Analytic efficiency

Success Stories

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.

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Improving the Transparency of Physician Compensation in Value-Based Care

Healthcare reimbursement continues to shift away from fee-for-service reimbursement models to value-based, risk-sharing agreements. This shift has resulted in organizations revising compensation strategies to engage physicians in value-based compensation arrangements. An effective value-based physician compensation plan is critically important, particularly in competitive environments where organizations must optimize the ability to recruit and retain highly skilled providers. One commonly used physician compensation approach includes a base salary and productivity incentives, coupled with additional compensation opportunities for achieving quality and service goals. The physician compensation package at John Muir Health is not only competitive, it is also complex, but the support process was burdensome, inefficient, and lacked transparency.
John Muir Health developed a plan to leverage the Health Catalyst® Analytics Platform, including the Late-Binding™ Data Warehouse and broad suite of analytics applications, to develop an automated process for physician compensation. The plan created efficiencies in time and effort across multiple domains and produced software to automate future work. The benefits included:

Saving 1,560 hours of time required to produce the data necessary to calculate physician compensation.
Successfully integrating more than ten different compensation models and 20 different data elements for more than 300 different providers into the physician compensation analytic application, automating the process.

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Driving Strategic Advantage Through Widespread Analytics Adoption

With the current state of uncertainty facing healthcare organizations, survival requires unprecedented agility when it comes to acquiring and responding to meaningful, strategic information. After adopting the Health Catalyst Analytics Platform, including the Late-Binding™ Data Warehouse and broad suite of analytics applications, Partners HealthCare promoted a philosophy of expanded access to the enterprise data warehouse (EDW) to increase adoption and self-service analytics to improve patient care and outcomes.
Partners needed widespread adoption of the EDW so that information could be meaningfully incorporated into strategic, clinical and operational decision making to support patient care. This meant that users who had a legitimate need to access data to support their job function were encouraged to seek access to the EDW. The organization continues to focus on further increasing the effectiveness of this strategy by ensuring that users have the means to acquire the skills, knowledge, and support they need to effectively use data stored in the EDW.
Results:

243 percent increase in user base—achieved over a two-year period (700+ unique users).
More data available to a broader audience than ever before.
Physician time to access data reduced from weeks to clicks.
87 percent of user community satisfied with the effectiveness of communication provided to support their use of the EDW.

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Faster Data Acquisition Delivers Speedy Time to Value

Effective data integration enables high value through more strategic, data-driven decision-making, while faster data acquisition feeds and speeds up the process. Orlando Health, one of Florida’s most comprehensive private, not-for-profit healthcare networks, recognized the need for effective data integration to successfully manage to the organization’s changing business needs. The health system needed the ability to rapidly acquire and link disparate healthcare data sources in various ways in order to answer clinical and business questions.
Leaders at Orlando Health needed a data warehouse that better met their needs. They determined that switching from an early binding data process to a late-binding process would provide greater flexibility and expand their access to critical data, with shorter data acquisition times.
With the new EDW, Orlando Health achieved the following efficiencies:

245 fewer days and 1.0 less full time employee (FTE) needed to integrate encounter billing summary system data.
56 fewer days and 0.4 less FTE needed to integrate Infection control system data.
99 percent reduction (90 days saved) in the amount of time needed to implement system enhancements.
98 percent reduction in the work hours needed to incorporate system enhancements.

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Service Lines and Activity-Based Costing Reveal True Cost of Care for UPMC

Between 2007 and 2014, U.S. healthcare costs per capita increased by almost 25 percent. The way in which health systems are typically organized, managed, and budgeted (as departments and units within separate hospitals) works against them when they attempt to improve population health and decrease costs. The University of Pittsburgh Medical Center (UPMC), a large health system with more than 20 hospitals and 500 clinics, was keenly aware of this challenge as it embarked on population health and value-based care initiatives that spanned the entire organization.
The health system determined that it needed to break down the virtual walls between care centers and standardize service lines across the enterprise. By extension, this organizational change mandated the need for activity-based costing in healthcare that would deliver the insight necessary to run a service line effectively. UPMC organized six service lines within the health system, each spearheaded by clinical, operational, and financial leadership. Each service line uses the health system’s innovative, data-driven activity-based costing methodology to understand the true cost of care.
Notable, measurable results of UPMC’s service lines and activity-based costing methodology to date include:

$42 million of cost reduction opportunities (approximately 2 percent of targeted service line cost)
$5 million in supplies savings
Transparency toward identification of contribution margin variation for specific procedures
Up to 97 percent improvement in time to access information

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Turning Data from Five Different EHR Vendors into Actionable Insights

When healthcare information systems don’t talk to each other, countless inefficiencies and patient safety issues may arise.
Community Health Network (CHNw) believes in delivering outstanding care to every patient. In order to minimize patient safety risks and inefficiencies resulting from using different EHRs, CHNw embarked on a journey to integrate its healthcare information technologies. After implementing a Late-Binding™ Data Warehouse from Health Catalyst that integrates all key data sources, CHNw now has a consistent and comprehensive perspective for multiple patient encounters across the enterprise. It has achieved the following results:

Data from multiple EHR vendors, including four inpatient EHRs and two ambulatory EHRs, plus five transactional systems—HR, patient experience, patient safety, finance, and supply chain— were integrated within 12 months.

More than 55,000 data elements and over 18 billion rows of data were incorporated.

Patient-to-patient matching was implemented for over one million patients across the four inpatient EHRs. This is vital for managing patient populations.

Operational efficiency was improved by 70 percent, with data architects spending an estimated 15 percent of time supporting interfaces compared to an estimated 40-50 percent before the integration. In one example, CHNw linked its ERP/costing system to the EDW’s EHR source marts with just a single interface; previously, this would have required building separate interfaces for all six EHRs.

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Sepsis: The Impact of Timely, Trustworthy Data and a Systemwide Approach to Care Improvement

For patients with the severest form of sepsis, the chance of survival decreases by 7.6 percent for every hour that antimicrobial treatment is delayed. Coordinated team work and the speed with which recognition, diagnosis, and treatment of sepsis occur are critical. Health systems across the country have discovered that by successfully engaging clinicians in driving and maintaining best practice interventions they are able to save lives and improve patient outcomes. At Piedmont Healthcare, the work of educating clinicians on the importance of following sepsis care best practices had been done. The missing pieces were a well-resourced, systemwide improvement team to improve sepsis care, and a concise way to view and give timely feedback on performance based on accurate, trusted data. To fill in these missing pieces, Piedmont created a cross-representative sepsis improvement team and enabled tracking for compliance to best practices with an analytics application from Health Catalyst. Within just three months of deploying the Sepsis Improvement Application, Piedmont has accomplished significant improvements in efficiency—and completely won trust in the data. Piedmont has already identified early indications of patient outcome improvements. Initial achievements of its sepsis improvement team include deploying systemwide visibility into sepsis care performance and best practices compliance, improved acknowledgement of first alert by 19 percent across the system, and a reduction in manual data collection by 97 percent.

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Understanding the Market Trends and Business Drivers of a Complex Healthcare Organization

As a Pioneer ACO, Partners HealthCare knew that understanding the healthcare business drivers of hospital volume and other strategic business trends was critical to its success. To increase this understanding, Partners recognized that it needed an advanced population health management analytics application that addressed strategic questions, could be deployed quickly, and would enable users to engage with the application to contribute toward real improvement. By emphasizing strategic questions rather than the technology solution itself, adopting Agile development methodologies, and working with stakeholders to drive adoption, Partners has developed an effective analytics platform that consists of an enterprise data warehouse (EDW) and advanced population health analytics applications. These efforts have resulted in an increase of up to 75 percent in operational efficiency, strategic questions answered up to 10 times faster, and perhaps most importantly, a cultural transformation where data helps drive strategy.

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How Partners HealthCare is Managing Costs in the Emerging At-Risk Environment

In order to thrive in an ever-increasing risk-based contracting environment, accountable care organizations like Partners HealthCare need to deliver high-quality, safe care with minimal risk. Integrated data that reveals cost reduction and care improvement opportunities are necessary to be successful in a risk-based environment, and has historically been fragmented and limited in interoperability in healthcare organizations. To merge, house, and analyze the necessary financial, operational, and clinical data required for risk-based contracting, Partners deployed a late-binding enterprise data warehouse (EDW) and population health management analytics. The EDW and analytics applications are making information accessible to managers as soon as it is released, along with enhanced visualizations that enable data-driven insights. In addition, the analytics application is helping to drive physician awareness and engagement in understanding and managing cost trends.

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How Partners HealthCare is Leveraging Episode-Based Data to Improve Care Delivery

U.S. healthcare is shifting from procedure and visit approaches to a longitudinal view of patient care. The Centers for Medicare & Medicaid Services (CMS) is supporting this change with their “Bundled Payments for Care Improvement Initiative.” Under the initiative, healthcare organizations enter into payments arrangements with financial and performance accountability for 48 episodes of care. This requires health organizations to integrate data from a combination of sources in order to identify the bundles with the highest costs and the sources of variation. Learn how Partners HealthCare, an Integrated Healthcare Delivery System and ACO, successfully integrated hospital, provider, and claims information for the first time—and how they can now easily evaluate and compare clinical and financial performance for the 48 CMS episodes of care.

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Standardizing Labor and Delivery Best Practices to Improve Outcomes

Advancing women’s health is a key part of the nation’s healthcare quality improvement and population health management agenda. Mission Health has embarked on a journey to standardize its best practices and develop a more systematic method for collecting and analyzing data related to perinatal care. With an EDW serving as its analytics platform, and a newly implemented clinical improvement model, Mission is able to monitor performance on several evidence-based practices designed to improve maternal and newborn care. Learn how they have sustained a zero elective delivery rate, and how they have reduced the time they spend manually collecting data and calculating rates.

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How Hospital Financial Transparency Drives Operational and Bottom Line Improvements

In an era of steadily declining operating margins, hospitals are seeking ways to increase their profitability. Learn how one hospital system integrated financial and operational data in near real-time, giving their leaders visibility into how their decisions are impacting the bottom line. Leadership is now making more informed decisions and they are addressing problems as they arise. Budgets are consistently being managed close to target and variances for each cost center are readily explained with drill-down capabilities into the general ledger. A significant manual effort associated with over 1,000 cost center spreadsheets has been eliminated and the organization has saved $12 million in labor savings.

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Patient Identification and Matching—An Essential Element of Using an Enterprise Data Warehouse to Manage Population Health

In a healthcare industry transitioning to value-based reimbursement and population health management (PHM), matching patients accurately to their care events across multiple sites of care and sources of information is becoming ever more important. Being able to accurately track utilization of services for a particular patient, patient population, or provider is fundamental to the strategies underlying effective population health management. Partners HealthCare developed an effective patient matching solution for more than 10.5 million patients achieving a 20 percent improvement in patient matching accuracy and a 96-99 percent high-risk patient matching rate. This has allowed the organization to accurately “flag” high risk patient populations and better manage risk under risk-based contracts.

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Partners’ Enterprise Data Warehouse: Focus on Service and Value

As the healthcare industry rapidly evolves, implementing an enterprise data warehouse has become essential both for population health management and economic survival. While this requires building analytics competency across the enterprise, once adopted, the benefits are abundant—from improved patient outcomes to reduced waste and costs. To rapidly gain value from this platform, healthcare organizations should follow an implementation strategy that, before anything else, identifies the problems analytics is intended to solve. It should also place as much emphasis on people and processes as it does technology. Partners HealthCare is an example of how implementing a data warehouse can quickly leverage analytics across the enterprise to achieve value with high end-user engagement and satisfaction.

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The Enterprise Data Warehouse (EDW): Creating the Foundation for Effective Healthcare Improvement Analytics

Population health management and value-based care has arrived. However, many healthcare organizations don’t have a single source of truth for their data, nor can they easily access their information. In the absence of integrated data visibility, many hospitals are relying on manual workarounds that can take months, and sometimes even years to implement—and in the end, may still fall short of delivering the level of insight needed. Learn how Partners HealthCare consolidated its disparate data warehouses, incorporating more than 27,000 data elements from multiple sources systems—and implemented on time and on budget. Partners’ enterprise data warehouse now serves as the analytics foundation for its overall value strategy.

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Sepsis Mortality and Length of Stay: One Hospital System’s Story

Sepsis, a serious complication that strikes quickly and is often fatal, is the single most expensive condition to treat in the hospital, in part because of the longer than average stay. To reduce sepsis mortality rates, which are between 20 and 50 percent, many hospitals have established evidence based bundles comprised of antibiotic administration, lactate level monitoring and other elements of care. However, without analytics, hospitals rely on manual processes to track sepsis rates and bundle compliance. Learn how Mission Health has streamlined surveillance by 75% while experiencing a 2.6% reduction in sepsis mortality rates and an 18% reduction in length of hospital stay.

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Revenue Cycle Management: Analytic Driven Insights and Efficiencies

To run efficiently and use the money they earn to improve the health of a community, healthcare institutions must manage their revenue cycle well. Crystal Run Healthcare, one of the fastest growing multi-specialty group practices in the country, anda physician-led accountable care organization (ACO), is committed to ensuring that the dollars it earns serve its patient population and are not wasted on inefficient processes. To that end, Crystal Run recognized that to minimize manual reporting and make quick, well-informed decisions related to revenue cycle management, they needed to employ analytics. With the implementation of an advanced analytics application, on top of their EDW platform, this ACO now accesses data up to 99% more quickly, has reduced staff time to identify variance root causes by 97%, and is actively identifying financial management improvement opportunities.

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How to Reduce Preventable Healthcare Associated Conditions in Children Using Best Practice Bundles and Analytics

Despite the preventability of healthcare associated conditions (HACs), rates continue to be unacceptably high throughout the country. Developing and implementing best-practice bundles—and tracking providers’ compliance with these bundles—has proven to be highly effective in preventing HACs. However, tracking HAC rates and bundle compliance can present a significant reporting burden. Learn how this healthcare organization has streamlined reporting and is able to identify vulnerable patients sooner, monitor clinicians’ compliance with best-practice bundles, and minimize manual chart reviews to calculate the HAC rates. With increased bundle compliance, their overall HAC rate has decreased by 35% and their CAUTI rate by 50%.

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How to Avoid PQRS Penalties and Earn Potential Incentives with Accurate Submission of Quality Measures

CMS has recently transitioned its Physician Quality Reporting System (PQRS) program from a pay-for-reporting program to a program that will now apply a negative payment adjustment to providers who do not satisfactorily report data on quality measures. Memorial Hospital faced a significant problem when its PQRS reporting process was hampered by its transition to a new EHR system. They needed a solution. Learn how Memorial successfully used their enterprise data warehouse to submit the necessary data to a certified registry, avoiding a four percent Medicare reimbursement adjustment, and providing them with the potential to earn an incentive payment. They also now have several patient registries that can be used for quality improvement initiatives in clinical care, patient safety, and care coordination.

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Improving Healthcare Performance through Analytics and Cultural Transformation: One Healthcare Organization’s Journey

OSF HealthCare, a pioneer accountable care organization (ACO), was looking to deliver superior clinical outcomes, improve the patient experience, and enhance the affordability and sustainability of its services. OSF’s leaders recognized that to effectively achieve these goals, they needed to reinvent the organization’s performance improvement measurement and reporting system. In addition to deploying new analytics technology, OSF knew they needed to drive a cultural shift throughout the organization to embrace a data-empowered system. By engaging leadership, aligning the initiative with business strategies, and building data-driven clinical and operational improvement teams, OSF was able to save $9-12 million over three years—through both process improvement and cost avoidance. OSF also drove clinical performance improvements in key areas including heart failure and palliative care.

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Operating Room Excellence: How One Hospital System is Driving Improvements with the Use of Advanced Analytics

Mission Health in North Carolina has always been dedicated to expanding access to care. To preserve this commitment in an era of declining reimbursement rates, Mission needed better access to data for quick and flexible decision-making. As at most hospitals, operating rooms are Mission’s biggest revenue generator, but they also represent a significant cost center. So, leveraging their new analytics capabilities to drive operational improvements across their system of operating rooms was a strategic opportunity. Mission now has improved ability to drive care and operational improvements with integrated data and analytic tools like their OR Dashboard—resulting in dramatic improvements including a 20% increase in first-case on-time surgical starts.

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Using Advanced Analytics to Manage Population Health in Primary Care Clinics

The need to effectively manage the health of populations is largely driven by the fact that 5 percent of the population accounts for 50 percent of healthcare costs. Being able to identify these patients, provide high-quality care and reduce their utilization is a pressing goal for many of today’s primary care providers (PCPs). Learn how this healthcare organization used a healthcare enterprise data warehouse and analytics to better manage their individual patients and patient population, integrate regulatory and performance reporting, and allow PCPs to spend more time with patients and less time collecting data.

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How to Integrate Patient Satisfaction Data to Deliver Quality Healthcare and Improve Operational Efficiency

Patient Satisfaction Explorer has enabled Texas Children’s Hospital to trend key performance indicators for patient satisfaction by service unit. Clinicians, executives, and operational leaders can easily drill down into the granular data to analyze patient satisfaction in more detail, including individual survey responses. Their current results include: improved operational efficiencies with integrated data and analytics – which is helping the healthcare system achieve its system-wide initiative to eliminate the use of vendor portals; increased system-side transparency across 3 campuses, 28 survey units and 145 locations with all levels of the organization having full transparency into how their performance is being measured; full empowerment to discover how to improve their patients’ experience, integrated patient satisfaction data into quality improvement initiatives; reduced custom reporting requests by 15%.

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How an ACO Provides and Arranges for the Best Patient Care Using Clinical and Operational Analytics

Crystal Run Healthcare—a physician-led Accountable Care Organization (ACO) and one of the first ACOs to participate in the Medicare Shared Savings Program—is experiencing the long-anticipated shift toward more value-based reimbursement.  To ensure financial stability as they assume more risk, Crystal Run is implementing a strategy focused on rapid growth and aligning physician reimbursement with favorable patient outcomes. To effectively execute on this strategy they knew they needed to become more data-driven.  Learn how this ACO is using advanced analytics to execute on their population management and growth strategies with a focus on continuous improvement in the following areas: 1) Ensuring patient care aligns with evidence based practices, 2) reducing clinical variation, 3) enhancing operational efficiency, analyzing data from a “single source of truth” integrated from their EMR, billing, costing, patient satisfaction and other operational system, and 5) making “self-service analytics” available to decision-makers to decrease time to decision.

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How to Integrate an EHR into a Healthcare Enterprise Data Warehouse in Just 77 Days

Integrating EHR data into a healthcare enterprise data warehouse (EDW) can take years, depending on the EDW platform and data model. Crystal Run — a physician-owned medical group in New York with more than 300 physicians in 40 medical specialties — couldn’t wait that long. They need a solution that could integrate their EHR data in a matter of months, not years. Using a late-binding model, Crystal Run was able to integrate their EHR data in just 77 days, with easy-to-use tools for data acquisition and storage and metadata management. 

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