February 2024 Medidata Global Education Monthly Course Digest

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:

  • Risk Management
  • Patient Data Surveillance (PDS)
  • Key Risk Indicators (KRIs)
  • Quality Tolerance Limits (QTLs)
  • Centralized Statistical Monitoring (CSM)
  • Configuration and Reporting
  • Insights 
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