The Use of Big Data in Pharmaceutical Clinical Development

Avasthi, Aditya and Telladarla, Lakshmi and Rajasagi, Gayatri (2013) The Use of Big Data in Pharmaceutical Clinical Development. [Dissertation (University of Nottingham only)] (Unpublished)

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Abstract

Pharmaceutical industry is working towards developing new tools that

would help increase the efficiency of drug development while reducing the time

and expenditure involved in research & development (R&D) and clinical trials. The

lack of new blockbuster drugs and short patent periods is one of the key reasons

the pharmaceutical industry is trying to reduce costs. Clinical trials absorb the

major chunk of investment in the drug discovery and development process. One

of the reasons most of the pharmaceutical companies are exploring the available

opportunities to use Information Technology services is to improve the efficiency

by gaining faster response while reducing the time and cost involved in clinical

trials.

Perceptive Informatics, a subsidiary of PAREXEL is a leading eClinical

solutions provider that focuses on helping customers to increase the product

development process through innovation. The solutions offered help their

customers to maximize the benefits of clinical trial technologies by providing

flexible software-as-a-service (SaaS) applications. The services offered by

perceptive include Randomization and Trial Supply Management technologies,

Medical Imaging, Clinical Trial Management Systems, Electronic Data Capture

(EDC) etc. The solutions offered by Perceptive Informatics eClinical result in

simplified workflow, improved efficiency, and enhanced productivity.

Pharmaceutical Industry like the most of other industries is driven by

customer choices, thus making it important for companies to understand

customer’s choices and needs. Data analytics plays a key role in analysing and

understanding customer behaviour and preferences. Pharmaceutical industry

relies on past data for forecasting present and future trends about trials, thus it is

important to have Big Data system that can store and analyse huge chunks of

data. By using Big Data analytics solutions and specifically high performance

analytics, companies can analyse huge amounts of data in seconds and minutes

to reveal previously unseen patterns, sentiments and customer intelligence.

Implementation of Cloud Computing can be a game changer move with futuristic

point of view. This will enable availability of reliable data at a high speed on any

device such as smartphones and tablets allows the company to take decisions

faster, thus helping in enhancing the drug development process. The main

objective of this report is to provide an understanding on how Perceptive

Informatics can unlock the economic value of Big Data through the adoption of

Big Data analytics.

The scope of this report is to provide an insight into the key issues faced by

pharmaceutical companies with respect to clinical trials, the role of Big Data

analytics and business intelligence in optimizing costs across other industries and

how Big Data is being utilized in clinical trials. This report also presents the

approaches required to incorporate Big Data Analytics and Predictive Analytics for

eClinical solutions. Further, we have provided Perceptive Informatics with

recommendations on ways to leverage the advantages of Big Data analytics

keeping in view the pros and cons of implementing the same.

Item Type: Dissertation (University of Nottingham only)
Depositing User: EP, Services
Date Deposited: 15 Dec 2021 14:30
Last Modified: 15 Dec 2021 14:30
URI: http://eprints.nottingham.ac.uk/id/eprint/26462

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