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Alert
titleCCSQ D&A Portal is LIVE!
typeInfo

CCSQ Data and Analytics training and resources are now available in the CCSQ D&A Portal.  Contents of this Confluence space will be archived in the upcoming weeks. 


CCSQ Data Camp

Purpose: The Center for Clinical Standard and Quality (CCSQ) Data Camps are multi-session, multi-day events focused on educating the CCSQ Data & Analytics user community featuring technical experts and special guests from various lines of businesses (LOBs) and Application Development Organizations (ADOs). All QualityNet Analytics users are welcome to attend and automatically receive the invitation to these calls.

The recordings from previous Data Camps can be found in the section below. Slide decks and transcripts from the sessions will be uploaded after the event concludes. The Q&As from previous sessions can be found on the CCSQ Data Camp Q&A page. For questions or to obtain an invite, email servicecentersos@cms.hhs.gov. 


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titleCCSQ Data Camp


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titleSpring 2024

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titleSession 1

CCSQ D&A Leadership Introduction

May 15th | 1:00-2:00pm ET

Presented by: Kenneth Howard

Testimonials from: Grant Hughes, Jennifer Rockell & Rebecca Rothbard

Section

Session Summary

Session Recording

Slides & Additional Information

Join this session to learn more about CMS's vision for CCSQ Data & Analytics and learn how Databricks is being leveraged to ensure solutions align with end user needs.

Session recordings will be added after the event.

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Presentation Slides

Session 1 Q&A

Presentation Slides

Q&A coming soon!


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titleSession 2

Code Conversion and Best Practices

May 15th | 2:00-3:00pm ET

Presented by: Derek Cruikshank

Section

Session Summary

Session Recording

Slides & Additional Information

During this session, learn more about the transition from SAS programming, exploring the best language choices with use cases and their respective advantages and disadvantages.

Session recordings will be added after the event.

Presentation Slides

Notebook

Q&A coming soon!

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Presentation Slides

Notebook

Session 2 Q&A

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titleSession 3

CCSQ D&A Public Portal Demo

May 15th | 3:00-3:30pm ET

Presented by: Maryam Ibarra

Section

Session Summary

Session Recording

Slides & Additional Information

During this session, learn more about the CCSQ D&A Portal and how its capabilities for training, data management, and collaboration can enhance your analytic work within the environment.

Session recordings will be added after the event.

Presentation Slides

Q&A coming soon!

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Presentation Slides

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titleSession 4
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titleSession 4

Python for SAS Programmers

May 15th | 3:30-4:15pm ET

Presented by: Colton Rathe

Section

Session Summary

Session Recording

Slides & Additional Information

Join this session for a demonstration on how to do common SAS code within Python.

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Session recordings will be added after the event.

Presentation Slides

Notebook

Session 4 Q&A coming soon!

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titleSession 5

R for SAS Programmers

May 15th | 4:15-5:00pm ET

Presented by: Dan Anderson

Section

Session Summary

Session Recording

Slides & Additional Information

Join this session for a demonstration on how to do common SAS code within R.

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Session recordings will be added after the event.

Presentation Slides

Notebook

Session 5 Q&A coming soon!

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titleSession 6

CCSQ QuickSight Data Visualization

May 16th | 1:00-2:00pm ET

Presented by: Sarah Davis

Section

Session Summary

Session Recording

Slides & Additional Information

Join this session to learn more about what CCSQ QuickSight is and how you can leverage it for your analytical work and deliver dashboards and reports to your end users.your end users.

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Session recordings will be added after the event.

Presentation Slides

Session 6 Q&A coming soon!

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titleSession 7

Qualitative Analytics Capabilities Using NLP

May 16th | 2:00-3:00pm ET

Presented by: Nikhil Nirhale 

Section

Session Summary

Session Recording

Slides & Additional Information

Join this session to learn more about CCSQ's work to expand Natural Language Processing abilities within the environment.'s work to expand Natural Language Processing abilities within the environment.

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Session recordings will be added after the event.

Presentation Slides 

Notebook

Session 7 Q&A coming soon!

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titleSession 8

A Day in the Life of a Claim

May 16th | 3:00-4:00pm ET 

Presented by: Gennady Sherman

Section

Session Summary

Session Recording

Slides & Additional Information

An overview of submission, processing, and management of Fee-For-Service (FFS) claims in CMS

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Session recordings will be added after the event.

Presentation Slides

Session 8 Q&A coming soon!

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titleSession 9

CCSQ D&A Roadmap and Vision

May 16th | 4:00-5:00pm ET

Presented by: Ken Howard, Alisha Hutson & Justyna Sardin

Section

Session Summary

Session Recording

Slides & Additional Information

Join this session to learn more about CMS's vision for CCSQ Data & Analytics and how future planned efforts align with CMS business objectives.

Session recordings will be added after the event.

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Presentation Slides

Session 9 Q&A

Presentation Slides

Q&A coming soon!


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titleFall 2023


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titleSession 1

CCSQ D&A Roadmap & Vision

Presented by: Kenneth Howard & Alisha Hutson


Session Summary

Session Recording

Slides & Additional Information

Review this session to learn more about CMS's vision for CCSQ Data & Analytics and how future planned efforts align with CMS business objectives. 

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Session 1 Slide Deck


Session 1 Q&A



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titleSession 2

QuickSight

Presented by: Sarah Davis


Session Summary

Session Recording

Slides & Additional Information

Review this session to learn more about what QuickSight is and how you can leverage it for your analytical work, as well as how you can view, create, and share dashboards. You will also learn how to gain access to the application and receive support.

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Session 2 Slide Deck


Session 2 Q&A



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titleSession 3

Data & Analytics Portal

Presented by: Raphaela Hunter


Session Summary

Session Recording

Slides & Additional Information

This session is a demonstration of capabilities that will be coming soon with the D&A Portal featuring:

  • Landing Page
  • My Access
  • My DUA

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Session 3 Slide Deck


Session 3 Q&A



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titleSession 4

Introduction to R Coding in Databricks

Presented by: Kyle Webb


Session Summary

Session Recording

Slides & Additional Information

  • Brief introduction into the programming languages including data structures and functions
  • Discuss dataframes and accessing data within the environment
  • Walk through data wrangling/manipulation, data cleaning, and data aggregation demos
  • Demo some plotting and visualizations
  • Additional common packages used for data analytics

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Session 4 Slide Deck

Session 4 Q&A

To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (R Demo Notebook)



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titleSession 5

Introduction to Python Coding in Databricks

Presented by: Derek Cruikshank


Session Summary

Session Recording

Slides & Additional Information

  • Brief introduction into the programming languages including data structures and functions
  • Discuss dataframes and accessing data within the environment
  • Walk through data wrangling/manipulation, data cleaning, and data aggregation demos
  • Demo some plotting and visualizations
  • Additional common packages used for data analytics

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urlhttps://www.youtube.com/watch?v=XEi-0lGYj0o
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Session 5 Slide Deck 

Session 5 Q&A

To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (Introduction to Python)



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titleSession 6

Python Coding for SAS Programmers

Presented by: Derek Cruikshank


Session Summary

Session Recording

Slides & Additional Information

Review this session for a demonstration on how to do common SAS code within Python

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urlhttps://www.youtube.com/watch?v=INBkQap8sjw
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Session 6 Slide Deck

Session 6 Q&A

To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (Python for SAS Programmers)



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titleSession 7

Introduction to Machine Learning using Python in Databricks

Presented by: Deshane Joseph


Session Summary

Session Recording

Slides & Additional Information

  • Best practices with analyzing and exploring data
  • Cleaning and prepping the data
  • Building and validating logistic regression model
  • Creating predictions with the model

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Session 7 Slide Deck

Session 7 Q&A

To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (datacamp-ml-example)





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titleSpring 2023

Session

Session Summary

Videos

Q&A

CCSQ D&A Roadmap & VisionJoin this session to learn more about CMS's vision for CCSQ Data & Analytics and how future planned efforts align with CMS business objectives. During this session, you will learn how human-centered design is being leveraged to ensure solutions align with end user needs, as well as how you can get involved in testing for future tools. 

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Roadmap & Vision Q&A
Introduction to DatabricksThis session will explore the various capabilities of Databricks. A demo will be provided to show you how this new tool to the CCSQ D&A environment can help expand your analytic capabilities with its advanced features and catalog of programming languages. 

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Introduction to Databricks Q&A
Master Data Management (MDM) Data Overview and UpdatesLearn more about the latest MDM data in this session. 

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Master Data Management (MDM) Q&A
Understanding the CCSQ D&A Portal During this session, learn more about the CCSQ D&A Portal and how its future capabilities for training, data management, and collaboration can enhance your analytic work within the environment. 

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Portal Q&A
Databricks Deep Dive - Using SQL

Join this session for an overview of building dashboards within Databricks and using the query profiler to benchmark your SQL queries, identify bottlenecks, and optimize them for performance.

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Using SQL Q&A
Databricks Deep Dive - Code Debugging, Performance Troubleshooting, and Exploratory Data Analysis Capabilities 

Learn how Databricks features help you to troubleshoot your Spark notebook failures, and how this application's visualization and summary statistics capabilities can be used to explore your data sets to identify trends, patterns, and gaps.

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Code Debugging & Performance Troubleshooting Q&A

Code Debugging Example Notebook

Databricks Deep Dive - Workflow Jobs and Git Integration

Join this session for an overview of Databricks workflow features and how they can be used to configure pipelines to execute notebooks, SQL queries, and scripts, with dependency management, and scheduling capabilities. This will also include steps to configure git and integrate your Git repositories.

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Workflow Jobs and Git Integration Q&A



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titleFall 2022

This year’s theme was on “Quality Data Analytics Innovation”, as our session speakers will provide guidance and perspective on CCSQ’s future enhancements and vision for both data and analytics tools.

Info

Fall 2022 recordings are currently being edited for 508 compliance and will be made available soon.


Agenda for Day One:

Session

Session Summary

Videos

Q&A

Kick OffListen this session to be introduced to our CCSQ Data Camp theme and sessions. CCSQ Leadership will provide opening thoughts to provide us perspective before our CCSQ Data Camp begins. 

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MDM DataLearn more about the latest with MDM data in this session. 

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urlhttps://www.youtube.com/watch?v=A2-JS3F7h40
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Overview of CMS Master Data Management (MDM) Data
CCSQ Data & Analytics Notebook Alternative In this session, learn more about the new Notebook Alternative tool currently under evaluation and pilot. Watch a demo to see the functionality this tool offers, as well as hear from the pilot testers on their experience with the tool. 

Notebook Alternative  Part One

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Notebook Alternative Part Two

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Notebook Alternative Session
Meet the CMS Data ScientistsIn response to costly issues and limitations with data exposed by the Covid-19 PHE, CCSQ components have been making investments so that data will be trustworthy, timely, relevant, and enables proactive administration of center programs.  The Quality Innovation and Improvement Group took initiative in this vein via strategic planning with contractors, acquiring/deploying software, and, most drastically, by hiring data scientists (a new position) with modern training and expertise.  In this session, you will learn about how data scientists’ roles and responsibilities have been shaped based on needs of their divisional assignments and center-wide duties.

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CCSQ Data & Analytics - Roadmap & VisionListen to this session to learn more about CMS's vision for CCSQ Data & Analytics. In this session, a walkthrough will be provided on the CCSQ Data & Analytics roadmap. 

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Roadmap & Vision
Understanding the CCSQ Data & Analytics EnvironmentThis session provides a current state view into the architecture and offerings of the CCSQ Data & Analytics Environment. New users and organizations are highly encouraged to attend! 

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Understanding the CCSQ Data & Analytics Environment
CCSQ QuickSight OverviewThis session showcases what QuickSight is, how QuickSight has been used to help solve CCSQ business needs, and how to get access to start using QuickSight today. You also will be provided the latest updates on QuickSight enhancements that have been implemented in the past year. 

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QuickSight Overview

Using Data to Protect Beneficiaries and Evaluate Public Health Policies

Each year, CMS collects and maintains vast quantities of data from dozens of health programs and millions of beneficiaries. In this session, speakers will share how they used CMS databases to identify ways to improve patient safety and analyze the impact of public health policies on nursing home residents.

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Using Data to Protect Beneficiaries and Evaluate Public Health Policies
Feedback Analysis System (FAS) OverviewLearn more about the Feedback Analysis System (FAS), and how this system accelerates the analysis of CMS stakeholder feedback through artificial intelligence (AI). The FAS system utilizes machine learning modeling (ML) and natural language processing (NLP) to categorize stakeholder feedback. Join this session to learn more! 

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Feedback Analysis System Overview

Utilizing Qualitative Analysis

During this session, you will learn how qualitative analysis is being leveraged to transform multiple reports into a more readable and consumable format. 

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Utilizing Qualitative Analysis







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