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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. 

Info

The previous CCSQ D&A Data Camp was held on Tuesday, May 23rd and Wednesday, May 24th. The recordings and Q&As will be available shortly. 



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titleCCSQ Data Camp


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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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urlhttps://www.youtube.com/watch?v=pGTZTFgSifk
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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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urlhttps://www.youtube.com/watch?v=F6flgScsc48
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Coming Soon
Master Data Management (MDM) Data Overview and UpdatesLearn more about the latest MDM data in this session. 

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urlhttps://www.youtube.com/watch?v=gL-GFnPaHNg
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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
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 will be made available soon.


Agenda for Day One:

Session

Session Summary

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

Agenda for Day Two:

SessionSession Summary
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! 
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. 

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.

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! 

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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