We have two pre-summit options this year.
(Tuesday, September 11)
The Health Catalyst User Group and Customer Advisory Board will take place all day on Tuesday September 11 from 8:30 am – 5:30 pm.
This year the user group will start with strategy updates from Dan Burton and Dale Sanders, followed by a morning filled with user-selectable product breakout sessions. Theses session will focus on showing our future product roadmaps and giving best practice use case recommendations.
User Group Product Breakout Sessions
1 – DOS & Data governance use cases
2 – Machine learning and text analytics use cases
3 – Patient Safety use cases
4 – Care Management user cases
5 – CORUS, Budgeting, and Labor Management User Cases
6 – Leading Wisely and Touchstone User Cases
7 – Regulatory and Performance Measures User Cases
8 – Partnership solutions
In the afternoon, we’ll break out into a number of user selectable, topic-based best practices sessions.
Topic-based Breakout Sessions
9 – Patient Safety Organization (PSO)
10 – Optimizing the Coexistence of Health Catalyst and Epic
11 – Population Health / ACO / Managing Risk
12 – Employer initiative
13 – HIE analytics
14 – Payer / Provider convergence
15 – Best practices for significantly increasing utilization (Run your platform like a small business)
16 – Building and supporting apps on DOS
Later in the afternoon, we will concurrently hold a special Customer Advisory Board session and a sneak preview Products and Services Showcase. We invite and welcome all Health Catalyst clients to join us. We invite and welcome all Health Catalyst clients to join us.
|LA Ballroom set up: Rounds, set up for 300, HC provides ushers|
|7:30 am – 8:15 am||Breakfast|
|8:25 am – 8:30 am||Instructions|
|8:30 am – 8:45 am||Welcome, Health Catalyst Update|
|8:45 am – 9:15 am||Product Roadmap Strategy (Dale Sanders, President, Technology, Health Catalyst)|
|9:30 am – 10:15 pm||Wave #1 – Product & Topic Breakouts|
|10:30 am – 11:15 am||Wave #2 – Product & Topic Breakouts|
|11:30 am – 12:15 pm||Wave #3 – Product & Topic Breakouts|
|12:15 pm – 1:15 pm||Lunch|
|1:30 pm – 2:15 pm||Wave #4 – Product & Topic Breakouts|
|2:30 pm – 3:15 pm||Wave #5 – Product & Topic Breakouts|
|3:30 pm – 5:30 pm||Split Sessions
– Customer Advisory Board: Feedback Session
– User Group: Product and Services Showcase Reception
(Monday, September 10 and Tuesday, September 11)
This year, we have two Health Catalyst University offerings: a two-part machine learning session for analysts and data architects and a session for team members wanting to improve their data-driven outcomes improvement skills.
The Health Catalyst University classes are smaller, instructor-led classes offered at an additional cost. They are affordable and packed with value. The classes are also only offered at HAS, so take advantage of this unique opportunity.
Health Catalyst University Training Classes
Choose the one suited for you
(read below for detailed class descriptions)
|Price||Session (clients, non-clients)||Mon, Sept 10||Tues, Sept 11|
|$195||A1 – Machine Learning Part 1: Healthcare Data Analysis in R (Grand America, 3rd floor)||12:00 pm to 5:00 pm||–|
|$395||A2 – Machine Learning Part 2: Healthcare Machine Learning (Grand America, 3rd floor)||–||9:00 am – 5:00 pm|
|$395||B – Making Decisions with Data: Data-driven Improvement Teams (Grand America, 3rd floor)||–||9:00 am – 5:00 pm|
Read below for more details on our four Health Catalyst University Classes
1-2 Days of What You Need to Get Started with Analysis in R and Healthcare Machine Learning
Ever wanted to participate in the machine learning conversation but weren’t quite sure where to start? Need help going from theoretical conversations to boots-on-the ground action? In both of these hands-on workshop, you’ll learn how to get started. If you haven’t learned data analysis in RStudio, then sign up for Part 1 Day 1 so you’ll be ready for Day 2 of Machine Learning. If you already know RStudio, then sign up just for Day 2. Walk in ready to learn, and you’ll leave with the knowledge necessary to be able to deploy a model that you’ve created! Specifically, you’ll learn how to:
A1 – Healthcare data analysis in R
A2 – Healthcare Machine learning
Who should attend: This session has been designed for analysts, data scientists, and data architects.
What to bring: To participate in the in-class activities, you will need a laptop. Any operating system is fine as long as you have the ability to install programs (specifically R and RStudio) and you have the space to load data sets (<10MB).
Prerequisites: This course assumes a working knowledge of basic statistical concepts (mean, medians) and experience working with tabular data (in Excel or SQL).
Notes: Breakfast and lunch are included in the registration fee.
You Have a Dashboard and Lots of Reports… Now What?
Every day we swim in an ocean of data and try to make sense of it all with dashboards and reports. However, if we really get honest, how many of us can say that dashboards and reports have yielded sustained outcomes improvement? We can’t—because data alone is insufficient to drive the changes required in this new era of healthcare. During this hands-on, full-day session, national experts will help you move beyond the “so what?” With a small instructor to student ratio, expect to be challenged and engaged. You’ll learn to take on a new mindset and behaviors that, when coupled with data-driven improvement methods, result in meaningful outcomes improvements.
Specifically, here’s what we’ll cover during this intense and concentrated period:
- Why a single data point rarely tells the whole story
- How to avoid making big decisions based on partial information
- Why even the best data can’t give you sustained outcomes improvements if there isn’t a culture of improvement
By the end of this course, you will:
- Understand variation, run charts, and control charts
- Evaluate processes through a family of measures
- Learn what polarities are (think: quality and cost) and how they impact decision making
- Recognize the need for both technical and adaptive leadership
Who should attend: This session has been designed for leaders and members of data-driven improvement teams.
What to bring: You’ll want to bring an open mind and enthusiasm to learn in a way you may not have experienced before. All supplies will be provided.
Notes: Breakfast and lunch are included in the registration fee.
"This is the best conference I’ve ever been to in all my years in healthcare…and that’s over 20 years"
This is the best conference I’ve ever been to in all my years in healthcare…and that’s over 20 years
I can’t imagine a better summit. My brain is buzzing with all these new tools, resources, case studies, and innovative ideas and software. I’ll be back next year, and if next year is as good as this year, you’ll definitely have made a follower for life out of me.
This is by far the best conference I have attended. It was well planned and coordinated. Great job to the team for putting this amazing event together.
Same place, same time next year!! The best conference I’ve attended, fabulous job!
It definitely exceeded my expectations. A lot of conferences I go to, you take a lot information but it doesn’t have a practical application. This is completely different because I feel like I have a lot of information I’m excited about and can apply to my situation.
We talk about value -based care…this is a value-based conference. Considering what other conferences costs, the value I get out of this is tremendous.