Course: Clinical Data Management (CDM)

Duration: 1 Month


  • Graduate or PGs from a recognized University in Life Science ( Biotech / Zoology / Microbiology / Chemistry)
  • Graduate from a recognized University in Health Sciences (MBBS / BDS / BAMS /BHMS / BUMS )
  • Graduate from a recognized University in Allied Health Sciences (BMLT / BScMLT / BPT / BMIT / BSc MIT /  Pharmacy (BPharma)
  • BE ,M.E in Biotech / BCA / BSc IT ,M.Sc IT / BSc CS, M.Sc CS
  • Post graduate and doctoral students, researchers & corporate working people related to life sciences.

About Course:

Although Clinical data management has been around for a long while, it wasn’t until the last 5 to 10 years that its importance in the health science  business field has been realized. It was in the last 10 years that technology has been revolutionized and we now produce about 2.5 Quintilian bytes of patients data every day. This is more data than that was collected in two years, previously. What has also changed in the last decade is that we now have the means to sift through these 2.5 Quintilian bytes of clinical data in a reasonable amount of time. All these changes have major implications for organisations today.

In organizations, clinical data enables professionals to convert extensive data and statistical and quantitative analysis into powerful insights that can drive efficient decisions.

Therefore with clinical organizations can now base their decisions and strategies on data rather than on gut feelings. Moreover with the rate at which this data can be analyzed, organizations are able to keep tabs on the customer trends in near real time. As a result effectiveness of a strategy can be determined almost immediately. Thus with powerful insights, analytics promises reduced costs and increased profits.

The clinical data management Industry is one of the fastest growing in modern times with it poised to become a $50 billion market by 2019. With this sudden surge in the analytics industry there is a tremendous increase in the demand for analytics expertise across all domains, throughout all major organizations across the globe. It has been predicted that by 2020, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

  • Clinical Data co-ordinator’s access data resources to perform job duties in specific application domains. Bench-based researchers, both in academia and in industry, provide the classic example of a healthcare informatics  user, but this group is broadening in scope. For example, medical professionals (e.g., physicians and genetic counselors) utilize bioinformatics resources in medical contexts for the purposes of diagnosis, treatment, and counseling of patients.
  • Clinical Data Managers- are data managers who employ data models in order to advance the healthcare understanding of patients systems.
  • Data engineers create the novel computational methods needed by bioinformatics users and scientists. Thus, a bioinformatics engineer must have strengths in computational and statistical sciences and must have general competency in biomedical sciences.

Once trained in the field, there are a number of opportunities to build a career. Some examples are listed below:
Individual contributor – Many healthcare labs, both in the academic and commercial sector, are hiring people trained in health informatics to support the healthcare research of the lab. Positions are available for various levels and types of training. People in these positions generally work on a specific area of research.

Core facilities – Many institutions create a central resource for labs in an institution. These resources are call core facilities. Members of such groups often have a mix of skills and work on many different research projects with researchers in many different labs.
Educators – There is a demand for teaching clinical data management at many different levels. Some Ph.D. level health informatician will pursue an academic career, build their own research agenda and teach at the university level. In addition, there are a number of institutions who host a dedicated facility to teach healthcare informatics to people inside the institution as well as to the greater community.

Industries for this skilled Professional

Bio IT company, Biotechnology, Pharmaceutical , Hospitals, Clinical Organization , Diagnostic Laboratories, Health care Industry, Academic and research institutions


  • CDM-Introduction
  • Data Management role in Clinical Research
  • Key members involved in Data Management
  • Responsibilities of CDM
  • Mission of CDM
  • CDM Process over view
  • Study start up Process Review
  • Study conduct Process Review
  • Study close out Process Review
  • Analysis and reporting Process Review
  • CRF Design/Review
  • CRF Tracking and Data Entry
  • Discrepancy Management
  • Medical Coding
  • SAE Reconciliation
  • Quality Control
  • Database Lock
  • Objectives of CDM
  • Data Management Work flow
  • Clinical Data Management System and software

Fees: 6000 INR

Biocuration Group

Call – 8553794025 |



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