HAS 17 Registration Info

"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." - HAS 16 attendee

Register Now Before it Sells Out


Space is extremely limited and the event will sell out. Register now for best pricing.
(Eligible for CME credits. Click to read more)

Single Entry

1 Pass

$895

Regular Price $895

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Best Value - 3 Pack

3 Passes - Save $300+

$795

Regular Price $895/each

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5 Pack

5 Passes - Save $1000+

$695

Regular Price $895/each

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Pricing does not include Health Catalyst University Training Classes

Health Catalyst University Classes


We are also offering 4 different full-day Health Catalyst University classroom options. You can add these classes to your HAS registration or just attend these classes. Health Catalyst University classes are an additional cost. Space and seating are limited (last year this sold out in 2 weeks)
Option A

Machine Learning Track

For: Analysts & Data Architects

$495

Register Now

Monday, Sept. 11: 12 - 5pm
Tuesday, Sept. 12: 9am - 5pm

Option B

Finding the Analytic Nuggets: A Better Way to Start

For: Analysts & Data Architects

$395

Register Now

Tuesday, Sept. 12: 9am - 5pm

Option C

Use DataViz to Tell the Story You Mean to Tell—and Get People to Listen

For: Analysts, BI Developers, and Data Architects

$395

Register Now

Tuesday, Sept. 12: 9am - 5pm

Option D

Making Decisions With Data Track

For: Leaders and members of data-driven improvement teams

$395

Register Now

Tuesday, Sept. 12: 9am - 5pm

Location - The Grand America Hotel

Salt Lake City's only AAA Five Diamond Hotel

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What Attendees From Last Year Had to Say

I can’t imagine a better summit. My brain is buzzing with all these new tools, resources, case studies, and innovative ideas and softwares. 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 was the best conference in over 20 years that I have attended.

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!

The more energy you can provide on topics of Healthcare the better. 80s night, dine on us, and fun runs were so AWESOME! Hands down best conference I have ever been to! Thanks to all who put forth the effort to get it all done.

You don’t need my help. Fine job. Best conference of the year!

Apply to be an Analytics Walkabout Speaker

  • This field is for validation purposes and should be left unchanged.

Machine Learning Track

A – MACHINE LEARNING TRACK (2 day)

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

Tuesday, September 12, 9:00 – 5:00 pm

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 this hands-on, 2-day workshop, you’ll learn how to get started. 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 (Day 1)

  • Install packages in RStudio
  • Tell a data story with a notebook
  • Load data from common sources
  • Profile your data
  • Create visualizations
  • Do statistics
  • Keep building skills after you leave
 

Healthcare Machine learning (Day 2)

  • Pick a ML use case with high ROI
  • Prepare the data
  • Develop a model
  • Deploy into production
  • Visualize the predictions
  • Check in and retraining the model

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.

Finding the Analytic Nuggets: A Better Way to Start

B – FINDING THE ANALYTIC NUGGETS: A BETTER WAY TO START

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

Panning for Gold in the EDW River

You know the pattern—a request comes in; a report goes out. But is there more you can be doing along each step of the way to increase performance, accuracy, and understanding? In this all-day workshop, we’ll follow the path from creating a self-service layer though validating insights gained from analysis of it.

Your instructors will include Health Catalyst Senior Analytic Directors Cy Hendricks and Matt Unwin, who along with other experts, will teach you:

  • The pros and cons of modeling healthcare data in several common data warehouse models
  • Best practices for creating reporting views and how to set them up for successful use long term
  • Why data profiling is such an important part of data provisioning and some best practices for doing it quickly using Excel and SQL Server Management Studio (SSMS)
  • Fast ways for finding insights in a data set using Excel
  • Why shooting for 100% accuracy during validation may be a waste of time

Along the way, we’ll share best practice and stories from the field where small improvements made big differences. Plan on an engaging day filled with opportunities to connect with like-minded peers, work on problems together, and learn from experts. You’ll grow and fine-tune your technical skills and explore how you might apply these skills to improve care, reduce costs, and save lives.

Who should attend: This session has been designed for healthcare data analysts, data architects, and data engineers.

What to bring: Bring a laptop that has Excel and SSMS installed; it will be required for in-class activities. Further instructions regarding device setup will be distributed prior to class.

Prerequisites: This course assumes you have a working knowledge of SQL, SSMS, and Excel.

Notes: Breakfast and lunch are included in the registration fee.

Use DataViz to Tell the Story You Mean to Tell—and Get People to Listen

C – USE DATAVIZ TO TELL THE STORY YOU MEAN TO TELL—AND GET PEOPLE TO LISTEN(2 days)

Tuesday, September 12, 9:00  – 5:00 pm

Become a Visualization Hero by Turning Data into Actionable Stories

You spend your days turning heaps of healthcare data into graphs and dashboards. But do your users really “get” the power of those visualizations? Do they really “get” the story you’re telling them? And does that story stick in ways that compel meaningful improvements for your organization?

In this hands-on, all-day workshop, you’ll take your visualization skills to the next level. You’ll learn how to turn your data into actionable stories from experts like Curtis Harris, Tableau’s 2016 #IronViz champion, and Andrew Frueh, director of user experience at Health Catalyst.

This won’t be a traditional sit-and-take-notes-from-an-instructor type of class, though. You’ll have plenty of time to apply what you learned by using healthcare data in real-life scenarios—all in a group setting where you can ask peers and experts any questions that come up. Through a mix of conversation and directed discovery with a low student to trainer ratio, we’ll cover topics including:

  • Finding the stories waiting in a data set
  • How our brain perceives data visualization
  • Design guidelines for well-executed, beautiful charts
  • Establishing context, and using it to craft the most effective dataviz for your audience
  • Using dataviz to address real-world scenarios within healthcare analytics

Who should attend: This session has been designed for anyone who’s responsible for making visualizations out of heaps of healthcare data.

What to bring: Bring a laptop that has QlikView, Tableau, or Excel installed; it will be required for in-class activities. A personal edition of QlikView or a trial version of Tableau is fine. Further instructions regarding device setup will be distributed prior to class.

Prerequisites: This course assumes a working knowledge of a visualization tool, such as QlikView, Tableau, or Excel.

Notes: Breakfast and lunch are included in the registration fee.

Making Decisions With Data Track

D – MAKING DECISIONS WITH DATA TRACK (1 day)

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

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 and statistical process 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

  • This field is for validation purposes and should be left unchanged.

Machine Learning Track

A – MACHINE LEARNING TRACK (2 day)

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

Tuesday, September 12, 9:00 – 5:00 pm

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 this hands-on, 2-day workshop, you’ll learn how to get started. 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 (Day 1)

  • Install packages in RStudio
  • Tell a data story with a notebook
  • Load data from common sources
  • Profile your data
  • Create visualizations
  • Do statistics
  • Keep building skills after you leave
 

Healthcare Machine learning (Day 2)

  • Pick a ML use case with high ROI
  • Prepare the data
  • Develop a model
  • Deploy into production
  • Visualize the predictions
  • Check in and retraining the model

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.

Finding the Analytic Nuggets: A Better Way to Start

B – FINDING THE ANALYTIC NUGGETS: A BETTER WAY TO START

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

Panning for Gold in the EDW River

You know the pattern—a request comes in; a report goes out. But is there more you can be doing along each step of the way to increase performance, accuracy, and understanding? In this all-day workshop, we’ll follow the path from creating a self-service layer though validating insights gained from analysis of it.

Your instructors will include Health Catalyst Senior Analytic Directors Cy Hendricks and Matt Unwin, who along with other experts, will teach you:

Along the way, we’ll share best practice and stories from the field where small improvements made big differences. Plan on an engaging day filled with opportunities to connect with like-minded peers, work on problems together, and learn from experts. You’ll grow and fine-tune your technical skills and explore how you might apply these skills to improve care, reduce costs, and save lives.

Who should attend: This session has been designed for healthcare data analysts, data architects, and data engineers.

What to bring: Bring a laptop that has Excel and SSMS installed; it will be required for in-class activities. Further instructions regarding device setup will be distributed prior to class.

Prerequisites: This course assumes you have a working knowledge of SQL, SSMS, and Excel.

Notes: Breakfast and lunch are included in the registration fee.

Use DataViz to Tell the Story You Mean to Tell—and Get People to Listen

C – USE DATAVIZ TO TELL THE STORY YOU MEAN TO TELL—AND GET PEOPLE TO LISTEN(2 days)

Tuesday, September 12, 9:00  – 5:00 pm

Become a Visualization Hero by Turning Data into Actionable Stories

You spend your days turning heaps of healthcare data into graphs and dashboards. But do your users really “get” the power of those visualizations? Do they really “get” the story you’re telling them? And does that story stick in ways that compel meaningful improvements for your organization?

In this hands-on, all-day workshop, you’ll take your visualization skills to the next level. You’ll learn how to turn your data into actionable stories from experts like Curtis Harris, Tableau’s 2016 #IronViz champion, and Andrew Frueh, director of user experience at Health Catalyst.

This won’t be a traditional sit-and-take-notes-from-an-instructor type of class, though. You’ll have plenty of time to apply what you learned by using healthcare data in real-life scenarios—all in a group setting where you can ask peers and experts any questions that come up. Through a mix of conversation and directed discovery with a low student to trainer ratio, we’ll cover topics including:

Who should attend: This session has been designed for anyone who’s responsible for making visualizations out of heaps of healthcare data.

What to bring: Bring a laptop that has QlikView, Tableau, or Excel installed; it will be required for in-class activities. A personal edition of QlikView or a trial version of Tableau is fine. Further instructions regarding device setup will be distributed prior to class.

Prerequisites: This course assumes a working knowledge of a visualization tool, such as QlikView, Tableau, or Excel.

Notes: Breakfast and lunch are included in the registration fee.

Making Decisions With Data Track

D – MAKING DECISIONS WITH DATA TRACK (1 day)

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

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.