Integrated Delivery System

Success Stories

Health Catalyst

Quality as Strategy Transforms Care

Wasteful spending in healthcare now exceeds $1 trillion annually, which is double the money required to fund Medicare each year. Allina Health, a non-profit healthcare system, embraced a vision of the future where 100 percent of healthcare services add value, and everyone has access to quality, compassionate care.
Allina Health president and chief executive officer Dr. Penny Wheeler recognized the critical importance of data and analytics to measure and track performance. To meet those needs, the organization leveraged its analytics platform, using the integrated clinical, financial, and operational data to enable, measure, and scale data-driven improvement initiatives. With input from users, the analytics platform delivers ready access to the data and information providers and operational leaders need to improve and sustain outcomes.
Since undergoing this healthcare quality improvement initiative, select results include:

Improved care for spine patients.

31 percent of complications avoided.
22 percent relative reduction in SSIs.
$1 million VMP incentives received and over $2 million additional cost savings.

Enhanced recovery program elective colorectal surgery improvements.

78 percent relative reduction in elective colorectal systemwide surgical site infections.
19 percent relative reduction in systemwide length of stay, saving $90K in just six months.

Read more
My Folder
Health Catalyst

Improving Identification of Hospitalized Patients with Sepsis

Patients who are diagnosed with sepsis present on admission (POA) account for nearly 85 percent of cases. However, outcomes for patients with sepsis not on arrival (NPOA) are poorer due to higher acuity of the sepsis at the time of diagnosis. Because of the challenge associated with the early identification of sepsis for hospitalized patients, those with sepsis NPOA have a mortality rate as high as 35 percent, making outcome improvements for this patient population a top priority for hospitals.
Mission Health, a comprehensive healthcare system located in Asheville, North Carolina, sees the early identification of sepsis as a key part of achieving its goal of providing exceptional patient care. However, Mission lacked a mechanism to assist the clinicians in differentiating between sepsis and the patient’s acute illness, making the early diagnosis of sepsis challenging, negatively impacting outcomes. With the help of data analytics, Mission was able to gain a comprehensive view of sepsis outcomes, so that improvement efforts that help clinicians identify and provide early intervention for patients who may be septic could be effectively implemented and sustained.
Results:

45.3 percent relative reduction in severe sepsis and septic shock NPOA mortality rate.
14.4 percent relative reduction in length of stay for patients with severe sepsis and septic shock NPOA.

Read more
My Folder
Health Catalyst

Integration of Community Health Workers Improves Care Management Effectiveness

While the delivery of healthcare is essential to staying healthy and getting well, it is not the only determinant of health. Other factors such as psychosocial factors and environmental conditions in which people live, work, and age can have a far greater influence. These factors are referred to as social determinants of health. Existing evidence has found that addressing social determinants of health like housing and food, is effective in improving patient health outcomes and decreasing healthcare costs.
Social determinants of health can significantly affect a person’s overall health and quality of life. Patients with social determinants that negatively impact health, such as lack of access to transportation and the place in which they live, can be exceptionally challenging to keep healthy and often rely on the emergency department (ED) for care. Reaching and engaging with patients in primary care settings can be vital to addressing patient needs. The positive influence of community health workers (CHWs) acting as a bridge between vulnerable patients and the healthcare system has shown to decrease emergency department visits and hospital admissions.
Partners HealthCare, a non-profit health system located in Boston, recognized that meeting the needs of vulnerable patient populations was an opportunity to improve patient outcomes as well as reduce cost. Through its integrated care management program (iCMP), the Partners system had some success in improving the care delivered to underserved communities. Partners’ academic medical centers, Brigham and Women’s Hospital and Massachusetts General Hospital, conducted pilots which focused on the CHW role; one model that empowered CHWs to serve as care leads, and one model that incorporated CHWs into the care team.
Results:
Integration of CHWs into the iCMP is yielding positive results for both pilots. Using a pilot conducted at Brigham and Women’s Hospital and Massachusetts General Hospital, when comparing the difference in six months post-program outcomes to six months pre-program outcomes:

When the CHW functions as a lead, results include a:

$664 larger per member per month (PMPM) reduction in total medical expense and an 11 percent larger reduction in ED visits compared to the control group.

When the CHW functions as a part of the care team, results include a:

$635 larger PMPM increase in total medical expense, however, patients with a CHW team member had a 28 percent larger reduction in ED visits, and an 11 percent larger decrease in office no-show rates compared to the control group.

Read more
My Folder
Health Catalyst

Optimizing Sepsis Care Improves Early Recognition and Outcomes

Early identification of sepsis is challenging, as the patient’s physical response to this overwhelming infection presents as a syndrome of non-specific symptoms, delaying recognition, diagnosis, and treatment, which increases mortality rates.
Mission Health, North Carolina’s sixth largest health system, had implemented evidence-based sepsis care bundles; however, processes for identifying patients with sepsis and initiation of care was fragmented and varied widely across the system, negatively impacting sepsis outcomes.
Using a comprehensive data-driven approach to facilitate early sepsis identification and standardize the treatment of sepsis, including the addition of evidence-based alerts, Mission has gained insight into sepsis performance to drive improvement. This approach has resulted in:

14.1 percent relative reduction in mortality for patients with severe sepsis and septic shock.
24.9 percent relative difference in mortality for patients that received the evidence-based protocols compared to those who did not—the evidence-based protocols substantially reduce mortality.
6.4 percent relative reduction in emergency department (ED) length of stay (LOS) for patients with severe sepsis and septic shock.
Four percent relative reduction in ICU LOS for patients with severe sepsis and septic shock admitted from the ED.

Read more
My Folder
Health Catalyst

Gaining a Competitive Advantage with an Advanced Analytics Team

The ability to effectively use data for strategic decision making is imperative for healthcare organizations in this era of increasing at-risk payment models and stiff competition. Yet, healthcare still lags behind most other sectors when it comes to the acquisition, storage, and analysis of data.
The University of Kansas Health System is a large academic medical system with more than 80 locations operating in two states, 999 licensed beds, and over 700 employed physicians. Recognizing the need to more effectively utilize data and analytics to help answer important strategic questions, the health system commissioned an advanced analytics team to help unleash the data capabilities needed to have a competitive edge.
Results:

In two short months, the team demonstrated its value, and the success of the pilot in answering important strategic questions which led to making the applied analytics team a permanent part of the new performance improvement department.
The implementation of an advanced analytics team enabled the health system to unleash its data, to probe and answer previously elusive key strategic questions, resulting in new clinical, operational, and financial insights and actionable knowledge the organization can immediately apply to improve its effectiveness.

Read more
My Folder
Health Catalyst

Boosting Readiness and Change Competencies Key to Successfully Reducing Clinical Variation

Reducing unnecessary clinical variation is necessary in today’s healthcare market for both clinical and financial reasons. Two major drivers for this are the shift from fee-for-service to value-based reimbursement and the need for improving clinical outcomes such as reducing complications and readmissions.
Leaders for UnityPoint Health, a healthcare system serving Iowa, western Illinois, and southern Wisconsin, recognized the importance of reducing clinical variation, and the need to have strong physician champions and robust analytics to effectively support improvement efforts. However, it also realized that without understanding organizational strengths and weaknesses related to adopting change and improving outcomes, it would struggle to successfully implement initiatives that delivered the desired benefits and sustained improvements over time. By consistently integrating information from a readiness assessment, an opportunity analysis, and expert resources, UnityPoint Health was able to establish a prioritization and implementation approach to outcomes improvement that has produced the following results:

Variable costs were reduced by more than $1.75 million based on the deployment of interventions in sepsis alerts, order sets, and other clinical decision support tools.
Reductions in length of stay have allowed patients to return home earlier and spend more than 1,000 additional nights in their homes.
Millions of clicks have been reduced for clinicians based on deployment of new sepsis screening tools.
36 percent increase in sepsis screenings completed in the emergency department (ED).
Sepsis order set utilization in the ED has increased by more than 185 percent.

Read more
My Folder
Health Catalyst

New Generation Activity-Based Costing Accelerates Timeliness of Decision Support

In healthcare, the timely delivery of patient-activity level cost metrics to clinical, financial, and operational leaders is critical; it allows the organization to respond to internal and external shifts and challenges to positively impact financial performance without negatively impacting patient care and the patient experience.
UPMC determined that the amount of manual effort needed to overcome the deficits of a suboptimal technical infrastructure and database supporting its cost management system drove many of the delays built into its closing process. After exploring the options to enhance and commercialize its cost management intellectual property, UPMC partnered with Health Catalyst to use the Health Catalyst® Data Operating System (DOS™) to co-develop and commercialize the CORUS™ suite activity-based costing module.
The new, analytics-driven cost management system supported a 50 percent reduction in the time needed to complete month-end close:

Three-day reduction in time to close.
Monthly preliminary results are typically reviewed within one business day, affording more time for validation and analysis.
Executives receive financial data up to three days sooner.
Reduction of 3.5 FTEs needed to complete the monthly close.
Reduced 60 human touchpoints and opportunity for error.
Multiple months of data can now be run simultaneously.
Provided support for new data-driven governance structure.

Read more
My Folder
Health Catalyst

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. One in four people with sepsis die, making improving early identification and providing patients with timely treatment a top priority. Hospitals and health systems continue to look to improve outcomes for patients with sepsis.
Allina Health, a not-for-profit healthcare system of 12 hospitals and 90 clinics, all serving patients throughout Minnesota and western Wisconsin, previously implemented a rapid process improvement project using a three-part bundle focused on the early identification of sepsis. However, sepsis mortality rates remained higher than desired. After turning to an analytics platform to replace its burdensome manual review process, Allina Health was able to identify opportunities for improvement and develop evidence-based processes for sepsis identification and treatment.
Results:

18.6 percent relative reduction in mortality rate and 10.9 percent relative reduction in hospital length of stay (LOS) for all patients with sepsis.
30.3 percent relative reduction in mortality rate and 18.4 percent relative reduction in hospital LOS for patients with severe sepsis and septic shock.
$1.1 million in annual cost savings, the result of efficiencies and substantial reductions in hospital LOS for patients with severe sepsis or septic shock.

Read more
My Folder
Health Catalyst

Systematic, Data-Driven Approach Lowers Length of Stay and Improves Care Coordination

Improving and reducing length of stay (LOS) improves financial, operational, and clinical outcomes by decreasing the cost of care for a patient. It can also improve outcomes by minimizing the risk of hospital-acquired conditions.
Faced with declining revenue related to changes in Medicare and Medicaid reimbursements, Memorial Hospital at Gulfport knew additional methods of providing more efficient and cost-effective quality care were needed to maintain long-term success. The organization embraced the challenge of reducing LOS to lower costs and lessen risk for its patients. By adopting a systematic, data-driven, and multi-pronged approach, Memorial has achieved significant results in one year including:

$2 million in cost savings, the result of decreased LOS and decreased utilization of supplies and medications.
47-day percentage point reduction in LOS.

Improved care coordination and physician engagement have successfully reduced LOS.
The 30-day readmission rate has remained stable.

Three percent increase in the number of discharges occurring on the weekend.

Read more
My Folder
Health Catalyst

Readiness Assessment Key to Sustainable Outcomes Improvement

Experiencing pockets of success is not enough to prosper during the transformation to value-based care. Leaders at UnityPoint Health, a healthcare system serving Iowa, western Illinois, and southern Wisconsin, determined that outcomes improvements needed to be sustained and spread easily across the organization to best utilize resources and serve its patients.
UnityPoint Health required an objective way to understand the strengths and weaknesses of the organization relative to outcomes improvement and its readiness for change. To this end, it chose the Health Catalyst® Outcomes Improvement Readiness Assessment (OIRA) Tool and professional services to administer it and identify the competency levels in the organization in the five areas known to influence an organization’s readiness for change. This resulted in:

Competency for improving outcomes measured at the organization, department and role level.
Recommendations made for increasing competency levels across the organization.
Clear direction and focus obtained from opportunity analysis.

Read more
My Folder
Health Catalyst

Machine Learning Improves Accuracy of Risk Predictions and Improves Operational Effectiveness

The Centers for Medicare and Medicaid Services (CMS) readmission penalties are a significant concern for healthcare organizations, with over 2,500 hospitals being penalized each year, resulting in CMS withholding more than $500 million in payments.
For Westchester Medical Center Health Network (WMCHealth), hospital readmissions carried more than financial consequences. Care managers had to use multiple systems and time-consuming, manual processes to identify recently discharged patients at risk for readmission. These processes limited the effectiveness of the care management team, as care managers lost valuable time searching patient records for data needed to prioritize their workload and choose the right interventions.
To address this problem, the data analytics teams at WMCHealth and network member Bon Secours Charity Health System leveraged artificial intelligence and machine learning to develop a more accurate readmission risk prediction model that would enable care managers to use their time coordinating and engaging with patients more effectively. Results include:

A risk prediction model that is 17 percent more accurate than widely used readmission risk models in identifying patients at high-risk and low-risk for readmission within 30-days.
Care managers obtain follow-up appointments faster, usually within seven days, and connect patients with the services needed to prevent unnecessary visits to the emergency department and readmissions to the hospital.
1,327 hours per year saved, freeing up care managers to spend more time with patients.

Read more
My Folder
Health Catalyst

Reducing Opioid Availability with Improved Prescribing Practices

Historical approaches to the use of opioids in pain management have been associated with overprescribing and have inadvertently contributed to the opioid abuse crisis. Optimizing the use of opioids can help reduce the number of excess pills circulating in the community.
Allina Health, a not-for-profit health system serving Minnesota and western Wisconsin, achieved previous success in reducing opioid prescriptions in outpatient settings through the adoption of standard practices. Though Allina Health had initial success with its opioid prescription reduction efforts, providers still lacked visibility into prescribing practices, leading to variability that made further sustainable improvements challenging. With the help of analytics, Allina Health leveraged its data to develop prescription standards aimed at reducing the oversupply of opioids in the community, while still effectively managing patients’ acute pain after procedures.
Results:

15,730 fewer opioid pills prescribed at discharge in one year.
16 percent relative reduction in the number of opioid pills prescribed per patient.
95 percent of patients that delivered a baby via cesarean section and received opioids at discharge received fewer than 30 opioid pills.

Read more
My Folder
Health Catalyst

Machine Learning Automates Outpatient Coding

Accurate service line reporting is necessary for a healthcare organization to understand its total cost of care. Organizations that do not understand the total cost of care cannot be successful in risk-sharing and other forms of value-based payment, resulting in a loss of reimbursement.
In an effort to reduce costs, MultiCare Health System, an integrated delivery system serving Washington, decided to outsource all encounter coding, which eliminated the coding of outpatient encounters, negatively impacting service line reporting. To ensure accurate reporting, MultiCare asked its coders to assign an MS DRG code to all hospital-based outpatient encounters, which brought significant additional costs. To mitigate this, MultiCare utilized data analytics and machine learning to develop an algorithm that predicts the MS DRG code for hospital-based outpatient encounters.
By employing machine learning, MultiCare has achieved impressive results, including:

Successfully restoring service line reporting, enabling the organization to better understand the total cost of care, and supporting future participation in value-based care and risk-sharing agreements.
Ability to avoid additional labor costs that would be required to perform dual coding, saving more than $1M annually.

Read more
My Folder
Health Catalyst

Analytics Drive Lean Processes to Lower Healthcare-associated Infections

Healthcare-associated infections (HAIs) remain one of the greatest risks patients face while hospitalized. Each day, about one in 25 hospital patients has at least one HAI—with an estimated 722,000 HAIs in U.S. acute care hospitals annually. Approximately 75,000 of the patients with HAIs died during their hospitalization.
The University of Kansas Health System, a large academic medical system with more than 80 locations across two states, experienced organizational central-line associated bloodstream infections (CLABSI) and catheter-associated urinary tract infection (CAUTI) rates that were higher than desired. A lack of consistent uniform evidence-based maintenance of indwelling urinary catheters and central lines led to unintended care variations, which is a challenge to large healthcare organizations.
Developing a reliable system for preventing CAUTI and CLABSI that produced consistent and accurate results would assist The University of Kansas Health System in HAI prevention. To create this solution, the health system chose to implement lean management for addressing both technical and adaptive work, applying data and analytics from its analytics platform to make improvements driven by lean methodologies. These efforts were initiated within a model cell unit resulting in:

Only one CAUTI in 1,861 days. Zero CAUTI in 747 days.
Only one CLABSI in 824 days. Zero CLABSI in 332 days.
95th percentile patient satisfaction ranking.

Read more
My Folder
Health Catalyst

Improving Screening for Lung Cancer Enables Early Detection

With one of every four deaths in the U.S. being attributed to cancer, it is the second leading cause of death, surpassed only by heart disease. There are more deaths from lung cancer than from any other type of cancer accounting for more than 155,000 deaths annually.
While new lung cancer screening guidelines were available, few providers were compliant with the guidelines, or fully understood the complex reimbursement requirements, particularly the patient characteristics that qualify a patient to be eligible for low-dose computed tomography (LDCT) screening and the documentation required for reimbursement.
Mission Health, based in Asheville, North Carolina, is the state’s sixth largest health system with six hospitals and numerous outpatient and surgery centers. The organization wanted to increase the number of patients screened for lung cancer to catch the disease at an earlier, more treatable phase. Mission established a care process model improvement team, enhanced its screening program, and utilized its analytics platform to extract and integrate data from various source systems to evaluate the impact of LDCT screening and outcomes for its patients. Results from the enhanced program include:

71 percent relative increase in LDCT screening for people at increased risk for lung cancer.
56 people with lung cancer identified through early screening.
4.3 percent relative increase in people being diagnosed at early stage I or II lung cancer.
21.2 percent relative reduction in people diagnosed with late stage III or IV lung cancer.

 

Read more
My Folder
Health Catalyst

Artificial Intelligence Improves Accuracy of Heart Failure Readmission Risk Predictions

A global pandemic, heart failure (HF) affects at least 26 million people worldwide, and its prevalence only continues to increase. Within the U.S. alone, 5.7 million adults live with HF, carrying a cost of nearly $30.7 billion each year. At 55 percent, HF represents the most common cause of Medicare readmissions, and HF accounts for 42 percent of total admissions for Medicare patients.
Readmissions for HF carry a heavy cost for patients and health systems, in addition to reimbursement penalties from CMS. This makes properly assessing the risk for readmission for patients with HF a top priority. MultiCare Health System leveraged artificial intelligence and machine learning to improve the accuracy of readmission risk predictions for patients with HF. Providing a more accurate risk score in a timely fashion gives care teams more time to intervene effectively and prevent avoidable readmissions.
Results: 

85 percent estimated accuracy for heart failure readmission risk predictor. (LACE accuracy around 62 percent)
Three-fold increase in the number of HF readmission risk-predictions made each day.

Read more
My Folder
Health Catalyst

Widespread Analytics Adoption Improves ACO Measure Performance

On an annual basis, Accountable Care Organizations (ACOs) are required to accurately report data that is used to assess quality performance. This is necessary in order for the ACO to be eligible to share in any savings generated. Improvements in measure performance are often linked with ACOs that have offered providers the skills, tools, and data required to understand and track their own performance, as well as that of their peers.
Mission Health, based in Asheville, North Carolina, is the state’s sixth-largest health system, spanning the 18 counties of western North Carolina. Mission formed one of the largest ACOs in the country, Mission Health Partners (MHP), providing services for nearly 90,000 patients. While MHP had previously achieved success in improving its ACO measure performance, it sought to increase its quality scores even higher. Without access to transparent, actionable data, leadership was unsure if improvements would be sustained, let alone if existing workflows could lead to new improvements. After developing a comprehensive plan that included a massive expansion to data access, Mission practices were able to sustain initial improvements, identify new opportunities, and improve population health quality even further.
Substantial improvement across multiple ACO measures:

29 percent relative improvement in the number of patients receiving colorectal cancer screening.
10 percent relative improvement in the number of patients receiving breast cancer screening.
7 percent relative improvement in the number of patients with blood pressure under control.

Read more
My Folder
Health Catalyst

Integrated Data Enables Single Source of Truth and Rapid Adoption

Many healthcare organizations struggle to deliver seamless reporting, advanced visualizations, and end-user self-service models, but these types of analytics are critical to business intelligence and have become a practical and strategic necessity.  There is a lack of trust in data because it can be difficult to access and combine information that is fragmented, coming from multiple, disparate sources such as EMRs, billing, claims, and financial systems. Without an integrated source of clinical and business data in a trusted single source of truth, it is difficult, if not impossible to create a data-driven approach to decision making.
Orlando Health, one of Florida’s most comprehensive private, not-for-profit healthcare networks consisting of eight hospitals and 50 clinics, began its journey to integrate clinical and business data into a single source of truth across the organization when it made the transition from a legacy data warehouse solution that employed an enterprise data model to the Health Catalyst analytics platform, and subsequently to the Health Catalyst® Data Operating System (DOS™) platform.
Integrated data and ability to deliver superior solutions has resulted in a single source of truth, leading to increased adoption. Once customers realized the timeliness, ease of access, and quality of the improved analytics and visualizations available to them, demand and adoption increased and continues to grow.

6,120 queries of the analytics platform each month.
Users access analytic applications and visualizations more than 700 times each month.

Read more
My Folder
Health Catalyst

Integrated Healthcare Data Quickly Enables Adaptive, Purpose Driven Analytics

Changes in payment models are putting pressure on clinicians to close gaps in care. To do this, they need instant access to actionable information about their patients and their own performance. However, many electronic health records and business intelligence systems are still grappling with how to deliver the insights necessary to revolutionize the way providers work.
Orlando Health, a Florida-based, not-for-profit health system made up of eight hospitals and 50 clinics, found its enterprise data model difficult to scale, making it challenging to gain insights from its healthcare data. Building upon its analytics platform, Orlando Health recognized the value of immediate access to adaptive, integrated healthcare data that could be rapidly deployed in consumable, actionable visualizations to address a wide spectrum of business needs and use cases, and embraced a next-generation data model.
Results:

Ten data sources loaded into the platform in under six months.
As little as one week to deploy dashboards, visualizations, and analytic insights.
95 percent reduction in work hours required to incorporate system enhancements.
88 days saved in the amount of time required to implement system enhancements.

Read more
My Folder
Health Catalyst

Improving Transitions of Care for Patients with Pneumonia

Nationally, the readmission rate for patients over age 65 with pneumonia is 15.8 percent. Though not all hospital readmissions are preventable, high readmission rates may reflect performance on care quality, effectiveness of discharge instructions, and smooth transitioning of patients to their home or other setting.
Piedmont Healthcare wanted to standardize pneumonia care across its entire system but lacked the data it needed to identify patients who could benefit from additional transition support. Piedmont convened a care management steering committee and deployed analytics tools to generate actionable data for appropriate and effective transitions of care for its Medicare patients with pneumonia. In less than one year, it reduced its readmission rate for patients with pneumonia by 26 percent.

Read more
My Folder
Health Catalyst

Evidence-Based Care Standardization Reduces Pneumonia Mortality Rates and LOS

Patients with pneumonia account for over 400 thousand emergency room visits, nearly 1.1 million inpatient hospitalizations, and more than 5.7 million inpatient days each year in the U.S. Every year, almost 51,000 patients die from pneumonia. Among the elderly, community-acquired pneumonia is an increasing problem, now ranking as the fourth leading cause of death.
Piedmont Healthcare, a not-for-profit integrated health system serving Georgia, had multiple order sets for disease management, but the health system lacked a uniform care pathway for the treatment of pneumonia. Care provided for the treatment of pneumonia was often not in alignment with evidence-based guidelines, such as antibiotic selections. This lack of consistency increased both LOS and cost, and a lack of case-specific data made the development of a uniform best practice for pneumonia treatment challenging. By accessing detailed case data with the help of analytics, Piedmont was able to identify and develop best practices for the treatment of pneumonia, driving out the variation that increased costs and reduced the overall quality of care.
Results:

56.5 percent relative reduction in pneumonia mortality rate.
$220,000 in savings over one year, the result of a 9.3 percent relative reduction in LOS.

Read more
My Folder
Health Catalyst

Successfully Sustaining Elective Colon Surgery Outcome Improvements

For healthcare organizations, sustaining improvements that have been adopted in more than one part of an organization remains a serious challenge. After improvement initiatives have been successfully implemented, it is estimated that less than 40 percent of gains are sustained in the long term. Because improvement initiatives are necessary to maintain a high standard of care, sustaining them so that further improvements can be made remains a top priority for health systems.
MultiCare Health System, a not-for-profit healthcare system serving Washington state, successfully implemented improvement efforts for patients undergoing elective colon surgery, which resulted in significant reductions in 30-day readmission, LOS, and surgical site infections (SSIs). However, without ensuring ongoing engagement, accountability, and visibility into performance, MultiCare was concerned improvements could slip away. By supporting continued monitoring powered by insights gained from relevant data, and by closely listening to provider feedback, MultiCare was able to sustain previous improvements while identifying new opportunities.
Results:

32.7 percent relative reduction in 30-day readmission rate for patients having elective colon surgery.
3.4-day median LOS for patients having elective colon surgery, sustaining previous improvement.
Among patients who had the complete enhanced recovery after surgery protocol implemented for elective colon surgery, there were no surgical site infections—for an entire year.

Read more
My Folder
Health Catalyst

Enabling Informed Surgical Choices for Breast Cancer Through Shared Decision Making

One out of every eight women in the U.S. will develop breast cancer in her lifetime, and men have a lifetime risk of one in 1,000. This year, over 3.1 million women are currently being treated or have finished treatment for breast cancer.
The Virginia Piper Cancer Institute had clear evidence-based practice guidelines that directed recommendations for early breast cancer treatment options. Even with these evidence-based recommendations, however, the organization’s mastectomy rates were higher than expected.
Recognizing the organization could do better, the breast cancer program committee endorsed the spread of shared decision making for patients with early-stage breast cancer to all Virginia Piper Cancer Institute locations. The spread of shared decision making allowed patients to receive evidence-based information early in their course of care and make informed decisions that aligned with their values and preferences.
Within nine months of implementing a standard process for shared decision-making visits, the Virginia Piper Cancer Institute clinics that have completely adopted the process have made significant progress in engaging patients with early breast cancer in the shared decision-making process:

81 percent of eligible patients (207 people) participated in shared decision-making visits.
62 percent of the shared decision-making visits were in person.
27 percent relative increase in surgical decision of lumpectomy over mastectomy.

Read more
My Folder
Health Catalyst

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

Shared decision-making is the process by which clinicians and patients work together to make decisions and select tests, treatments, and care plans based on clinical evidence. Shared decision-making balances risk and expected outcomes with patient preferences and values, empowering patients to make informed decisions.
Project leadership at Allina Health didn’t have a way to know if shared decision-making interventions were being applied. By utilizing its analytics platform, Allina Health was able to track whether or not decision support tools were being used consistently and if shared decision-making conversations were happening, if there was variation in how and when they were being used, and if they were making a difference.
Within nine months of implementing the standard shared decision-making process Allina Health substantially increased the number of patients participating in the program:

749 patients have participated in a shared decision-making visit across the system, including:

69 percent of eligible patients with low back pain.
84 percent of eligible patients with early breast cancer.

Read more
My Folder
Health Catalyst

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

The Hierarchical Condition Category (HCC) risk adjustment model is used by CMS to estimate predicted costs for Medicare beneficiaries, and the results directly impact the reimbursement healthcare organizations receive for patients enrolled in a Medicare Advantage plan. CMS requires that all qualifying conditions be identified each year by provider organizations. Documentation that is linked to a non-specific diagnosis, as well as incomplete documentation, negatively affects reimbursement.
Allina Health, a not-for-profit integrated healthcare delivery system serving Minnesota and western Wisconsin, needed to improve its HCC coding and clinical documentation in order to ensure the correct risk adjustment factor (RAF) was applied to its patients, since failing to do so would jeopardize its reimbursement and result in lower than expected compensation. After identifying opportunities for improvement by comparing its HCC risk adjustment coding data to other organizations and vendor metrics, Allina Health improved clinical documentation precision, medical diagnoses accuracy, and ensured eligible patients are seen each calendar year.
Results:

10 percent increase in RAF for the target population in one year.
72 percent relative improvement in four key problem list diagnoses.

Read more
My Folder