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Dr. David Nash Presents Keynote: Leadership for Population Health

Dr. David Nash is the Founding Dean of the Jefferson College of Population Health on the campus of Thomas Jefferson University in Philadelphia. His keynote presentation at the 2017 Healthcare Analytics Summit, titled “Leadership for Population Health,” will address several formative topics, including:

The state of the U.S. healthcare economy
Moving from volume-based to value-based care
The people and technology issues involved in this transition

Even the most knowledgeable population health adherents attending HAS™ will learn new strategic pointers as Dr. Nash describes his checklist for managing population health and delves into the analytics tools best suited for today’s healthcare landscape.

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An Inside Look at Building Machine Learning for Healthcare

Machine learning is a term that crops up often in healthcare lately, but it’s important to understand what really constitutes learning in this context. What some call machine learning is actually unintentional programming, but true learning is derived during the process of building a predictive model. This article delves into the nuts and bolts of a healthcare machine learning model and describes the training process a model undergoes to impact outcomes for patients.

The key ingredient is data and the key deliverable is to complete the feedback loop so those responsible for managing care have actionable information at their disposal.

Machine learning is beyond conceptual; it’s incorporated into a growing list of predictive models for various disease classifications.

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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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Readiness Assessment Crucial First Step in Building an Outcomes Improvement Focused Organization

Healthcare organizations need to be cognizant of their readiness for change, enabling them to create a plan that will enhance the organization’s ability to successfully drive change. While many studies have been completed on the importance of organizational readiness in non-healthcare organizations, there is little research and relatively few, measurement tools focused specifically on healthcare organizations.

To cement the Pulse Heart Institute (Pulse Heart) as a destination for adult heart health, and ensure its long-term success, Pulse Heart required a better understanding of its readiness to drive and sustain outcomes improvements—which it found through an onsite assessment that leveraged the Health Catalyst^® Outcomes Improvement Readiness Assessment (OIRA) framework. Using the assessment findings and subsequent recommendations, Pulse Heart successfully developed, and continues to develop, the findings to guide workplans to improve competencies and enable the organization for long-term outcomes improvements success.

Based on the results of the onsite readiness assessment they have identified and implemented interventions to improve readiness for change in each of the five major OIRA Tool categories:

Leadership, culture, and governance
Analytics
Best practices
Adoption
Financial Alignment

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Labor and Delivery Transformations Lower Costs and Improve Care

One in three women delivers via cesarean in the U.S., and more than 90 percent of them have repeat operations in subsequent deliveries. Despite numerous evidence-based guidelines and established best practices for labor and delivery, clinical care varies widely for many practices. Labor and delivery care varied at Thibodaux Regional Medical Center, causing the organization to look for ways to standardize care.

To better understand variations in care, and opportunities to reduce its cost, the labor and delivery care transformation team at Thibodaux Regional used the Health Catalyst Labor and Delivery Advanced Application as well as the Financial Management Explorer application, which integrates data from billing and costing, and creates snapshots of current financial metrics.

Informing and educating providers with provider-specific data in conjunction with redesigned workflow, standardized supplies, and new, standardized protocols enabled the labor and delivery care transformation team at Thibodaux Regional to experience cost savings and improved outcomes, including:

24.4 percent relative reduction in the cost of care for uncomplicated vaginal delivery. Projected annual cost savings of $266,067.
22 percent relative reduction in the cost of care for cesarean deliveries. Projected annual cost savings of $346,856.

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