GHIMA Healthcare Data Analytics Workshop
December 4, 2018
Registration 8:00 AM – 8:30 AM ET
Workshop 8:30 AM – 4:00 PM ET
CEUs: 7 – Domain: Informatics, Analytics, and Data Use
This workshop will offer a hands-on experience analyzing healthcare data. Attendees will learn how to execute queries to extract healthcare data from a relational database. Additionally, the data that is extracted will be used for exploratory data analysis and data mining. Attendees can expect to gain experience in data extraction, preparation, exploration, and modeling. Specifically, machine learning algorithms will be introduced and explored for developing predictive and descriptive data models. Open source and free tools will be utilized for data analysis. Attendees will be introduced to MySQL Workbench to query a relational database using synthetic patient data. The R statistical software package will be used for data preparation, exploration, and modeling. Both of these tools utilize a scripting language to obtain, analyze, and visualize data. Ultimately, attendees will learn how to leverage cost-effective tools for querying, preparing, and modeling 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.
Each attendee will need to bring their own laptop for this workshop. If you cannot bring a laptop you may register but you will learn and retain much more if you use your laptop to complete assignments throughout the day.
We encourage you to have MS Excel (preferably 2013 and above). The auditorium has limited outlets and we encourage you to fully charge laptop batteries.
Participants will be required to download and install R and Tableau prior to the workshop. Instructions for download will be emailed one week prior to the workshop.
Morning coffee and lunch will be provided and there is additional vending onsite for breaks.
David Marc, PhD, CHDA
David Marc, PhD, CHDA is an assistant professor, the health informatics and information management department chair, and the health informatics graduate program director at the College of St. Scholastica in Duluth, MN. Dr. Marc has a master’s degree in biological sciences and a PhD in health informatics from the University of Minnesota and is a certified health data analyst (CHDA). He served as the former chair of the AHIMA foundation research network and currently serves as an elected member of the AHIMA Council for Excellence in Education (CEE) where he co-chairs the Educational Programming Workgroup. Dr. Marc also serves on the HIMSS Scholars Workgroup and the HIMSS Student and Early Careerists Committee. Dr. Marc is a frequent speaker at state and national meetings and workshops where he speaks on topics related to healthcare data analytics. He is an accomplished researcher and author on topics related to health informatics and information management workforce trends.
Ryan Sanderfer, PhD
Ryan Sandefer, PhD is the Assistant Vice President for Academic Affairs at the College of St. Scholastica. His he will coordinate and integrate planning efforts around new and expanding non-traditional programs. Through the use of data analytics and metrics, Dr. Sandefer deepens the college’s culture of evidence and the use of data in strategic decision making. He ensures the alignment of initiatives with the College’s mission and values, especially the challenge of creating community among online and extended site learners. Dr. Sandefer is also an associate professor and former chair of the Department of Health informatics and Information Management at the College of St. Scholastica. Currently, Dr. Sandefer teaches courses in consumer informatics, data analytics, and research design. Dr. Sandefer has a master’s degree in political science from the University of Wyoming and completed his PhD in health informatics from the University of Minnesota. Currently, Dr. Sandefer serves as the past-chair of the AHIMA Council for Excellence in Education, a current presenter for the AHIMA faculty development regional meetings, and an instructor for the CHDA exam prep workshops. Dr. Sandefer has extensive experience working with large healthcare datasets and analytic procedures. Recently, Dr. Sandefer co-edited the textbook Data Analytics in Healthcare Research: Tools and Strategies through AHIMA press, which offers a unique opportunity to experience big data from a hands-on perspective using open source tools and data.
Gwinnett Technical College
Alpharetta-North Fulton Campus – Lecture Hall
2875 Old Milton Parkway
Alpharetta, GA, 30009
Parking – Free
Full refund if cancelled prior to 30 days.
No refunds for cancellations after 30 days without Board approval.
Click here if you need to cancel your registration or provide a substitute.
Registrations are limited to 75.
Online registration will close at 11:59 PM ET November 29, 2018.
When you register online, you will have the option to pay by mail with a check or pay online with a credit card (AMEX, MasterCard, Visa, or Discover).
If you are paying by check, select “mail a check” under payment options. You will later see instructions to print the confirmation page and mail your payment to KnowledgeConnex. The mailing address will be on the invoice. Make your check payable to KnowledgeConnex and include the confirmation/order number with the check. Checks that do not reference the confirmation number will be returned to you and will not be applied to the registration.