Electronic Medical Records Boot Camp
Electronic Medical Records Boot Camp: Biostatistical methods for analyzing EMR data
The Electronic Medical Records Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of electronic health data opportunities, statistical challenges, and latest techniques.
This two-day intensive workshop will go over opportunities and potentials of EMR/EHR for health and medical studies, statistical challenges and pitfalls for analyzing EMR/EHR, and the latest developments of multiple techniques to address those challenges, followed by hands-on computer lab sessions and case studies to put concepts into practice.
By the end of the electronic medical records training, participants will be familiar with the following topics:
- Power and potentials of EMR/EHR data
- Open-access datasets across the world
- Preparation, transformation and integration of EMR/EHR
- Confounding, bias and missing data in EMR/EHR and statistical methods addressing these challenges
- Statistical methods for comparative effectiveness
- Statistical methods for predictive analysis
Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
PREREQUISITES AND REQUIREMENTS
There are four prerequisites and requirements to attend this training:
- Each participant must have an introductory background in statistics.
- Each participant must be familiar with R.
- Each participant must be bring a laptop with latest versions of R and R-Studio downloaded and installed prior to the first day of the workshop. R and R-Studio are available for free download and installation on Mac, PC, and Linux devices. Personal laptops will be used for multiple boot camp sessions.
- Each participant will be required to apply for access to MIMIC-III data, requiring completion of specific HIPAA training to receive credentials.
ADDITIONAL INFORMATION
Register or view more information.
Email us at Columbia.EMR@gmail.com.
Capacity is limited. Paid registration is required to attend.