Webinars & Events

Health Catalyst

The Cost of Healthcare: A Revisionist History (HAS17)

Robert A. DeMichiei, Executive Vice President and Chief Financial Officer, UPMC
The healthcare industry has long relied on volume, revenue, and commercial payers to sustain operations and fund our community and academic missions. With a rapidly changing landscape, reducing cost and delivering value to patients and payers is critical to survival. In this session, Rob DeMichiei, executive vice president and chief financial officer, UPMC, will challenge traditional thinking around cost, clinical variation, and how we measure efficiency. Without a reliable way to measure your costs and productivity at a patient and physician level, how can you ever expect to identify opportunities for improvement? Rob will provide an introduction to activity-based costing, how it works, and how it is used by UPMC to drive cost productivity, identify clinical variation, measure service line performance, and link cost and quality.

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David Grauer

Create and Sustain an Improvement Culture to Drive Clinical, Financial, and Operational Outcomes

In this webinar, David will share a model outlining the cultural transformation necessary for sustained clinical, financial, and operational outcomes improvement.
Critical components to this transformation that will be discussed are:

Sharing a clear and compelling vision with transparent expectations.
Engaging all levels of employees as improvement team members.
Establishing accountability and measurement mechanisms.
Promoting successes.

This session is presented in cooperation with the Health Catalyst Accelerated Practices Program, a highly immersive, project-based learning experience that focuses on the tools and knowledge needed to achieve significant sustained improvements in healthcare.

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Thomas D. Burton

Unleashing Data: The Key To Driving Massive Improvements

Tom shares how investing in analytics training and infrastructure will help prepare for massive improvements in healthcare outcomes leading to sustained and distributed improvements throughout entire organizations.

Attendees will learn:

The key team roles and skillsets required for driving and sustaining massive improvements.
How to assess improvement opportunities from an effort and value perspective.
The most common mistakes in leveraging analytics and how to avoid them.

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Rachel C. Sisodia, MD

Realizing The Promise of Patient Reported Outcomes Measures

Dr. Rachel Clark Sisodia, a champion of the system-wide adoption of Patient Reported Outcomes Measures at Partners Healthcare, will share her experience and perspective on the relevance and necessity of Patient-Reported Outcomes Measures (PROMs). In this webinar, Dr. Sisodia will highlight how the PROMs ideas have been put into practice at Partners HealthCare.
Join us and learn:

Strategies and tactics for overcoming potential barriers to collecting and effectively using PROMs.
Through specific examples, how to demonstrate that PROMs can help deliver faster, more personalized care for individual patients.
How to collect and use advanced analytics to leverage aggregate PROMs data to inform clinical patient and provider decisions.
How to use outcomes metrics for quality improvement and comparative effectiveness.

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Dr. Amy Flaster

Growing Toward Population Health Management: A Framework For Healthcare Transformation

Dr. Amy Flaster, an Internal Medicine physician, the Assistant Medical Director, Partners Center for Population Health, Partners Healthcare and the Vice President, Population Health Management and Care Management at Health Catalyst will share our PHM transformational framework to support your own thinking and planning on your transformational journey to PHM.
Dr. Flaster will also highlight the work of national leaders in various aspects of PHM, including:

Success stories in hotspotting
ED avoidance strategies
Primary-care embedded complex care management
Transitional care management
Ambulatory quality measures
Post-acute network development

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Bobbi Brown
Dorian DiNardo

The Latest Healthcare Financial Trends: What You Need to Know

As 2017 comes to an end, two of our most experienced and capable people are assessing this year’s most prominent healthcare financial trends and using those clues to better read the tea leaves to predict which trends will impact 2018. Tasked with delivering ground breaking financial software products, Dorian DiNardo, Senior Vice President, Analytics, daily has her finger to the wind to sense how shifting trends are impacting market needs. She will join Bobbi Brown, Senior Vice President, Professional Services, who will lead the webinar conversation. Bobbi has several impressive decades of experience in financial leadership for some of the most storied organizations including Intermountain, Sutter Health and Kaiser Permanente. Among other trends that popup in the next few weeks, she will examine three of 2017’s most significant healthcare trends:

Transitions in payment models
Healthcare market disruptions from well-known companies as well as some not-so-familiar newcomers
Emerging importance of technical data skillsets

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Gene Thompson, Director, Health City Cayman Islands

Delivering The Healthcare Pricing Transparency That Consumers Are Demanding

Can you imagine having your detailed healthcare pricing published in the Wall Street Journal? The thought makes most health systems cringe with concern that they’d lose money on the unknown. And yet every other major consumer category includes pricing up front. Amazingly, one health system has developed just such a care model for most major specialties that is predictable and completely transparent. Join us in this webinar to learn how they did it. You’ll get amazing insight into the importance of their quality measures and actual, daily costing for each procedure, not just allocated costs.

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John Wadsworth

Have Data—Need Analysts. Lessons Learned From The Woodworking Industry

Recent advances in healthcare technology are designed to help organizations achieve the Quadruple Aim. While IT vendors tout better tools as the solution for healthcare woes, all data analysts and architects know this isn’t true. John Wadsworth, senior vice president, Health Catalyst, will share valuable, practical learnings from his 20 plus years of experience as a data analyst in this hands-on session that will explore the rich analytic ecosystem found in health care.

John will share:

Healthcare industry examples that highlight the required synergy of technology (e.g. EHRs, EDWs, ancillary health and reporting systems, etc.)
Data analyst skill proficiencies that help drive sustained clinical, financial, and operational improvements.

John’s unique presentation style leverages simple and fun analogies to galvanize key concepts for technology, clinical, and executive attendees. In this webinar, he will bring lessons learned from the woodworking industry and demonstrate how they apply to healthcare analytics. Come prepared to engage, laugh, and learn. You’ll leave with a deeper understanding of the skills needed to fully leverage your analytic ecosystem.

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Dale Sanders

Healthcare Mergers and Acquisitions: Reducing IT Consolidation Expenses with a Data Operating System

Join Dale Sanders, President of Health Catalyst Technology, in this webinar as he explains his experiences, observations, and advice about the use of an EDW or DOS to reduce the costs of IT integration in healthcare M&A and rapidly increase the value proposition of the new organization. Dale has a diverse background in complex data environments and decision support, spanning three decades in the US Air Force, National Security Agency, and as a CIO in healthcare.

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Kenneth Kleinberg
Eric Just

The Why And How Of Machine Learning And AI: An Implementation Guide For Healthcare Leaders

Join Kenneth Kleinberg, Health IT Strategist, and Eric Just, Senior Vice President, Health Catalyst, as they discuss the What, Why, and How of Machine Learning and AI for healthcare leaders.

Attendees will learn:

Practical steps, timeframes and skills as well as real-time data and moving targets associated with the Implementation of ML and AI
How to deal with challenges inherent in ML and AI implementation
What the future holds for ML and AI

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Kathleen Clary, BSN, MSN, DNP

Care Management - Critical Component Of Effective Population Health

In this first webinar, of a two-part series, Dr. Kathleen Clary will share how analytics can be used to answer these questions to ensure delivery of a well-organized and effective care management program.
Dr. Clary will discuss how analytics can enable:

Data integration from multiple EMRs and data sources
Patient stratification and intake
Care coordination
Patient engagement
Performance measurement

We look forward to you joining us!

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Mike Dow
Carolyn Wong Simpkins, MD, PhD

Demystifying Text Analytics and NLP in Healthcare

Leading the discussion, we have two exceptional thinkers in this space, Mike Dow, a former CIO and current Health Catalyst product manager and software developer, and Dr. Carolyn Simpkins, Health Catalyst’s Chief Medical Informatics Officer.
They will share thoughts on the challenges of text in clinical analytics as well as demonstrate:

Why text is an important part of clinical analytics
Why a text search is not enough
How clinical text search can be refined with NLP techniques

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Stan Pestotnik, MS, RPh
Valere Lemon, MBA, RN

Using Data To Improve Patient Safety: Part 2 — Real Life Use Cases

Stan and Valere will discuss how using an automated trigger tool for all-cause harm reviews will provide timely, real-time patient safety data useful to drive down harm rates with earlier interventions. Additional benefits of this approach include having a more accurate and robust source of data for identifying harm trends to then be able to integrate the findings into existing quality improvement processes for further quality improvement efforts.

Attendees will learn how to:

Understand the importance of dedicating resources to impact downstream costs
Identify their key sources of Patient Safety data
Integrate Patient Safety data in to existing Quality Improvement Processes
Learn and improve from real-time safety analytics combined with a Culture of Safety

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Dan Unger
Bobbi Brown

Introducing The Next-Generation Cost Management Suite To Help Hospitals Thrive Amid Unprecedented Market Disruption

Learn how CORUS is enabling these significant improvements:

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 true cost of patient care
Manufacturing-style activity-based costing 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 an analytics platform that supports over 160 source systems including EHR, claims, General Ledger, payroll, supply chain, and patient satisfaction systems

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Stan Pestotnik, MS, RPh
Valere Lemon, MBA, RN

Using Data To Improve Patient Safety: A Two-Part Discussion

As healthcare organizations continue to experience expenses growing faster than revenues, value based care, and consumer transparency of costs and quality, patient safety will be an important determinant of success. This session will describe the sociotechnical attributes of a safe system, the challenges, the barriers and opportunities, and how to use data and your culture of safety as a powerful tool to drive down adverse events.
Attendees will learn:

Why patient safety and quality are important.
How data can help improve patient safety.
The history of patient safety and where we are today.
What components make up a safety analytics culture.
How the internal safety culture directly impacts patient safety metrics.
To describe basic guidelines for improving a safety culture with analytics.

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Dale Sanders

The Data Operating System: Changing The Digital Trajectory Of Healthcare


Please join Dale Sanders, President of Technology, for a webinar on this topic as he discusses Health Catalyst’s plans to change the digital trajectory of healthcare through the development of the Health Catalyst Data Operating System (DOS™). Dale has a diverse background in complex data environments and decision support, spanning three decades in the US Air Force, National Security Agency, and a CIO in healthcare.

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Carolyn Wong Simpkins, MD, PhD

Patient-Centered Care Requires Patient-Centered Insight: What We Can Do To Complete The Picture

Health systems and providers are inundated with measurement systems and reporting. Why would we want to add to the measurement mayhem? The real question is, “Are we measuring what matters?”
Carolyn Simpkins MD, PhD, chief medical informatics officer, will discuss how putting the patient at the center of the measurement matrix can bring coherence and completeness to the picture of care delivery performance across the patient journey, and therefore the performance of the healthcare ecosystem.
She will describe the building blocks for patient-centered measurement and how other metrics, patient-reported outcomes, and patient satisfaction fit into this approach. Carolyn will also review the challenges that have kept health systems from completing a patient-centered outcomes approach and why we are poised to break through. Finally, she will share case studies of organizations who have begun to pioneer the use of patient centered metrics to improve care and outcomes.

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Levi Thatcher
Michael Mastanduno, PhD

Machine Learning Misconceptions

With all the buzz around machine learning, predictive analytics, and artificial intelligence (AI) there are a lot of misconceptions and misunderstandings surrounding the optimal use of modern machine learning tools. Healthcare.ai, a free software package developed by the Health Catalyst data science team, was recently released to help hospitals gain valuable insights and advance outcomes improvements from their immense data sets. The software automates machine learning tasks and democratizes machine learning by making it accessible to ‘citizen data scientists’. We have received several questions about machine learning in healthcare, such as how do you define machine learning, how is it different than AI, what are some common uses cases for machine learning in healthcare, and what are the pitfalls. This webinar will develop a common vocabulary around these ideas. We’ll cover the differences between the most cutting-edge predictive techniques, how a model can be improved over time, and use case vignettes to understand and avoid typical machine learning pitfalls. In today’s healthcare industry, the fastest path to healthcare outcomes is often achieved using the simplest predictive tools.

Mike Mastanduno, PhD, data scientist, and Levi Thatcher, PhD, director of data science, will discuss the landscape of healthcare-specific machine learning. Mike and Levi have extensive experience building and deploying impactful machine learning models using healthcare.ai and have worked at the cutting edge of medical research. During and after the discussion, they will answer viewer-submitted questions. This webinar will:

Compare and contrast machine learning and AI.
Discuss techniques that offer feedback into the system and when it’s necessary to retrain a model.
Give advice on how to avoid common pitfalls in machine learning implementation.
Provide use case example and vignette examples on how to apply the different classes of machine learning techniques.


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Dorian DiNardo

Introducing Leading Wisely™: The Next-Generation of Executive Decision Support

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.
To help, Health Catalyst has announced 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. This product 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, leaders 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 effectively.
Dorian DiNardo, Senior Vice President of Product Development, discusses this new product with the following primary benefits:

Visibility across all of your key measures and goals to strategize, balance, and optimize your performance
Provides a single source of cross-organizational truth via the Health Catalyst data warehouse
Gives real-time ability to slice-and-dice different vertical or horizontal views with additional drill-down capabilities
Prioritize and communicate with proactive notifications, alerts, and social interactions

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Daniel Orenstein

Will New Healthcare Policy Impact Value-Based Healthcare?

The final days of 2016 were fraught with uncertainty about what Congress and the new Trump Administration would do to the Affordable Care Act (ACA) and the healthcare regulatory landscape overall. So far, in 2017, we do not have much more clarity. Repeal, repeal and replace, repeal and delay, modify without repeal—there are now even more questions than answers and still no consensus Republican plan in sight. Yet healthcare executives would certainly appreciate some modicum of clarity, at least on the narrower topic of whether the shift to value-based healthcare models will continue under whatever new system is coming. This webinar attempts to add clarity by analyzing what we know so far, as reflected in the limited actual evidence that is available.

Join Dan Orenstein, General Counsel, Health Catalyst, as he analyzes these three key pieces of information:

The 21st Century Cures Act (Cures)
The Executive Order on reducing the “burden” of the Affordable Care Act (ACA)
Tom Price’s comments at his confirmation hearings

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Bradley Hunter

KLAS: The Population Health Management Journey

As population health management goes mainstream, providers need robust, integrated software solutions to aggregate and analyze data, coordinate care, engage patients and clinicians, and provide full administrative and financial functionality. Population Health Management is a journey, and the number of approaches to population health are varied.
Join Bradley Hunter, Research Director over Population Health at KLAS as he addresses these key questions:

How are providers looking to tackle population health?
What are the challenges facing providers today?
Which vendors are meeting the needs or are poised the meet the needs of providers in the future?

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Dale Sanders

The MD Anderson / IBM Watson Announcement: What Does It Mean For Machine Learning In Healthcare?

It’s been over six years since IBM’s Watson amazed all of us on Jeopardy, but it has yet to deliver similar breakthroughs in healthcare. The headlines in last week’s Forbes article read, “MD Anderson Benches IBM Watson In Setback For Artificial Intelligence In Medicine.” Is it really a setback for the entire industry or not? Health Catalyst’s EVP for Product Development, Dale Sanders, believes that the challenges are unique to IBM’s machine learning strategy in healthcare. If they adjust that strategy and better manage expectations about what’s possible for machine learning in medicine, the future will be brighter for Watson, their clients, and AI in healthcare, in general. Watson’s success is good for all of us, but it’s failure is bad for all of us, too.

Join Dale as he discusses:

The good news: Machine learning technology is accelerating at a rate beyond Moore’s Law. Dale believes that machine learning algorithms and models are doubling in capability every six months.
The bad news: The healthcare data ecosystem is not nearly as rich as many would believe, and certainly not as rich as that used to train Watson for Jeopardy. Without high-volume, high-quality data, Watson’s potential and the constant advances in machine learning algorithms will hit a glass ceiling in healthcare.
The best news: By adjusting strategy and expectations, there are still plenty of opportunities to do great things with machine learning by using the current data content in healthcare, while we build out the volume and breadth of data we need to truly understand the patient at the center of the healthcare picture… and you don’t need an army of PhD data scientists to do it.

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