Allina Health

Data-Driven Workflow Improves Diabetes Education Program Effectiveness

To optimize the impact of its diabetes self-management education program, Allina Health enhanced its service model, aligning resources to proactively meet patient demand, while also maintaining high-quality clinical outcomes. Utilizing analytics in the redesign process has allowed Allina Health to understand patient needs better and monitor the impact of planned changes to the program on patient outcomes.

Predictive Analytics: Making Patients Safer Through Event Reporting and Prediction

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.

Using Analytics to Improve Patient Safety Surveillance Makes Patients Safer

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:

Increasing Collections by Acting on Predictions of Propensity to Pay

With patients responsible for an increasing amount of their healthcare costs, self-pay accounts are now the top contributor to bad debt for hospitals and health systems—accounting for more than $55 billion annually. Allina Health partnered with Health Catalyst, using catalyst.ai™, to create a predictive model that could successfully support a propensity to pay strategy.

Analysis Reveals that Pharmacist-led Medication Therapy Management Reduces Total Cost of Care

Learn how Allina Health leveraged its analytics platform and Health Catalyst professional services to perform an analysis demonstrating the impact of pharmacist-led medication therapy management (MTM).

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.

Reducing Sepsis Mortality and LOS with Improved Recognition and Treatment Protocols

In the U.S., over 1.5 million people are treated for sepsis annually, and one in four people with sepsis die. Read how Allina Health utilized its analytics platform to identify opportunities for improvement and develop evidence-based processes for sepsis identification and treatment.

Reducing Opioid Availability with Improved Prescribing Practices

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.

Enabling Informed Surgical Choices for Breast Cancer Through Shared Decision Making

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.

Shared Decision-Making Leads to Better Decisions and Improves Patient Relationships

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.

Improving Accuracy of Clinical Documentation Positively Impacts Risk Adjustment Factor and HCC Coding

Improving accuracy of clinical documentation can impact risk adjustment factor and HCC coding, significantly enhancing reimbursements for health systems. Read how Allina Health leveraged its analytics platform and applications to help improve HCC coding efforts and more accurately reflect patient complexity.

Dedication to Quality Improvement Delivers on the Triple Aim: Saves Tens of Millions Annually

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.

Enhanced Recovery Program Improves Elective Colorectal Surgical 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.

Opportunity Analysis Permits Successful Execution of At-Risk Contracts

Growth in the government payer mix and an increased cost burden to the commercial population, decreases in the private payer population, and programs like the Medicare Shared Services Program, have caused joint ventures, partnerships, and co-branding efforts, better known as at-risk contracts, between payers and providers to increase.
Allina Health has three Integrated Health Partnership (IHP) contracts, an accountable care model that incentivizes healthcare providers to take on more financial accountability for the cost of care for Medicaid patients, which cover approximately 90,000 members. To achieve success in its IHP contracts, and avoid losses, Allina Health needed to reduce healthcare costs while improving patient outcomes and experience.
Allina Health has integrated several data sources, including claims and developed the infrastructure required to perform opportunity analysis. Using data and analytics for opportunity analysis has given Allina Health insight into its IHP patient population, supporting the development of interventions to decrease the total cost of care and improve outcomes.

Advancing Health Equity – Data Driven Strategies Reduce Health Inequities

Health equity means that everyone has an equal opportunity to live the healthiest life possible – this requires removing obstacles to health. The U.S. ranks last on nearly all measures of equity, as indicated by its large, disparities in health outcomes. Illness, disability, and death in the United States are more prevalent and more severe for minority groups. Health inequities persist in Minnesota as well, which motivated Allina Health to take targeted actions to reduce inequities.
Allina Health needed actionable data to identify disparities and to reduce these inequities. This came in the form of REAL (race, ethnicity, and language) data, which Allina Health analysts used to visualize how health outcomes vary by demographic characteristics including race, ethnicity, and language.  To understand the root causes of specific disparities as well as to identify solutions within their sphere of influence as a healthcare delivery system, Allina Health consulted the literature and also consulted patients, employees and community members. Then Allina Health created appropriate interventions based on this information.
As a result, Allina Health created an awareness of the health inequities among its patient populations, as well as effective approaches to breach the barriers that were preventing these patients from getting the care they needed. While much work remains in this long journey to achieve health equity, Allina Health has taken some significant steps forward, including:

Three percent relative improvement in colorectal cancer (CRC) screening rates for targeted populations, exceeding national CRC screening rates by more than ten percentage points.
REAL data embedded in dashboards and workflow to easily identify and monitor disparities.

Unleashing the Data to Sustain Spine Service Line Improvements

Research shows that despite an increase in the number of improvements in clinical, cost, and operational outcomes, there is a lack of sustained improvements. Some of the key challenges can be access to the data and analytics, and adherence to data-driven clinical standards, things the Allina Health Spine Clinical Service Line (CSL) clinical leadership team experienced.
By providing widespread access to the data and analytics, the Spine CSL at Allina Health has been able to continue its reduction in LOS and further improve its reduction in complications, all while increasing cost savings and achieving pay-for-performance incentives.
Results:

$1 million in pay-for-performance incentives received.
More than $2 million in supply chain savings, a result of data-driven clinical standardization.
31 percent of expected complications avoided.
22 percent relative reduction in surgical site infections.

Blood Conservation Program Yields Millions of Dollars in Savings

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.
Results:

$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

Data-Driven Approach Identifies Nearly $33 Million of Savings Annually

Today’s healthcare industry, in which a lack of insight into clinical variation has contributed to increased expenses, has significant opportunities to use data and analytics to improve outcomes and reduce costs. As part of its ongoing commitment to improve clinical value, Allina Health has employed a systemwide process to identify, measure, and improve clinical value. The health system has been able to quantify the value of clinical change work to improve outcomes, while reducing costs and increasing revenue for reinvestment in care.
Allina Health achieved the following meaningful results with this collaborative, data-driven opportunity analysis process:

Identified nearly $33 million in potential cost savings for the first three quarters of 2017.
Achieved over $10 million of confirmed savings during the first three quarters of the year.
Elevated discussions of cost concerns, leading to the development of standard processes, and significantly reducing unwarranted clinical variation.

Clinical Data Abstraction as a Service Improves Accuracy and Efficiency

Allina Health needed to ensure the data it reported to regulatory agencies was timely and accurate. The integrated health system sees 100,000 inpatient hospital admissions annually, 340,000 emergency care visits, and 6,000 physicians and 1,600 nurses providing and documenting care. Due to the sheer volume of patients and employees, clinical data abstraction at Allina Health is not a small undertaking.
Looking to stay compliant while reducing resource utilization, Allina Health sought to change its workflow procedures for faster, more accurate clinical data abstraction. A large amount of clinical data required for compliance with CMS performance measures and Joint Commission Core Measure resides in unstructured data, such as narrative notes, which require manual data abstraction. With the help of data analytics, Allina Health was able to develop evidence-based standardized processes for clinical reporting and automate some clinical data abstraction.
Results:

76 percent relative improvement in time to data availability at each site. Data is typically available within 14 days of discharge, far exceeding the 30-day target.
95.5 percent accuracy for CMS validation.

How Allina Engaged Clinicians and Analytics to Improve Influenza Vaccination Rate

Influenza, a contagious respiratory illness spread by droplets, can lead to hospitalization and even death. Millions of people get influenza each year, hundreds of thousands are hospitalized, and thousands to tens of thousands die from influenza related causes each year. The key to preventing a devastating outbreak is vaccinating enough people that an outbreak is unlikely.
When Allina Health identified that its own rates for influenza vaccination were lower than desired, the health system studied data gleaned from its EHR and an Analytics Platform from Health Catalyst, which includes a Late-Binding™ Enterprise Data Warehouse and broad suite of analytics applications, to understand its true current vaccination performance. The data revealed that changes were in order, which Allina put in place through clinician feedback, engagement, and education.
Results:

4.8 percentage point improvement in influenza vaccination rate, exceeding the Healthy People 2020 goals for vaccination.

Combatting Opioid Abuse with Data-Driven Prescription Reduction

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.
Results:

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.

Enhancing Mental Health Care Transitions Reduces Unnecessary Costly Readmissions

Nationally, hospitalization for persons with mental health disorders has increased faster than hospitalization for any other condition. Of concern is the lack of bed space to intake these patients on a timely basis. In Minnesota, for example, more than 50 percent of available state psychiatric beds were closed between 2005 and 2010. Furthermore, readmission rates for patients with mood disorders is higher than any other mental health condition, with 15 percent readmitted within 30 days of hospital discharge and up to 22.4 percent of patients with schizophrenia being readmitted. While the average cost of a readmission in the U.S. is approximately $7,200, of greater concern is hospital readmission represents poor patient outcomes related to lack of adequate access to community mental health resources and challenges with adherence to care plans needed to prevent chronic relapse.
In response to these challenges, Allina Health put a new care transition process in place, redesigned workflow, and added key patient support roles. To measure the effectiveness of new interventions, Allina relied on the Health Catalyst Analytics Platform, which includes the Late-Binding™ Enterprise Data Warehouse and a broad suite of analytics applications.
Results:

27 percent relative reduction in potentially preventable readmission rate.
80 percent patient retention rate in established outpatient mental health services.

Data-Driven Process Improvement Raises Patient Safety for Highest-Risk Medication

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.

How Allina and Minnesota Perinatal Physicians Lowered Stress and Raised Satisfaction for High Risk Maternal Patients

Assuring patient satisfaction can be challenging, particularly when providing care to pregnant women with high-risk pregnancy conditions. As one of the foremost perinatal practices in the country, Minnesota Perinatal Physicians (MPP) acted swiftly to end a significant delay in scheduling ultrasound appointments, and reduced wait times for other visits.
With an aim to improve patient care and experience, the maternal fetal medicine (MFM) specialists at MPP, employees of Allina Health, leveraged Allina’s “Improving Clinical Value” Program—an initiative that has elevated the patient care experience for numerous other patient populations while simultaneously lowering the per capita cost of care for each one.
Results:

$210,000 in increased revenue because of improved access, projected to be $280,000 within 12 months.
20.8 percent relative improvement in no-show rate.
20 percent increase in available ultrasound appointments and an 18.2 percent increase in utilization.

Data-Driven Clinical Documentation Improvement Program Increases Revenue and Improves Accuracy of Risk Adjusted Quality Metrics

Allina Health, an integrated delivery system throughout Minnesota and western Wisconsin, has long understood the value of clinical documentation improvement (CDI), and its growing importance in recent years. With the implementation of ICD-10, the specificity needed for accurate coding has increased, and reimbursement shifts have occurred as well, creating sizeable payment disparity for some clinical conditions. Leaders at Allina wanted to understand where their CDI program would have the greatest return on investment. However, data from the EHR was not sufficient to inform their strategy. CDI specialists still lacked the ability to perform a comprehensive assessment of the accuracy of clinical documentation, and were unable to confidently target improvement efforts in areas that would generate the greatest return on investment. To take a more data-driven approach, team members leveraged the Health Catalyst Analytics Platform, including their Late-Binding™ Data Warehouse and broad suite of analytics applications to develop a CDI analytics application. With the application, the team identified opportunities and thoroughly vetted them, before collaborating with physicians and service line leaders to educate providers on documentation improvements.
They achieved the following results:

12.1 percent improvement in CV surgical cardiology CC/MCC capture rate.
6.3 percent increase in medical cardiology CC/MCC capture rate.
Increased accuracy in publically reported risk adjusted quality metrics
Revenue capture improvement across the system – resulting in millions of dollars of additional reimbursements.