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 12:00- 1:00pm EDT  |  Special Q&A with CMS Leadership

Panelists: Ken Howard, Brent Weaver, Mark Plaugher, Ginny Valles-McCullough, Indre Goble, etc. 

Presentation: Do you have some questions for ISG leadership? Come to this forum to submit questions in to be answered during this session. 

Invitation: 

 1:00 - 1:55pm EDT  |  SAS Troubleshooting Tips & Tricks

Presenter: Pete Grivas

Presentation: Learn how to troubleshoot common issues in SAS Viya. SAS logging options and importing data will be covered as well as how to break your code into manageable components for testing.

Invitation: 

1:55 - 2:00pm EDT  |  BREAK

2:00 - 2:55pm EDT   |  SQL Optimization Techniques

Presenters: Curtis Smith and Manpreet Khural

Presentation: During this presentation, we’ll cover user-submitted code before and after, and the approach we took to improving the performance of the code with the focus on sharing how other users of CDR can do the same.

Invitation: 

2:55 - 3:00pm EDT  |  BREAK

 3:00 - 3:55pm EDT  |  Hive & CAS Working Together

Presenters: Pete Grivas

Presentation: CAS provides an in-memory solution to running SAS Programs while Hive provides a distributed approach to accessing large quantities of data. This presentation will cover the best way to integrate Hive and CAS using each in a way that plays to the strengths of each.

Invitation: 

3:55 - 4:00pm EDT  |  BREAK

4:00 - 4:55pm EDT |  The Future of CAP

Presenters: Pete Grivas

Presentation: The CAP architecture is designed to abstract compute services from data. This extensible architecture allows multiple tools to access the data and allows a user to use the tools they are most comfortable with to perform their analyses. We’ll cover the future of CAP with a focus on future data science tools.

Invitation: 

4:55pm EDT  |  End of CCSQ Data & Camp

 8:30- 9:00  |  Welcome from CMS Leadership

 9:00 - 9:45  |  A Gold Mining Adventure – Using Natural Language Processing and Machine Learning to find Gold in Unstructured Data  

Presenter: Chris Schilstra  

Presentation: Join us to "dig for gold" in sizeable textual data sets to uncover stakeholder themes and sentiment, with industry-standard accuracy rates. We will compare two thematic/sentiment model visualizations with a presentation and demo and explore the importance of incorporating Human-Centered Design (HCD) with Artificial Intelligence (AI). 

Areas of interest: Data, Design, Policy, Technology

9:45 - 10:00  |  BREAK

 10:00 - 10:45: Catch Me if You Can – How to Fight Fraud, Waste and Abuse using Machine Learning AND Machine TEACHING (by human) 

Presenter: Cupid Chan 

Plenary Session: Machine Learning (ML) is often the focus of an Artificial Intelligence (AI) discussion, but Machine TEACHING is just as important. This session will intersect a technical conversation with a real business context: Fraud, Waste, and Abuse. 

Areas of interest: this is the morning plenary session, and we encourage everyone to attend.

10:45 - 11:00  |  BREAK

 11:00 - 11:30  |  How Humans Make AI Work  

Presenters: Ian Lowrie and Stephanie Warren 

Presentation: “Artificially intelligent” systems rely on complex combinations of humans and machines to produce the desired user experiences, posing challenges for service design and ultimately affecting overall user trust and user experience. This session will explore systems like chatbots and provide practical guidance for UX professionals working with or curious about Artificial Intelligence (AI). 

Areas of interest: Data, Design, Product, Technology

11:30 - 12:00  |  BREAK

 12:00 - 1:15 |  Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals 

Presenters: Keith McFarland (moderator) and panelists: Combiz Abdolrahimi, Steve Geller, Harlan Krumholz, MD, Darryl Marshall and Bin Shao, Ph.D.  

Panel Discussion: Machine Learning (ML) can support patient care improvement while managing costs, but there are risks involved. Join us for a panel discussion on how a ML approach can be implemented without compromising reliability, trustworthiness, and safety. The panel of professionals will share their knowledge in areas including Human-Centered Design (HCD), Health Privacy, Data, and more. 

Areas of interest: this is a panel discussion, and we encourage everyone to attend  

1:15 - 2:00  |  BREAK

 2:00 - 2:45  |  Federated Learning to Collect Mobile Patient-Reported Outcomes 

Presenters: Dr. Rachele Hendricks-Sturrup and Dr. Sara Jordan  

Plenary Session: Health data requires unique privacy and governance protections, and patient-reported outcomes measures (PROs/PROMs) data is no exception.  We will discuss what it takes to ensure patient privacy in federated learning architectures. 

Areas of interest:  this is our afternoon plenary session, everyone is encouraged to attend

2:45 - 3:00  |  BREAK

 3:00- 3:45  |  Using Human-Centered Machine-Learning (HCML) to Improve Data Quality & Data Governance Projects 

Presenter: Edward F. O'Connor 

Presentation: Are you interested in understanding the components of a real-world and complex Machine Learning (ML) project? Join us as we walk through the implementation process of combining Human-Centered Design (HCD) techniques into a ML project.  

Areas of interest: Data, Design, Product, Strategy, Technology