Clinical Data Science - An art of applying data science to clinical data management.
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Clinical Data Science - An art of applying data science to clinical data management.

Clinical Data Science -

Clinical data science I believe is in fact an art of applying Data Science to clinical trial data.

With this belief in mind, it then becomes imperative to know the concepts of data science.

It is a vast area of studies and research. It can be overwhelming to know all the concepts and then intuitively apply those concepts to the clinical trials process and data.

I discovered that knowing the "Why" of clinical data science is important. The clinical trials process and data is becoming more and more complex in terms of

1)???the sources of data, the volume of data, the variety etc.,

2)???the risk management,

3)???quality management,

4)???project management etc.?

Clinical data science is an enabler to work with this complexity smartly and simplify these tasks.

Simplifying complexity due to sources of data, volume and variety of data -

When it comes to data reviews on complex data, Clinical data science allows a clinical data manager to swiftly determine the errors in huge data, therefore ascertain the quality of data. Hey, but how different is it from what clinical data mangers do today??

Well, difference is how we perform these activities. Let us look at this comparison below to easily understand this difference

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Traditional v/s Data science approach to clinical data management

There are possibilities of improving site experience as well. How about moving from Electronic CRF completion guidelines (e-CCG) to Chat- CCG; 24/7 & 365 days a year virtual assistant for clinical trial teams?

I have just scratched the surface. There is tremendous potential of how the art of applying data science will change the mind set towards use of AIML in clinical trial operations.

Come become a clinical data science artist, here is a challenge for you. Think of how the affinity analysis concept can be applied to the clinical data management area?

Type in the comments...

Dnyandev Chorge

Immediate Joiner | Clinical Data Management | B. Pharmacy | Clinical Research | Alembic | Ex- IKS Health

1 年

Informative! Thank you for sharing Sir ????

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Pavan Jayavaram

Project Data Manager/Mentoring & Building Teams/Subject Matter Expert/ Enhanced Data Management/Risk-Based Monitoring/New Technology/Clinical Data Science and Innovation

1 年

Helpful! Targeted Data Collection and Review will help in more focused study level trials...

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Dr Karthik Go, PhD, CSM, CSPO

Clinical IT Systems | Data & Analytics | Study Design | eCOA | Product Development | Quality | Data Integrity | ALCOA+| Validations | Deviations | CAPA | Root Cause Investigations | Audits | Inspections | Regulations

2 年

Virtual assistant for all EDC users sounds cool and bet someone is already building this soon it will be made available.

Mithun Chouhan

Servant leader leading clinical trial programs for unmet needs of patients and helping teams to excel by empowering them with accountability and OpEx mindset

2 年

Very innovative thoughts Abhi...eCCG can be a game changer to get the all data in faster

Priyaanka P Samel

Inquisitive I Great learner I Seasoned Clinical Data Manager I Business Analytics I Project Management I Exploring Clinical Data Science

2 年

Thank you Dr. Abhishek Kadam for sharing this. One part is to learn new skills, understand the scope of new skills and second part is apply these skills in our domain. However, to move from one part to another, there is a blockage of 'HOW'?. And I totally agree with you, data science is an art, it is much more than just coding, programming, much more than just keep applying python just because now you have learned it very well. I believe with data science skills, data managers would feel empowered if they learn this art. I am so glad that I got an opportunity to discuss and get insights about art of applying data science from you. Looking forward for such value adding information.

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