Healthcare Data Analytics Webinar Series

Monday, January 7, 2019
9-11 AM ET

Wednesday, January 9, 2019
9-11 AM ET

Thursday, January 10, 2019
2-4 PM ET

Friday, January 11, 2019
2-4 PM ET

This workshop will offer a hands-on experience analyzing healthcare data. Attendees will use MS Excel, the R statistical software package, and Tableau to prepare, describe, and visualize large healthcare datasets. Data will be analyzed in MS Excel using intermediate and advanced functionalities that will help improve the efficiency and accuracy of an analysis. The R statistical software package is an open source platform that utilizes a scripting language to analyze and visualize data. Tableau is data visualization software and attendees will learn how to create interactive summaries and dashboards. Ultimately, attendees will learn how to leverage cost-effective tools for preparing and visualizing data. At the conclusion of the workshop attendees will have greater confidence analyzing healthcare data with cost-effective tools to transition data into information for key stakeholders.

Speakers:

David Marc, PhD, CHD
Ryan Sandefer, PhD

 

Data Analytics Webinar Series

A three-part webinar series will offer members an opportunity to learn how to analyze healthcare data using MS Excel, RStudio, anopen-source data analytics software platform and Tableau for data visualization. The webinar will include tutorials on how to carry out basic and advanced analytical techniques including data acquisition, data summaries, data preparation, and data visualization. Each webinar is live and will run 1-hr in length and will be recorded for playback up to 60 days after the live event.

Offer webinar participants hands-on experience analyzing healthcare data with readily available software.

Part 1: Data Analytics with MS Excel- Intermediate/Advanced
August 8, 2018 at 12 PM ET

Objectives:

  • Create meaningful data summaries using pivot tables and pivot charts
  • Utilize intermediate and advanced Excel functions
  • Develop visual displays to assist in the interpretation of data
  • Part 2: Data Analytics with R and RStudio

Part 2: Data Analytics with R and RStudio
August 15, 2018 at 12 PM ET

Objectives:

  • Understand the utility of applications for big data analytics
  • Utilize basic R functions for data summaries
  • Develop graphs for interpreting data
  • Part 3: Data Visualization with Tableau

Part 3: Data Visualization with Tableau
August 22, 2018 at 12 PM ET

Objectives:

  • Upload data and perform data preparation
  • Develop graphs including geospatial representations
  • Create interactive dashboards.

Speaker: David Marc

Coastal Region Virtual Education

December 7, 2017
12:00 PM – 2:00 PM ET

12:00 – 1:00 PM – Internal and External Auditing – Assessing and Identifying Educational Opportunities

CEU: 1.0 – Clinical Data Management

Presenters: Marcy Blitch, RHIA, CCS, CIC and Christine Lewis, MHA, RHIA, CCS, CCS-P

1:00 – 2:00 PM – The Technology Cannonball in the Information Governance Pool: Technologies You Need to Know About

CEU: 1.0 – Technology

IT Departments are deploying new technologies at a rapid pace. A couple of these are Vendor Neutral Archive and Enterprise Content Management systems. Both of these technologies will affect the HIM IG plans, this presentation will teach the basics of these two platforms.

Presenter: Seth Johnson, MBA, RHIA

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Data Analytics Webinar Series

Summary

A three-part webinar series will offer members an opportunity to learn how to analyze healthcare data using MS Excel and the open-source data analytics software platform, R. The webinar will include tutorials on how to carry out basic and advanced analytical techniques including data acquisition, data summaries, data preparation, and data visualization. Each webinar is live and will run 1-hr in length and will be recorded for playback up to 90 days after the live event.

Purpose

Offer the webinar participants hands-on experience analyzing healthcare data with readily available software.

Outline

Part 1: Exploring Basic R Programming

August 17, 2017 at 12 PM ET
CEU – 1.0 Technology

Objectives:

  • An introduction to the R programming language
  • Creating R objects
  • Preparing imported data for analysis
  • Creating data summaries

Part 2: Exploring Data Visualization in the R Programming Environment

August 24, 2017 at 12 PM ET
CEU – 1.0 Technology

Objectives:

  • Creating common data plots such as histograms, bar plots, line plots, box plots, and dot plots, among others
  • Creating an interactive display
  • Publishing graphs for dashboards

Part 3: Exploring Data Mining Approaches in the R Programming Environment

August 31, 2017 at 12 PM ET
CE – 1.0 Technology

Objectives:

  • Data mining concepts and principles
  • Preparing data for data mining
  • Creating predictive data models
  • Testing and deploying data models

Speaker: David Marc

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THIMA 2017 Annual Meeting Revisited

Emerging Technology for Data Analytics and HIM’s Role

Recorded: March 9, 2017

Betty Dunagan, RHIA
Industry Manager, Health Record Solutions
Lexmark

1 CEU – Technology


Solving the Patient Matching Dilemma: Will the real John Doe please stand up?

Recorded: March 8, 2017

Karen Proffitt MHIIM, RHIA, CHP
VP Identity Enterprise Solutions
Just Associates, Inc.

1 CEU – Performance Improvement


What’s Scrum got to do with IT, got to do with IT

Recorded: March 8, 2017

Seth Johnson, MBA, RHIA
Executive Consultant
Lexmark

1 CEU – Management Development


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