Medidata Global Education announces the following New and Updated Materials for February 2024.
If you have any questions about a course's content, please feel free to reach out to us at medidata.globaleducation@3ds.com
eLearnings
New courses are now available via iMedidata. Please contact your Medidata representative for enrollment.
Product | Course Name | What | Links |
Rave Companion | Course:
Previous Name: Getting Started with Rave Companion New Name: Rave Companion: Working With Rave Forms Overview: This course is intended for Rave EDC site users who are using Rave Companion to transcribe patient data from an electronic health or medical record (also known as EHR or EMR) into a Rave study form with greater efficiency and accuracy. This course will demonstrate the steps to install Rave Companion, and show examples of how to capture EHR/EMR data Please note: This course does not cover Medidata Health Record Connect functionality. For users who are using Rave Companion and Medidata Health Record Connect, please refer to the course “Rave Companion: Working with Rave Forms and Medidata Health Record Connect” |
Update | Medidata.com |
Rave Companion | Course:
Rave Companion: Working with Rave Forms and Medidata Health Record Connect Overview: This course is intended for Rave EDC site users who are using Rave Companion with Medidata Health Record Connect in order to transcribe patient data from an electronic health or medical record (also known as EHR or EMR) into a Rave study form with greater efficiency and accuracy. This course will demonstrate the steps to install Rave Companion, and show examples of how to capture EHR/EMR data from the Health Record Connect feature Please note: For users who are ONLY using Rave Companion but not Medidata Health Record Connect, please refer to the course “Rave Companion: Working with Rave Forms” |
New | Medidata.com |
Medidata Detect | Course:
Getting Started with Medidata Detect Overview: Medidata Detect provides end-to-end data and risk surveillance, providing the ability to monitor and mitigate risks to patient safety and data integrity. “Getting Started with Medidata Detect” covers the purpose and value of each of the Medidata Detect modules:
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Updated | Medidata.com |
Medidata Detect | Course:
Medidata Detect: Configuring Settings Overview: Request to retire Medidata Detect: Configuring Settings eLearning. The course is retired as of Feb 4, 2024 |
Retired | N/A |
Show Me Videos:
Product | Course Name | What | Links |
Medidata Detect | Course:
How to Submit Rave Queries in Data Listings Overview: The video has been updated to show how to submit bulk rave queries in Data Listings |
Updated | Knowledge Hub |
Rave Companion | Course:
Installing Rave Companion Overview: This video has been updated to include the latest steps to install Rave Companion |
Updated | Knowledge Hub |
Rave Companion | Course:
Collecting Rave Form using Rave Companion Overview: This video has been updated to include the latest Rave Companion UI and current data capture functionality |
Updated | Knowledge Hub |
Rave Companion | Course:
Link Patient from Electronic Health Record To Rave Companion (First Time) Overview: This video will show you how to link a new patient for the first time to Rave Companion that is utilizing Medidata Health Record Connect |
New | Knowledge Hub |
Rave Companion | Course:
Show and Filter Electronic Health Record Data In Rave Companion Overview: This video will demonstrate how to pull relevant data from the Electronic Health Record into the EDC Field via the Show EHR Data icon |
New | Knowledge Hub |
Medidata Detect | Course:
How to Create Data Listings Overview: The video covers how to create data listings in Data Reviewer |
Updated | Knowledge Hub |
ILT Courses:
Product | Course Name | What | Links |
Medidata Detect | Course:
Medidata Detect Analyst ILT Overview: Medidata Detect is a data analysis and visualization solution that applies advanced statistical analytics on clinical study data to detect risks, anomalies, and trends. You can use Medidata Detect to view and analyze data and identify study areas needing the most focus or improvement—including at the study, country, site, or patient level. The findings will help you determine any necessary mitigating actions to take on study issues or risks to ensure study data quality and compliance This course provides users with detailed workflow examples of how to utilize Detect to deeply analyze their clinical trial data to identify potential outliers and risks |
Updated | Medidata.com |