Register to attend the two-day Training Course on Real-World Data at the University of Maryland School of Pharmacy.

Important Event Details
Date: September 27-28, 2018
Time: 8 a.m. - 4 p.m.
Registration: Online Registration Available Here
Location: University of Maryland School of Pharmacy
20 N. Pine Street
Baltimore, MD 21201

Thursday, Sept. 27: Pharmacy Hall, Room N310
Friday, Sept. 28: Pharmacy Hall, Room N106
Instructors: Eberechukwu Onukwugha, MS, PhD
Associate Professor of Pharmaceutical Health Services Research
University of Maryland School of Pharmacy

Staff Instructors
Pharmaceutical Research Computing
Department of Pharmaceutical Health Services Research
University of Maryland School of Pharmacy

Training Course Objectives:

This two-day course on real‐world data is designed for individuals who desire an introduction to observational, real-world datasets. The course will provide an overview of existing datasets, such as patient registries, hospital-based datasets, insurer-based datasets, and other administrative datasets. Focusing on administrative medical and pharmacy claims data, participants will learn about the uses of claims data, including data linkages, data structure, data elements, billing codes (e.g., for surgical procedures), cleaning rules, introductory statistical analysis and data visualization methods, and the interpretation of results.

Training Course Outcomes/Deliverables:

The course will provide a current overview of sources of real-world data and best practices for utilizing administrative claims data to generate real-world evidence. The course instructors will identify the advantages and weaknesses of various data sources for burden of illness (clinical and economic burden), comparative effectiveness, and outcomes research studies.

At the end of the course, participants will be able to:

  1. List examples of real-world datasets
  2. Describe the structure and data elements of administrative claims data
  3. Identify coding systems (e.g., ICD-9, ICD-10, CPT-4, HCPCS, BETOS)
  4. Enumerate the strengths and weaknesses of administrative claims data for generating evidence on burden of illness and comparative effectiveness.

For More Information:

More information about this course, including registration, an agenda, and directions and accommodations, can be found on this website.

If you have any additional questions, please contact Dr. Jacquelyn McRae at (410) 706-1418 or jacquelyn.mcrae@umaryland.edu.