with the information to make data-driven decisions, leading healthcare providers are implementing care management programs, which have proven to be helpful mechanisms for achieving the Triple Aim. Many healthcare organizations have identified specific patient cohorts to monitor the impact of care management interventions on individual and population health outcomes.
Data-driven care management programs that target high-risk and rising-risk patients can achieve impressive results, including:
Up to 20 percent lower rates of hospitalization in mature care management programs.
Lower rates of emergency department utilization.
A stay in the intensive care unit (ICU) is both costly and risky. In a sobering example of the latter, nearly one third of patients admitted to the ICU experience delirium, a state of cognitive impairment that can increase risk of death in the hospital. Still, many cardiovascular patients need intensive care that can only be provided safely in an intensive care unit, requiring hospitals to assure enough beds and skilled ICU staff for these patients—while quickly identifying which patients can receive care as good or better in another unit.
Allina Health has achieved this dual objective with a concerted ICU avoidance strategy for specific complex sub-populations of cardiovascular (CV) patients. The foundation of this strategy is risk-informed decisions about which patients can avoid the ICU; clinical staff education; and an analytics platform and enterprise data warehouse (EDW) from Health Catalyst that enables CV care leaders to monitor safety metrics for those patients who avoid a stay in the ICU. So far, Allina Health’s efforts have resulted in the following achievements:
636 additional ICU days made available for more critically ill patients by employing ICU avoidance strategies
One-day reduction length of stay (LOS) for Transcatheter Aortic Valve Replacement (TAVR) patients
$589,000 cumulative cost savings
Post Operative Atrial Fibrillation occurs in up to 30 percent of all patients after cardiac surgery. This serious complication increases the length of the patient’s hospital stay, and is associated with a twofold increase in the incidence of cerebral infarction and an increased risk of 30-day mortality. Timely and consistent management of Post Op Afib can prevent significant complications and help prevent death. To standardize such an approach to managing Post Op Afib, Allina Health’s Minneapolis Heart Institute created a physician committee to raise consensus on and develop a protocol for Post Op Afib management.
The committee ultimately created a nurse-driven protocol and decision support algorithm linked to the health system’s electronic health record (EHR). Additionally, it uses analytics, supported by Health Catalyst’s Late-Binding™ Enterprise Data Warehouse (EDW), to track physician ordering rate, patient outcomes, and cost. This combination of people, processes, and analytics tools has made a significant difference for Allina and its patients.
Two-day reduction in ICU LOS.
5.9 percentage point reduction in ICU readmission rate.
$1.5 million savings.
Percutaneous Cardiac Intervention (PCI) is a minimally-invasive alternative to open heart surgery—a procedure that approximately 600,000 U.S. patients will undergo this year.
Allina Health, a non-profit health system with 90+ clinics and 13 hospitals with locations throughout Minnesota and western Wisconsin, is a leading provider of the procedure in Minnesota. Allina Health discovered that major bleeding events following PCI procedures (the most common non cardiac complication of PCI), though not affecting mortality, were increasing length of stay (LOS) and cost.
To improve the quality of its PCI procedures and decrease costs, Allina Health recognized the need to accurately assess bleeding risk and then implemented best-practice interventions to prevent major bleeding events.
Already, physicians and patients have seen that these new interventions, which includes a bleeding risk assessment tool, allows clinicians to focus interventions based on risk and reduce complications. The top results from Allina Health’s interventions include:
5.3 percentage point reduction (a 21.7 percent relative reduction) in complication rate.
$1.8M cost savings.
1.4 percentage point reduction (a 36.5 percent relative reduction) in LOS for patients at high risk for bleeding who receive a closure device.
By the age of 60, more than one-third of women in the United States have had a hysterectomy. Healthcare systems across the country are recognizing that a women’s health service line offers a pathway to improving care and decreasing cost for these patients. Having accurate activity-based costing information is necessary to uncover opportunities for clinical practice improvement and cost reduction.
The University of Pittsburgh Medical Center (UPMC) made the decision to organize Women’s Health as a service line across the entire health system. UPMC fortified this approach with strong and collaborative leadership, an enterprise data warehouse, and an activity-based cost management system. The results:
20 percent reduction in inpatient length of stay for hysterectomies (over a three-year time period)
34 percent reduction in open hysterectomies
28.3 percent reduction in 30-day readmissions for hysterectomies
These results were obtained during a time when this clinical service saw a 25 percent improvement in its contribution margin.
The U.S. healthcare system is the most expensive in the world, but data consistently shows the U.S. underperforming relative to other countries on most dimensions of performance. The Centers for Medicare & Medicaid Services’ (CMS’s) accountable care organization (ACO) model is aimed at addressing that issue by offering financial incentives for providers to improve the health of populations and reduce costs through greater efficiencies and a focus on preventive care.
Mission Health formed a Medicare Shared Savings Program (MSSP) ACO called Mission Health Partners (MHP), which is responsible for 40,000 patient lives. MHP knew that its manual approach to data collection and reporting would not be sufficient for the required ACO quality metrics. By leveraging a previously implemented enterprise data warehouse platform and implementing an ACO MSSP analytics application, MHP was able to automate the processes of data-gathering and analysis and align the data with ACO quality reporting measures. The visibility and transparency of near real-time, online performance data coupled with focused process improvement has resulted in subsequent improvement in all 33 of the ACO performance metrics. Specifically, improvements have included:
9.6 percent increase in compliance over all reported ACO metrics, with 23,000 more patients receiving recommended treatment or screenings.
98.9 percent of eligible patients received screenings for clinical depression and follow up.
40 percent increase in number of patients receiving any cancer screening; 46 percent improvement in the number of patients receiving colorectal cancer screening.
456 percent increase in the number of patients getting fall risk screening.