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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 or transcripts from the sessions are available upon request. The Q&As from previous sessions can be found on the CCSQ Data Camp Q&A page.
The next CCSQ D&A Data Camp will be held on November 15th and 16th from 1:00 - 5:00pm ET each day. The invite for this event will be sent out shortly.
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. |
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. |
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:
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Introduction to R Coding in Databricks
Presented by: Kyle Webb
Session Summary | Session Recording | Slides & Additional Information |
|---|---|---|
| To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (R Demo Notebook) |
Introduction to Python Coding in Databricks
Presented by: Derek Cruikshank
Session Summary | Session Recording | Slides & Additional Information |
|---|---|---|
| To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (Introduction to Python) |
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 | To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (Python for SAS Programmers) |
Introduction to Machine Learning using Python in Databricks
Presented by: Deshane Joseph
Session Summary | Session Recording | Slides & Additional Information |
|---|---|---|
| To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (datacamp-ml-example) |
Session | Session Summary | Videos | Q&A |
|---|---|---|---|
| CCSQ D&A Roadmap & Vision | Join 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. | Roadmap & Vision Q&A | |
| Introduction to Databricks | This 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. | Introduction to Databricks Q&A | |
| Master Data Management (MDM) Data Overview and Updates | Learn more about the latest MDM data in this session. | 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. | 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. | 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. | ||
| 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. | Workflow Jobs and Git Integration Q&A |
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.
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 Off | Listen 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. | ||
| MDM Data | Learn more about the latest with MDM data in this session. | 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 Notebook Alternative Part Two | Notebook Alternative Session |
| Meet the CMS Data Scientists | In 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. | ||
| CCSQ Data & Analytics - Roadmap & Vision | Listen 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. | Roadmap & Vision | |
| Understanding the CCSQ Data & Analytics Environment | This 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! | Understanding the CCSQ Data & Analytics Environment | |
| CCSQ QuickSight Overview | This 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. | 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. | Using Data to Protect Beneficiaries and Evaluate Public Health Policies | |
| Feedback Analysis System (FAS) Overview | Learn 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! | 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. | Utilizing Qualitative Analysis |