Newsletter October 2019

Role of bigdata in clinical data management

In the past, clinical trials have used only structured, clinically-sourced data, which was relatively easy to organize and mine. But, today to analyze large amount of data quickly, things have changed. By 2020 the total amount of data stored is supposed to be 50 times larger than today.

Obstacles in clinical data management

  • Data Completeness
  • Quality
  • Cleaning
  • Inconsistent Data
  • Data Governance

Implications of Bigdata in Developing Health Care

How does big data work for clinical trials?

Today, the cloud allows us to include terabytes of unstructured data from many different, real-world data sources. With the ability to scale technology to collect this unstructured, real-world data from myriad systems, organize it into comparable formats, analyze it, and visualize the results.

How can unstructured data be organized and included?

The key may be a federated approach to store data from various domains in multiple repositories. In addition to having the ability to trace trial data from beginning to end and speed the review/query resolution, they will also offer ease of access to data management and integrated downstream analysis across all data types. Finally, we will offer advanced analytics and patient data visualizations for better, faster, actionable insights.

Bigdata transformation can't happen until everyone in your organization can find, trust, secure, and use critical data. To bring users, processes, and policies together enterprise-wide, you need a holistic, end-to-end data governance solution.

  • Inducing a data proactive and data driven culture
  • Increasing collaboration and integration within the company
  • Using predictive analytics and Artificial Intelligence to receive optima real-time/near-time recommendations
  • Employing strong data governance measures with effective processes to protect data

How it works and key technologies

Here, several types of technology work together to help you get the most value from your information. Here are the biggest players: Machine Learning, Data Mining, Data Mining, Predictive Analytics, Text Mining (uses ML or NLP- Natural Language Processing).

As a trusted Clinical Data Management services provider, we want to make sure you know how AI & Bigdata work for “Clinical Data Management”.


What about trying Pharma Jungle ?

I am sure many of you already experienced the following situation: you start your day, convinced it will be a nice day, but then suddenly a few urgent requests fall on your desk. You could handle all these, however unfortunately for you the application you need to use is not working and you must first spend lots of time with the helpdesk, but then you get a reminder that today is the last day for you to complete your GCP training, and then of course you need to attend a few meetings, and your phone does not stop ringing...

Yes of course we all know that there a good reasons for all that... But there are really moments you wonder why always me ???

In order to help you to laugh about such situations, we have developped our game Pharma Jungle : your character is jumping down through the jungle and must avoid all obstables (Clouds, trees, birds, FDA inspections !...) However you can collect drugs on your way (some provide you extra lives, others allow you to increase your speed).

Click here to play!

Save the dates

Conférence Annuelle 2018 Data Management Biomédical

Tuesday, November 19 2019 from 9am to 6pm - Cité Universitaire Internationale de Paris

Topics that will be covered:

Using clinical data - Archiving data - Inspection readiness - CSV and Data Integrity - EHR & Blockchain

Deadline for registering: November 11 Click here for more details

Society for Clinical Data Management - Webinar

Understanding the Regulatory Direction and How To Meet It – The Path through RBM to Quality by Design

on November 12, 2019

Click here to learn more about the webinar and register


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