HAS Registration Info

“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”


Health Catalyst University


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.

A1 – Machine Learning Part 1: Healthcare Data Analysis in R

For: analysts, data scientists, and data architects

$195

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Monday, September 11, 12:00 pm - 5:00 pm

A2 – Machine Learning Part 2 : Healthcare Machine Learning

For: analysts, data scientists, and data architects

$395

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Tuesday, September 12, 9:00 am - 5:00 pm

B - Making Decisions with Data Track

For: leaders and members of data-driven improvement teams

$395

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Tuesday, September 12, 9:00 am - 5:00 pm

Location - The Grand America Hotel

Salt Lake City's only AAA Five Diamond Hotel

Registration



What Attendees From Last Year Had to Say

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.

Apply to be an Analytics Walkabout Speaker

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A1 – Machine Learning Part 1: Healthcare Data Analysis in R

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:

Healthcare data analysis in R (Part 1, Day 1, Half Day)

  • Install packages in RStudio
  • Tell a data story with a notebook
  • Load data from common sources
  • Profile your data
  • Create visualizations
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.

A2 – Machine Learning Part 2 : Healthcare Machine Learning

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:

Healthcare Machine learning (Part 2, Day 2, Full Day)

  • Pick a ML use case with high ROI
  • Prepare the data
  • Develop a model
  • Deploy into production
  • Visualize the predictions
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.

B - Making Decisions with Data Track

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.

Highlights of The Grand America Hotel

  • Its prime downtown Salt Lake City location.
  • Beautifully landscaped courtyards and gardens.
  • A terraced outdoor pool with seasonal poolside dining.
  • 75,000 square feet of flexible meeting space.
  • A full-service Business Center located on the lobby level.
  • Recognition as a AAA Five Diamond catering facility.
  • The hotel’s signature restaurant, The Garden Café, serves contemporary American cuisine.
  • Experience a new level of luxury in the refined space of the Grand Spa. Completely remodeled in 2013, adding more than 4,400 square feet of space to the facility. Now comprising more than 20,000 square feet, the Grand Spa includes 18 total service rooms, including couples massage rooms with experience showers, couples relaxation lounge, wet treatment rooms, facial rooms and numerous new salon stations.
  • A French Patisserie, La Bonne Vie, offers delectable bakery items and a coffee bar.
  • Our preferred transportation provider, Haroon Transportation, offers round-trip and one-way transfers between the Salt Lake City International Airport and The Grand America Hotel. Reservations are required and can be made at The Grand America Hotel through our Guest Experience representatives.
The Grand America Hotel in Salt Lake City offers 775 spacious luxury rooms and suites with step-out balconies and stunning views of the mountains, skyline, and sunset. All rooms offer large, upscale marble bathrooms. Each room is individually decorated with hand-crafted Richelieu furniture, English wool carpets, Carrera Italian marble, and the finest fabrics. Complimentary Wi-Fi is also available in all guest rooms.

Salt Lake City Area Information

Salt Lake City is a unique blend of history, art, culture, entertainment and recreation set in a breath-taking location at the foot of the Wasatch Mountains. Known for its friendly hospitality, Salt Lake is a safe and thriving city with a clean, accessible downtown; recreational activities that could take you from the ski slopes to the golf course in the same day; world-class shopping; and an exciting nightlife. If you haven’t visited Salt Lake before, you’ll be pleasantly surprised by all it has to offer. General Information: Salt Lake City Visitor Information Shopping: City Creek Center, and The Gateway.

Transportation

Airport to/from hotel: the Grand America is about 15 to 20 minutes of the Salt Lake City International Airport (SLC). Attendees can take a taxi to/from the airport for approximately US$25-$30 each way. An alternative option to a taxi is the UTA light rail system. Learn more.

Apply to be an Analytics Walkabout Speaker

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A1 – Machine Learning Part 1: Healthcare Data Analysis in R

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:

Healthcare data analysis in R (Part 1, Day 1, Half Day)

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.

A2 – Machine Learning Part 2 : Healthcare Machine Learning

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:

Healthcare Machine learning (Part 2, Day 2, Full Day)

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.

B - Making Decisions with Data Track

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: By the end of this course, you will: 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.

Highlights of The Grand America Hotel

The Grand America Hotel in Salt Lake City offers 775 spacious luxury rooms and suites with step-out balconies and stunning views of the mountains, skyline, and sunset. All rooms offer large, upscale marble bathrooms. Each room is individually decorated with hand-crafted Richelieu furniture, English wool carpets, Carrera Italian marble, and the finest fabrics. Complimentary Wi-Fi is also available in all guest rooms.

Salt Lake City Area Information

Salt Lake City is a unique blend of history, art, culture, entertainment and recreation set in a breath-taking location at the foot of the Wasatch Mountains. Known for its friendly hospitality, Salt Lake is a safe and thriving city with a clean, accessible downtown; recreational activities that could take you from the ski slopes to the golf course in the same day; world-class shopping; and an exciting nightlife. If you haven’t visited Salt Lake before, you’ll be pleasantly surprised by all it has to offer. General Information: Salt Lake City Visitor Information Shopping: City Creek Center, and The Gateway.

Transportation

Airport to/from hotel: the Grand America is about 15 to 20 minutes of the Salt Lake City International Airport (SLC). Attendees can take a taxi to/from the airport for approximately US$25-$30 each way. An alternative option to a taxi is the UTA light rail system. Learn more.