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Health Catalyst

Salt Lake City, UT 84121
Booth(s):  1332

About

Health Catalyst is a data, analytics, and decision support company committed to improving healthcare outcomes. We are the leaders in an era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs.

Press Releases

The next step in the evolution of cost management, the CORUS Suite leverages unparalleled access to patient-level EHR data and costing best practices from world-renowned healthcare leaders 

SALT LAKE CITY (June 20, 2017)—Chief financial officers (CFOs) of hospitals and health systems today are struggling to navigate a perfect storm of financial challenges. Fewer patients are being hospitalized, which reduces fee-for-service revenue. More patients are defaulting on their bills thanks to the increased prevalence of high-deductible health plans. Meanwhile, government and commercial insurers keep launching new and confusing payment models, while the momentum behind full and partial capitation of reimbursement contracts is growing.

The health systems that succeed amid this turmoil will be those that understand their costs, their clinical outcomes, and how to maximize the healthcare value equation. Unfortunately, healthcare CFOs today lack insight into the true cost of the services they provide and their impact on health outcomes. Outdated processes and technologies for managing cost end up leaving them in the dark when it comes to lowering expenses, reducing variation, or negotiating favorable at-risk contracts with payers.

To help, Health Catalyst®, a leader in data analytics, decision support and outcomes improvement, today announced the release of the CORUS™ Suite a breakthrough in cost management technology. The CORUS (Clinical Operations Resource Utilization System) Suite enables CFOs, physician and service line leaders, and clinical and financial analysts, for the first time, to deeply understand the true cost of providing care across the continuum, and to relate those costs to patient outcomes.

“Never in the history of US healthcare has accurate cost accounting been more important than it is right now, and that importance will only grow in the coming months and years, as operating margins continue to be squeezed,” said Dale Sanders, executive vice president of product development for Health Catalyst. “Our CORUS Suite changes that equation by giving health systems the first complete picture of what it costs to provide care, down to the granular level of how many minutes a nurse spent in the operating room during a surgery, or the financial and clinical outcomes of one surgeon’s procedures compared against all others.”

The CORUS Suite is a next-generation cost management system whose significant improvements over current systems include:

  • Integration of EHR data, including patient-level clinical and operational data, as well as departmental and equipment resource-utilization data, delivering the first truly comprehensive view of the cost of patient care
  • Manufacturing-style activity-based costing—with automated and robust data quality and cost validation algorithms—that is scalable and maintainable, freeing analysts to focus on identifying variation and cost-saving opportunities
  • Embedded costing knowledge including best practices, rules, and algorithms from world-renowned academic healthcare institutions, accelerating cost management transformation
  • Dramatically more timely and actionable cost data based on healthcare’s most advanced analytics platform, which supports over 160 source systems including EHR, claims, General Ledger, payroll, supply chain, and patient satisfaction systems

Deep experience in costing and analytics

More than a new market entrant, the CORUS Suite incorporates costing best practices developed over many years by recognized leaders in healthcare cost management, including UPMC, a $14 billion integrated healthcare delivery and insurance system that includes more than 25 hospitals and 600 doctors’ offices and outpatient sites.

The CORUS Suite also benefits from Health Catalyst’s market-leading technology and services, recognized in 2017 as “Best in KLAS for healthcare business intelligence and analytics,” and proven to advance clinical and financial outcomes for more than 400 hospitals and 4,000 clinics nationwide.

“The only way to be successful in the new world of value-based healthcare and population health is to understand your true costs and manage them,” said Robert A. DeMichiei, executive vice president and chief financial officer of UPMC, which is also an investor in Health Catalyst. “To get there, we need access to massive amounts of data from across the care continuum to identify all of the resources used in delivering patient care. The CORUS Suite’s ability to integrate patient-level activity data from the EHR and virtually every other source of clinical, operational and financial data, and to deliver near real-time insights based on that data, makes it a true game-changer.”

Activity-based costing plus real-time insights

The CORUS Suite is composed of two integrated products:

  • Activity-Based Costing—automatically identifies activities and assigns the cost of each activity according to their actual consumption of resources and materials.  Activity-Based Costing enables true patient-level activity data versus the approximations used by standard cost management systems.  Visibility into the number of assessments performed, medications administered, labs ordered, duration of imaging studies, minutes in OR, supplies used, and virtually all other costs, contributes to an exceptionally detailed and actionable view of cost on a patient-by-patient basis.  Flexibility to support multiple cost accounting methodologies (e.g. RCC, RVU, activity-based accounting, etc.) allows organizations to quickly get started and evolve based on their business and available data. The application also includes automated data quality and cost validation algorithms, which makes activity-based costing a reality in complex health systems.
  • Cost Insights – analyzes and delivers early and actionable insights via dashboards that are customizable to the end-user’s role and purpose. Powered by embedded logic and access to the most granular level of activity and costing data for all patients, Cost Insights exponentially reduces the time to compile performance reports, to develop insights into profitability and variation, and to identify cost reduction opportunities.

Health Catalyst supports the CORUS Suite with professional services from veteran healthcare consultants who have financial, clinical, and operational experience, and have worked with community, academic, and large, integrated healthcare systems to drive outcomes improvements.

Old approaches to cost management miss the mark

Unlike the CORUS Suite, many of today’s cost management systems rely on both outdated technology and antiquated costing methodologies. Their use of charge codes, RVUs (relative value units), and other limited measures of cost produce an incomplete financial picture, leaving gaping holes in knowledge that threaten an organization’s financial sustainability. Those systems that claim to support activity-based costing mostly lack access to the rich patient-level activity data, costing best practices, and automated data quality and cost validation algorithms that are needed to truly implement activity-based costing.

The CORUS Suite’s unparalleled integration of data solves both of these problems and incorporates all three of the key elements required for true insight into costs: data from multiple enterprise systems, deep services, and robust technology.

Common headaches relieved

The exceptional cost management capabilities of the CORUS Suite have the power to solve extremely common problems for healthcare leaders across the C-Suite and at the department level.  Some commonplace scenarios include:

  • Manufacturing-style activity-based costing that is scalable and maintainable, freeing analysts to focus on identifying variation and cost-saving opportunities. A large, integrated healthcare system decided five years ago to build its own activity-based costing system. Unfortunately, the platform wasn’t scalable and could not be cost-effectively maintained.  End users could not easily add or maintain new cost drivers, add newly acquired hospitals, or add upgraded data sources such as their new inventory system, or ambulatory EHR. Every month, it took six FTE business days to close out the books, eating into time that the analysts could have devoted to identifying and participating in driving outcomes improvements. After implementing the CORUS Suite, the majority of the health system’s activity-based cost processes have been automated and now run overnight. Clinicians and physician-financial/operational dyad service line leaders have greater transparency into the cost driver definitions and algorithms, making data validation and modifications easy to perform. The health system has saved millions of dollars through improvements identified by the CORUS Suite, and has freed their analysts to focus on identifying variation and cost-saving opportunities.
  • Integration of clinical and operational EHR patient resource-utilization data, delivering the most complete picture of any procedure’s true cost. A large academic health system had been using charges as the basis of costing for the operating room. Knowing the organization now had the CORUS Suite, the operating room (OR) director wanted to find out what her true costs were.  She asked finance to look at the EHR clinical and operational source data to find the specific times and all personnel resources used in the OR during surgeries. Finance was able to use the CORUS Suite to quickly identify precise patient times, resources, and true labor costs. They were also able to leverage updated costs for supplies with the link to their supply chain data sources in the CORUS Suite. Upon comparing the cost for each surgeon with data on labor and supplies, they discovered that the physician with the shortest time was using additional staff. The physician-finance dyad lead worked with the surgeons to determine best practices and reduce clinical variation based on a review of time, resource costs, and clinical outcomes.

Explore CORUS Cost Management Suite in Live Webinar, June 21

Join the Health Catalyst product development team for a live CORUS Suite webinar on Wednesday, June 21 at 1:00 p.m. Eastern Standard Time.  Attendees will view a live demo and participate in a live question and answer session.  Register for the webinar here.

Case Studies and Product Information Available for Download

Data sheets detailing the CORUS Suite’s features and benefits are available:

Case studies of the CORUS Suite’s impact at UPMC are also available for downloading:

  • A Service Line Approach Improves Women’s Health at UPMC – detailing how the CORUS Suite contributed to a) 20 percent reduction in inpatient LOS for hysterectomies (over a 3 year time period), b) 34 percent reduction in open hysterectomies, c) 28.3 percent reduction in 30 day readmissions for hysterectomies, d) a 25 percent improvement in their contribution margin.
  • Service Lines and Activity-Based Costing Reveal True Cost of Care for UPMC – detailing how the CORUS Suite contributed to a) $42 million of cost reduction opportunities (approximately 2 percent of targeted service line cost), b) $5 million in supplies savings, c) Transparency toward identification of contribution margin variation for specific procedures, d) up to 97 percent improvement in time to access information.

About Health Catalyst

Health Catalyst is a next-generation data, analytics, and decision-support company, committed to being a catalyst for massive, sustained improvements in healthcare outcomes. We are the leaders in a new era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise, and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs in support of more than 85 million patients for organizations ranging from the largest US health system to forward-thinking physician practices. Our technology and professional services can help you keep patients engaged and healthy in their homes and workplaces, and we can help you optimize care delivery to those patients when it becomes necessary. We are grateful to be recognized by Fortune, Gallup, Glassdoor, Modern Healthcare and a host of others as a Best Place to Work in technology and healthcare. Visit www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook

Media Contact:
Todd Stein
Amendola Communications
916-346-4213
tstein@acmarketingpr.com

The next step in the evolution of executive decision support automates insight discovery, simplifying decisions in a culture rife with information overload

SALT LAKE CITY, March 28, 2017—Healthcare leaders are tasked with managing the most complex and changeable industry on Earth, one in which access to the right information at the right time is mission critical. Yet many are almost literally drowning in information as they struggle to collect and interpret data from dozens of IT systems and hundreds of reports in competing formats.

It’s a problem that threatens the productivity of healthcare executives and the efficiency of the enterprises they lead—if not the very health of the nation.

To help, Health Catalyst, a leader in data analytics, decision support and outcomes improvement, today announced the release of Leading Wisely™, a breakthrough technology marking the long-awaited next step in the evolution of executive decision support. The web-based solution automatically transforms data, key measures and goals from multiple business units into the fundamental insights critical to leadership. Leading Wisely combines and analyzes near real-time data from every available IT system and software program, and then enables users to customize information, share it with others, and set their own alerts and notifications.  As a result, managers are empowered to take control of the data deluge to more effectively plan, prioritize improvement projects, create alignment among groups, strategize best solutions, and communicate decisions.

“Collecting and synthesizing the data required for quarterly and annual planning can be an extremely time-consuming and frustrating process that often leaves executive teams struggling to make critical strategic decisions based on incomplete information,” said Timothy Sielaff, MD, PhD, Chief Medical Officer of Allina Health, Minnesota’s largest health system with 13 hospitals and 27,000 employees. “Leading Wisely is a game changer that promises to completely transform the decision-making process by giving each member of the executive team immediate access to the insights that are critical to their success and that of their team’s.”

Old approaches to decision support miss the mark

In most healthcare organizations, the process of collecting data to support decisions is both time-intensive and frustrating. Organizations are forced to use creative workarounds that assimilate and align data from multiple sources, with results that often reflect a months’-long time lag. These approaches are resource-intensive and often miss the mark, leading to inconsistent date ranges, cohort selections and measure calculations.  In the absence of trusted, current and actionable information, executives find it difficult to plan, delegate, engage their teams in solving issues, and to track progress by work groups.

Unlike existing decision support solutions, Leading Wisely leverages Health Catalyst’s proven ability to integrate over 100 sources of data in its data warehouse, enabling unprecedented access to and consistency of measures across business units. Moreover, its highly configurable framework gives users the equally unprecedented ability to slice and dice data to suit their roles and goals.

With Leading Wisely, users can:

  • Choose, configure and display the balanced measures that best suit their objectives
  • Set alert thresholds, and configure push notifications across teams for when data changes, without help from the IT department
  • Set system targets and goals and track time to meet them with a single-source view of progress and outcomes
  • Enable project integration and collaboration through built-in social communication and sharing features
  • Drill down to department-level data to uncover the sources of variation

“Why settle for a good-enough decision when truly automated and personalized decision support is now available to uncover the right decision at the right time?” asked Dale Sanders, executive vice president of product development for Health Catalyst. “Unlike traditional dashboards or static reports, Leading Wisely helps executives and their teams avoid being blindsided by unexpected information and gives them control over their data with self-service alerts and notifications that they can customize for any purpose. Now they can filter through the thousands of measures available to easily find, track, follow-up on, and share those measures that are most meaningful to their roles or their teams, and that will have the greatest impact on performance.”

Common headaches relieved

The exceptional decision support capabilities of Leading Wisely have the power to solve extremely common problems for healthcare leaders across the C-Suite and at the department level, such as when:

  • An alert set by the CEO calls his attention to a worrisome, real-time downward trend in days of cash on-hand. The CEO quickly reaches out to the CFO and operating unit leaders to address the trend to prevent a bond downgrade by bond rating agencies who are visiting in three months. This prevents adding millions to the cost of acquiring new capital.
  • The CFO is notified of a problematic rise in accounts receivable (or an increase in costs, or declining revenue). Using Leading Wisely, she is able to quickly uncover the root cause and reverse the trend.
  • The COO notices an upward trend in surgery revenue at one of the system’s five regional medical centers. Drilling into the data, she learns this is due to a significant improvement in Operating Room turnover time following an improvement project resulting in greater productivity and increased revenue. She connects the surgery director with surgery directors at the other four centers and quickly spreads the best practice across the system.
  • The CIO is alerted when labor costs and timelines on a large, expensive IT project that had been spiraling out of control finally hit their targets. Leading Wisely lets him quickly see the improvement and determine what made the difference. He is able to quickly share the knowledge with all of the IT Directors so it can benefit other IT projects.
  • An alert set by the Chief Medical Officer goes off when blood utilization at one of the system’s hospitals increases suddenly. Drilling into the data reveals the cause is a newly trained surgeon who is unfamiliar with the standard blood utilization protocols. The CMO contacts the surgeon and reviews the best practice protocols. Subsequently, the surgeon quickly aligns with best practice.
  • The HR Leader is notified when staff turnover increases sharply at one of the system’s hospitals. The timely heads’ up triggers a proactive effort to uncover the cause and minimize additional turnover thereby avoiding the expense of recruiting and training additional new personnel.

Leading Wisely resolves these and other problems for healthcare leaders via integration of common industry measures such as AR days, length of stay, patient satisfaction, mortality rate, readmissions, census, and boarder measures. Once deployed, customers can add and integrate additional standard and custom measures.

“Leading Wisely is the Bloomberg terminal of healthcare, giving organizations much greater visibility into key measures and goals, and helping to coordinate work via a single source of truth,” said Dorian DiNardo, PMP, vice president and product line manager for operations and performance management at Health Catalyst. “Leading Wisely prevents the communication breakdown that often happens from the time a decision is made in the board room through to tracking improvement, reaching targets, and monitoring progress.”

Online Demo Available

A video demonstration of Leading Wisely can be viewed here: https://www.healthcatalyst.com/demos/leading-wisely/

A downloadable data sheet detailing the solution’s benefits and features is available here: https://www.healthcatalyst.com/wp-content/uploads/2016/08/leading-wisely-data-sheet.pdf

About Health Catalyst

Health Catalyst is a next-generation data, analytics, and decision-support company, committed to being a catalyst for massive, sustained improvements in healthcare outcomes. We are the leaders in a new era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise, and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs in support of more than 85 million patients for organizations ranging from the largest US health system to forward-thinking physician practices. Our technology and professional services can help you keep patients engaged and healthy in their homes and workplaces, and we can help you optimize care delivery to those patients when it becomes necessary. We are grateful to be recognized by Fortune, Gallup, Glassdoor, Modern Healthcare and a host of others as a Best Place to Work in technology and healthcare. Visit www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook.

Media Contact:
Todd Stein
Amendola Communications
916-346-4213
tstein@acmarketingpr.com

Partnership commercializes validated research and world-renowned expertise to extract clinical insights from text records

ORLANDO, Feb. 21, 2017 – From the floor of the HIMSS17 Conference & Exhibition in Orlando, Health Catalyst and the Regenstrief Institute announced today an agreement to bring Regenstrief’s artificial intelligence-powered text analytics technology out of the lab and into healthcare organizations nationwide.

Regenstrief’s nDepth™ technology, internally developed within the largest and longest running health information exchange in the country, has been fine-tuned through extensive and repeated use searching over 230 million text records from more than 17 million patients and promises to accelerate improvements in patient health by unlocking the vast troves of unstructured data hidden within electronic health records (EHRs).  As a key commercialization partner, Health Catalyst will incorporate the nDepthTMsolution into the Health Catalyst data analytics platform used by health systems serving 85 million patients across the U.S.

“Eighty percent of clinical data is locked away in unstructured physician notes that can’t be read by an EHR and so can’t be accessed by advanced decision support and quality improvement applications,” said Peter J. Embi, MD, MS, President and CEO of Regenstrief Institute. “By combining Health Catalyst’s analytics market leadership and data platform with our text analytics and expertise, we will help millions of patients benefit from the untapped potential hidden within unstructured data.”

First Deployment Site

Memorial Hospital at Gulfport, in Gulfport, Miss., ranked the best hospital in Mississippi by US News & World Report, served as the co-development partner and first deployment site for Health Catalyst’s integration of nDepth. The award-winning 445-bed not-for-profit health system, which has earned a reputation as a bastion of quality care, deployed the Health Catalyst data and analytics platform in 2014.

“I believe it is important for community health systems like Memorial that have made significant investments in electronic health records to take the next step in care by unlocking the value in the EHR’s unstructured data,” said Gene Thomas, Chief Information Officer of Memorial Hospital at Gulfport. “Our partnership with Health Catalyst and their incorporation of nDepth is enabling that value to impact the front lines of care for the first time.”

nDepth analyzes any document type and unlocks the value of unstructured data to deliver meaningful insights directly to clinicians and quality improvement professionals. The solution uses Natural Language Processing (NLP)—a combination of linguistics, pattern recognition, and machine learning—to derive meaning from text. nDepth enhances these foundational technologies with clinical domain expertise and rich phenotype libraries built and curated by clinicians.

Some recent applications of nDepth include:

  • Finding patients with metastatic melanoma
  • Identifying pre-diabetic patients for clinical trials
  • Capturing hypoglycemic events
  • Identifying patients with family history of lung cancers
  • Mapping patient trajectory following cancer treatment
  • Detecting treatment failure in insomnia
  • Finding reasons for refusal of osteoporosis medications
  • Identifying “triple negative” breast cancers

“The Regenstrief Institute has been setting the bar for high quality medical informatics research and innovation for decades – (former director) Clem McDonald is one of my heroes,” said Dale Sanders, Executive Vice President of Development for Health Catalyst. “Our approach to NLP and text analytics are different than the norm in healthcare, so we were originally committed to developing our own product, but when we saw what Regenstrief had built, which aligned with our approach, we were thrilled to change course in favor of combining our rich data content with nDepth. Text and NLP technology in healthcare has been stuck in the realm of tinkering and not had an impact on the front lines of care. We firmly believe this partnership is going to make a breakthrough contribution across the board, at the front lines of healthcare—in clinical research, quality of care, precision medicine, and cost reduction.”

Sanders added, “Memorial Hospital Gulfport is most definitely at the front lines of care and we are enormously grateful to Gene Thomas and his willingness to serve as our development partner.”

The Health Catalyst data analytics platform provides the foundation for improving value-based population health outcomes. The company’s foundational enterprise data warehouse (EDW) integrates over 140 different data sources, including the electronic health record (EHR), claims, key financial, operational and patient satisfaction systems. Powered by that data, Health Catalyst’s Best In KLAS® suite of analytics applications leverages machine learning to drive predictions such as identifying patients who are most likely to acquire deadly infections; finding those who may have trouble paying their medical bills; or launching proactive medical interventions for patients who are at risk for dangerous complications.

Visit Health Catalyst at HIMSS17 in Orlando

Health Catalyst will demonstrate its solutions at the 2017 HIMSS Conference & Exhibition in Orlando, Feb. 20-23.  Visit booth #5173 or schedule a meeting to ensure the right people are available to meet with you.

About Regenstrief Institute

Regenstrief Institute is a dynamic, people-centered research organization driven by a mission to create pathways for better health. We envision a world where every patient has access to the highest quality, most efficient healthcare available, at an affordable cost. Our talented and dedicated staff support an award-winning body of faculty investigators from both Indiana University and Purdue University. Within and across the Institute we seek to find ways to integrate research discovery, technological advances, and systems improvement into the practice of medicine. See how we’ve worked to improve patient care by visiting www.regenstrief.org and following us on TwitterFacebook, and LinkedIn.

About Health Catalyst

Health Catalyst is a next-generation data, analytics, and decision support company committed to being a catalyst for massive, sustained improvements in healthcare outcomes. We are the leaders in a new era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise, and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs in support of more than 85 million patients for organizations ranging from the largest US health system to forward-thinking physician practices. Our technology and professional services can help you keep patients engaged and healthy in their homes and workplaces, and we can help you optimize care delivery to those patients when it becomes necessary. We are grateful to be recognized by Fortune, Gallup, Glassdoor, Modern Healthcare and a host of others as a Best Place to Work in technology and healthcare. Visit www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook.

Media Contacts:
Todd Stein
Amendola Communications for Health Catalyst
916-346-4213
tstein@acmarketingpr.com

Lisa Welch
Regenstrief Institute
317-274-9234
llwelch@regenstrief.org

ORLANDO, Feb. 20, 2017 – Health Catalyst announced today that it has earned the 2017 Best in KLAS ranking for Business Intelligence and Analytics in recognition of its ability to help turn raw data into clear insights that drive improved outcomes in patient care and bottom-line performance.

The Best in KLAS designation is reserved for vendor solutions that lead the software and services market segments with the most significant operational and clinical impact on healthcare organizations.

The Health Catalyst Analytics Platform and suite of applications provides the foundation for improving value-based population health outcomes. With optimized machine learning models built into every Health Catalyst analytics application, organizations can leverage the technology for predictions such as identifying patients who are most likely to acquire deadly infections; finding those who may have trouble paying their medical bills; spotting possible canceled appointments before they happen; or launching proactive medical interventions for patients who are at risk for dangerous complications.

The success of Health Catalyst’s analytics platform is closely tied to the company’s proven ability to integrate high-volume data from virtually every internal and external source available. Because multiple sources of data are required for effective predictive analytics, the technology is more effective the more data is present. Health Catalyst’s enterprise data warehouse integrates over 120 different data sources, including the electronic health record (EHR), claims, key financial, operational and patient satisfaction systems.

“Those using [Health Catalyst’s] system say it has helped drive outcomes by helping them better understand the needs of complex patient populations, evaluate the efficacy of treatments, and easily aggregate data from disparate sources,” wrote KLAS researchers in the Oct. 2016 report, “Enterprise Healthcare BI 2016: Getting Value from BI Tools: A U.S. and Global Perspective.” The report’s authors added, “Health Catalyst continues to set the bar for performance and partnership.”

“We are honored to be recognized as Best in KLAS for healthcare business intelligence and analytics, and especially to be recognized by our clients for our ability to help them transform their data into meaningful outcomes,” said Dan Burton, CEO of Health Catalyst. “We anticipate even greater outcomes improvements with our clients in 2017 as we integrate analytics driven by machine learning across our entire product line.  Called catalyst.ai, this initiative equips our clients to exchange today’s limited, retrospective analysis for a new era of powerful, predictive analytics driving an orders-of-magnitude improvement in outcomes.”

Health Catalyst will be exhibiting at HIMSS17 in Orlando, Feb. 20-23. Visit Booth# 5173 to see over 100 customer case studies and our latest solutions:

  • Machine Learning and Predictive Analytics (NEW)
  • Care Management (NEW)
  • MACRA Measures & Insights (NEW)
  • Population Health Management
  • Patient Registries
  • Clinical and Operational Outcomes Improvement

For more information about HIMSS17, visit http://www.himssconference.org/.

About Health Catalyst

Health Catalyst is a next-generation data, analytics, and decision support company committed to being a catalyst for massive, sustained improvements in healthcare outcomes. We are the leaders in a new era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise, and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs in support of more than 85 million patients for organizations ranging from the largest US health system to forward-thinking physician practices. Health Catalyst’s technology and professional services help to keep patients engaged and healthy in their homes and workplaces, and to optimize their care when it becomes necessary. We are grateful to be recognized by Fortune, Gallup, Glassdoor, Modern Healthcare and a host of others as a Best Place to Work in technology and healthcare. Visit www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook

About KLAS

KLAS is a research firm on a global mission to improve healthcare delivery by enabling providers to be heard and counted. Working with thousands of healthcare professionals and clinicians, KLAS gathers data on software, services and medical equipment to deliver timely reports, trends and statistical overviews. The research directly represents the provider voice and acts as a catalyst for improving vendor performance. To learn more about KLAS and our reports, visit www.KLASresearch.com.

Media Contact:
Todd Stein
Amendola Communications
510-417-0612
tstein@acmarketingpr.com

Related Survey: Just One-Third of Health Systems Say Physicians are Ready for MACRA; Biggest Headache is Capturing Compliance Measures

SALT LAKE CITY – February 15, 2017 — Physicians have long complained about the growing burden of government regulation, especially its effect of reducing time spent with patients. A 2016 study by Researchers at Weill Cornell Medical College and the Medical Group Management Association found that physicians and their staff spend between 6 and 12 hours per week processing and reporting quality metrics to the government – at a cost of $15.4 billion a year.

As a recent Health Catalyst/Peer60 survey confirms, that burden is expected to significantly worsen in 2017 and beyond as physicians struggle to report quality metrics for the Medicare Access & CHIP Reauthorization Act (MACRA) – the federal law that changes the way Medicare pays doctors. Commercial health insurers are expected to follow the government’s lead with similar programs of their own. Passed with overwhelming bipartisan support in Congress, MACRA requires physicians who participate in its financial incentives to report on a subset of 271 quality measures. In complex organizations, successfully achieving performance targets and submitting accurately for MACRA incentives will require integrating multiple measures across financial, regulatory and quality departments.

To help identify and align healthcare organizations’ selection of the MACRA quality measures, Health Catalyst® today announced the release of MACRA Measures & Insights™. Built on an industry-leading data and analytics platform integrating over 120 data sources including claims and all major EMRs, the new application helps healthcare organizations track and monitor all MACRA measures across multiple departments. Moreover, with MACRA Measures & Insights, organizations for the first time can quickly spot areas where their physicians are performing best, and therefor which quality measures to report to Medicare to maximize payment under MACRA.

“Healthcare organizations expend significant human resources to compile, interpret, keep up with and understand the impact of regulatory compliance measures, and this problem will only get worse under MACRA,” said Dale Sanders, Executive Vice President of Development for Health Catalyst. “MACRA Measures & Insights will significantly reduce that burden while making it easier to maximize Medicare reimbursement and to monitor performance against measures year over year.”

Dorian DiNardo, PMP, Health Catalyst Vice President and Product Line Manager for Operations and Performance Management, added, “The nice thing about the Health Catalyst platform is, it contains virtually all of the granular data in a healthcare system, including claims and other external data, so we can quickly combine that data to support effectively any reporting or analytics requirement, including MACRA and any changes that might come along in the future.”

Identify Measures to Optimize At-Risk Contracting

More than assisting with regulatory compliance, MACRA Measures & Insights also enables healthcare provider organizations to tactically and strategically identify the optimal measures to include within multi-year value-based care contracts with commercial payers. By aligning contractual success measures with an organization’s strongest areas of performance, the application helps to maximize payments in risk-based contracts. MACRA Measures & Insights also enables organizations to easily add measures from multiple payers’ contracts.

Conversely, health plans can use the application to identify populations of patients that are appropriate for sharing risk with their provider partners.

Survey: compiling quality measures is health systems’ biggest MACRA worry

The heavy lifting required to track and compile MACRA measures for reporting to Medicare is top of mind for healthcare executives, according to a Health Catalyst/Peer60 survey conducted in late 2016.  When asked which MACRA-related activities “pose the greatest difficulties for healthcare organizations,” 74 out of the 187 respondents (40%) ranked “compiling metrics for regulatory reporting” as the biggest challenge. The next biggest headache identified by survey respondents (18%) was “adjusting to greater coordination between providers and patients.”

Only about a third of healthcare organizations were prepared to tackle MACRA’s reporting challenges as of late last year, according to the survey. Just 35 percent of respondents answered affirmatively when asked whether they “have a strategy and are well on [their] way to being ready” for upcoming MACRA reporting. Ready or not, most do expect to participate in the program, with only 5 percent of those surveyed planning to opt out of MACRA entirely.

The online survey reflects the opinions of 187 U.S. healthcare executives and senior leaders who work at organizations ranging from the nation’s largest urban academic medical centers and integrated delivery networks to critical access hospitals and large physician groups.

Deeper dive into MACRA Measures & Insights

Powered by the Health Catalyst Analytics Platform™, MACRA Measures & Insights enables organizations to gain deep insight into performance measures at virtually any degree of detail required for measurement and performance improvement.

The application delivers a variety of filtering views to drill down quickly into multiple dimensions for quick decision making at the level of:

  • Specialty
  • Group
  • Individual provider
  • Domain
  • Individual measure
  • Diagnosis group
  • Data quality
  • Several additional dimensions, such as payer or contract

MACRA Measures & Insights also reveals performance scores in three initial MIPS performance quadrants, with more to come:

  • Quality
  • Clinical practice improvement activities (if scores available)
  • Advancing care information (if scores available)

The application includes measure calculations validated to be using the correct data (per CMS guidelines) to meet MACRA requirements.  It also displays benchmarks for easy comparison.  An alignment tab compares quality measures already at-risk with other payers to the MACRA measures, helping to prioritize those best suited for risk in the Quality Payment Program.

Explore MACRA Measures & Insights in Live Webinar, Feb. 16

For a detailed look at the new application, join the Health Catalyst product development team for a live MACRA Measures & Insights Product Webinar on Thursday, February 16, 2017, 1:00-2:30 p.m. EST.  Attendees will be able to view a live demo of the application and participate in a live question and answer session.  Register for the webinar here.

MACRA Measures & Insights Data Sheet

Take a deeper dive into the solution by downloading the product data sheet here.

Demo MACRA Measures & Insights at HIMSS17 in Orlando

Health Catalyst will demonstrate MACRA Measures & Insights at the 2017 HIMSS Conference & Exhibition in Orlando, Feb. 20-23.  Visit booth #5173 or schedule a meeting to ensure the right people are available to meet with you.

About Health Catalyst

Health Catalyst is a next-generation data, analytics, and decision support company committed to being a catalyst for massive, sustained improvements in healthcare outcomes. We are the leaders in a new era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise, and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs in support of more than 85 million patients for organizations ranging from the largest US health system to forward-thinking physician practices. Our technology and professional services can help you keep patients engaged and healthy in their homes and workplaces, and we can help you optimize care delivery to those patients when it becomes necessary. We are grateful to be recognized by Fortune, Gallup, Glassdoor, Modern Healthcare and a host of others as a Best Place to Work in technology and healthcare. Visit www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook.

Media Contact:
Todd Stein
Amendola Communications
916-346-4213
tstein@acmarketingpr.com

catalyst.ai by Health Catalyst democratizes machine learning, enables transformative outcomes improvement through predictive analytics for healthcare organizations of all sizes

SALT LAKE CITY – February 14, 2017 – Machine learning is a part of everyday life for most Americans, from navigation apps to Amazon’s omniscient purchase recommendations. But in healthcare the use of machine learning has so far been limited to niche science projects in large and academic health systems – those able to afford the highly skilled data scientists and dedicated teams required to turn their data into meaningful performance improvements.

Health Catalyst is on a mission to change that by embedding the value of machine learning throughout healthcare. Last month, the company launched healthcare.ai™ to help make machine learning routine, pervasive and actionable for healthcare organizations of all sizes. The collaborative, open source repository of machine learning tools and expertise including topical blog content and weekly live hands-on machine learning educational broadcasts, makes it easy to deploy machine learning in any environment.

Now, to bring the life-saving technology to hospitals and patients everywhere, Health Catalyst  is embedding machine learning as a core capability across the company’s entire product line in an initiative called catalyst.ai™.  With optimized machine learning models built into every Health Catalyst application, organizations can leverage the technology for predictions such as identifying patients who are most likely to acquire deadly infections; finding those who may have trouble paying their medical bills; spotting possible canceled appointments before they happen; or launching proactive medical interventions for patients who are at risk for dangerous complications.

Together, healthcare.ai and catalyst.ai represent the next generation of healthcare analytics. With these machine learning innovations now readily available to organizations large and small, American healthcare will be equipped to exchange today’s limited, retrospective analysis for a new era of powerful, predictive analytics driving an orders-of-magnitude improvement in outcomes.

“Predictive analytics powered by machine learning has truly vast potential in healthcare, but we lag other industries by several years largely because early efforts were extremely expensive one-off models requiring an army of data scientists to write and test the algorithms behind the technology,” said Health Catalyst Executive Vice President of Product Development Dale Sanders. “catalyst.ai solves that problem by lowering the bar for entry and enabling data architects and analysts to become ‘citizen data scientists.’

“Another factor limiting the usefulness of machine learning is that healthcare data is far more complex than data in other industries and difficult to aggregate. Machine learning algorithms are only as good as the volume and quality of data that feeds them. We’ve invested tens of millions of dollars over the last few years to create high-volume high-quality data content that these algorithms thrive on, and we are embedding the results in the workflow of clinicians in every department across a hospital or health system.”

Example:  Using machine learning to reduce hospital-acquired infections

Health Catalyst machine learning has already been deployed at multiple client sites with promising outcomes. A recent article published by Hospitals and Health Networks shares the approach and results of one, integrated health system who is using predictive analytics in its CLABSI prevention initiative. They want to be able to predict which patients are most likely to develop a CLABSI so clinicians can proactively intervene more quickly and deliver optimal care for her or his patient.

They use an enterprise data warehouse (EDW) and a machine learning model to bridge information gaps in its EMR data and to develop a complete picture of patients’ CLABSI risk. Models on the data were developed and tested by using machine learning algorithms such as logistic regression and random forest—the workhorses of the machine learning world. This led to the development of a CLABSI risk prediction model that is built into a unit-level dashboard used by nursing staff to identify patient-level care gaps. In addition to the risk score, the top three risk factors for each high-risk patient are displayed, providing immediate insight into specific actions that can reduce the CLABSI risk for these patients.

According to a recent Scottsdale Institute report on the project, the risk-prediction tool—which auto-mines the EHR daily—has successfully predicted 85 percent to 90 percent of CLABSIs

Machine learning + data = success

catalyst.ai’s effectiveness is closely tied to Health Catalyst’s proven ability to integrate high-volume data from virtually every internal and external source available. Because multiple sources of data are required for machine learning to develop the models that drive predictive analytics, the technology is more effective the more data is present. Most companies providing machine learning solutions require customers to figure out how to connect up to 100 different data sources to make the technology work. By contrast, Health Catalyst’s EDW integrates 120 different data sources, including the electronic health record (EHR), claims, key financial, operational and patient satisfaction systems.

“I want to acknowledge Eric Just, Dr. Levi Thatcher, and the rest of our Data Science team who are making breakthrough progress, unlike any vendor in the market, including the largest players,” said Sanders.  “At Health Catalyst we have a proven track record and know how to make outcomes improvement work. We know how clinicians use data to make decisions. We understand the context in which the machine learning insight needs to be delivered, and the right time and modality to deliver that insight. That knowledge is built into catalyst.ai, scaling machine learning and outcomes improvement for use by virtually any organization. The bottom line is that we believe our clients will save many more lives and improve the care process for everyone.”

Machine learning models available today

In addition to its CLABSI risk prediction model, Health Catalyst has leveraged catalyst.ai to deploy numerous predictive models at launch that are useful for clinical, financial and operational decision support, including clinical decision support models for:

  • Central line-associated bloodstream infection future risk (CLABSI)
  • Chronic obstructive pulmonary disease (COPD) readmission risk
  • Pre-surgical risk for bowel surgery
  • Diabetes future risk
  • Financial and operational decision support models such as propensity to pay and appointment no-show risk

In addition to predictive models, Health Catalyst is currently developing algorithms that use machine learning to identify treatment patterns that lead to better outcomes. These algorithms will be used to drive treatment decisions on patients by showing how ‘patients like this’ were treated and what the outcomes were for a cohort of similar patients.

Explore catalyst.ai in Live Webinar, Thursday, Feb. 16

For a detailed look at catalyst.ai, join the Health Catalyst product development team for a live product webinar on Thursday, February 16th, 1-2:30 p.m. EST.  Attendees will be able to view a live demo of catalyst.ai and participate in a live question and answer session.  Register for the webinar here.

Join weekly machine learning webcasts starting Feb. 23

Beginning on Feb. 23, Health Catalyst will host a weekly, live YouTube session, “Hands-On Healthcare Machine Learning,” at 3pm EST. Each session will feature Levi Thatcher, PhD and the Health Catalyst data science team demonstrating one or more key data science principles, including machine learning, visualization, R, Python, the healthcare.ai  and catalyst.ai predictive packages, as well as tools to understand and improve population health outcomes.  The weekly broadcast is part of Health Catalyst’s mission to democratize machine learning in healthcare by providing practical hands-on advice to help aspiring analysts become “citizen data scientists,” and to help existing data scientist accelerate the effectiveness of machine learning and predictive analytics to improve outcomes.

Register to attend the weekly machine learning sessions here.

About Health Catalyst

Health Catalyst is a next-generation data, analytics, and decision support company committed to being a catalyst for massive, sustained improvements in healthcare outcomes. We are the leaders in a new era of advanced predictive analytics for population health and value-based care with a suite of machine learning-driven solutions, decades of outcomes-improvement expertise, and an unparalleled ability to integrate data from across the healthcare ecosystem. Our proven data warehousing and analytics platform helps improve quality, add efficiency and lower costs in support of more than 85 million patients for organizations ranging from the largest US health system to forward-thinking physician practices. Our technology and professional services can help you keep patients engaged and healthy in their homes and workplaces, and we can help you optimize care delivery to those patients when it becomes necessary. We are grateful to be recognized by Fortune, Gallup, Glassdoor, Modern Healthcare and a host of others as a Best Place to Work in technology and healthcare. Visit www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook.

For more information contact:
Todd Stein
Amendola Communications for Health Catalyst
916.346.4213
tstein@acmarketingpr.com

First open source, machine learning repository specifically for healthcare enables industrywide collaboration to advance outcomes improvement through artificial intelligence

SALT LAKE CITY, Dec. 1, 2016 — Use of machine learning and predictive analytics to improve health outcomes has so far been limited to highly-trained data scientists, mostly in the nation’s top academic medical centers.

No longer. healthcare.ai is on a mission to make machine learning accessible to the thousands of healthcare professionals who possess little or no data science skills but who share an interest in using the technology to improve patient care. By making its central repository of proven machine learning algorithms available for free, healthcare.ai enables a large, diverse group of technical healthcare professionals to quickly use machine learning tools to build accurate models. The healthcare.ai site provides one central spot to download algorithms and tools, read documentation, request new features, submit questions, follow the blog, and contribute code.

healthcare.ai was started by Health Catalyst, a leading data warehousing, analytics and outcomes improvement company that is contributing ongoing support to the open source community. Health Catalyst has used healthcare.ai to build predictive models that drive its clients’ outcomes improvement efforts and span across the company’s product lines. Models include but are not limited to a predictive model for central line associated blood stream infection (CLABSI), readmission models for COPD and other chronic conditions, schedule optimization, and financial predictions such as patient propensity to pay.

“Machine learning and artificial intelligence are going to transform healthcare. We are seeing amazing results and yet we are barely getting started. We are applying it to the reduction of patient harm events, care management, hospital acquired infections, revenue cycle management, patient risk stratification, and more,” said Dale Sanders, Executive Vice President of Health Catalyst. “With machine learning, the data is talking to us, exposing insights that we’ve never seen before with traditional business intelligence and analytics. By open sourcing healthcare.ai, we hope to facilitate industrywide collaboration and advance the adoption of machine learning, making it easy for healthcare organizations to learn from and enhance these tools together, without the need for a team of data scientists. All of us have seen what open source software has achieved in other industries and we want to be a part of that in healthcare. ”

How healthcare.ai works

healthcare.ai makes it easy to create predictive and pattern recognition models using a healthcare organization’s own data—and is unlike any other machine learning tool in the industry. The open source repository features packages for two common languages in healthcare data science—R and Python. These packages are designed to streamline healthcare machine learning by simplifying the workflow of creating and deploying models, and delivering functionality specific to healthcare:

  • Pays attention to longitudinal questions
  • Offers an easy way to do risk-adjusted comparisons
  • Provides easy connections and deployment to databases

Both healthcare.ai packages provide an easy way to create models on a health system’s own data. This includes linear and random forest models, ways to handle missing data, guidance on feature selection, proper performance metrics, and easy database connections.

“We believe that machine learning is too helpful and important to be handled solely by full-time data scientists,” said Sanders. “The new tools in healthcare.ai enable BI developers, data architects, and SQL developers to create appropriate and accurate models with healthcare data, without hiring a data scientist. These tools will democratize machine learning in a realm that needs it most—because everyone benefits when healthcare is made safer, more efficient and effective. And, we are not just being altruistic here. By submitting our tools and algorithms to the open source community, we and our clients will benefit from the collective intelligence that exists beyond our team of data scientists.”

Participation in healthcare.ai is simple.  Interested parties can visit the site, choose either the R or Python language, read the install instructions, and follow the examples – at no cost. There is no similar platform or environment for healthcare professionals who are seeking to expand their skills and the value of machine learning to their organization.

About healthcare.ai

healthcare.ai is the world’s first repository of healthcare-focused open source machine learning software. In healthcare, everyone benefits from a more efficient system and better outcomes. healthcare.ai delivers the powerful, helpful, simple tools required to transform healthcare data into actionable insights that can be used to improve outcomes. Join the healthcare.ai community today and be a part of the movement to democratize machine learning in healthcare. https://healthcare.ai.

About Health Catalyst

Health Catalyst is a mission-driven data warehousing, analytics and outcomes-improvement company that helps healthcare organizations of all sizes perform the clinical, financial, and operational reporting and analysis needed for population health and accountable care. Our proven analytics platform helps improve quality, add efficiency and lower costs in support of more than 70 million patients for organizations ranging from the largest US health system to forward-thinking, small physician practices. For more information, visit https://www.healthcatalyst.com, and follow us on TwitterLinkedIn and Facebook.

Media Contact:
Todd Stein
Amendola Communications
916-346-4213
tstein@acmarketingpr.com

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