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Software Innovations in Clinical Drug Development and Safety

Software Innovations in Clinical Drug Development and Safety
Author(s)/Editor(s): Partha Chakraborty (Cognizant Technology Solutions, India)and Amit Nagal (GVK Bioscience, India)
Copyright: ©2016
DOI: 10.4018/978-1-4666-8726-4
ISBN13: 9781466687264
ISBN10: 1466687266
EISBN13: 9781466687271

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View Software Innovations in Clinical Drug Development and Safety on the publisher's website for pricing and purchasing information.


Description

In light of the rising cost of healthcare and the overall challenges associated with delivering quality care to patients across regions, scientists and pharmacists are exploring new initiatives in drug discovery and design. One such initiative is the adoption of information technology and software applications to improve healthcare and pharmaceutical processes.

Software Innovations in Clinical Drug Development and Safety is a comprehensive resource analyzing the integration of software engineering for the purpose of drug discovery, clinical trials, genomics, and drug safety testing. Taking a multi-faceted approach to the application of computational methods to pharmaceutical science, this publication is ideal for healthcare professionals, pharmacists, computer scientists, researchers, and students seeking the latest information on the architecture and design of software in clinical settings, the impact of clinical technologies on business models, and the safety and privacy of patients and patient data.

This timely resource features a well-rounded discussion on topics pertaining to the integration of computational methods in pharmaceutical science and practice including, the impact of software integration on business models, patient safety concerns, software architecture and design, and data security.



Reviews and Testimonials

Contributed by information technology, informatics, and other specialists from India, Saudi Arabia, the UK, and the US, the 13 articles in this volume discuss the integration of software innovations in drug discovery, clinical trials, genomics, and drug safety testing. They address the business processes of clinical trials and drug safety, and areas of improvement through software innovation, including the application of computer systems, data warehouse and data virtualization techniques, metadata repository and master data management, and more.

– ProtoView Book Abstracts (formerly Book News, Inc.)

This title is one in a series on innovations that enable faster and safer patient care. Not only relevant to pharmacy informatics, this book covers topics that will assist those in nursing informatics, clinical technology, biomedicine, and other innovative healthcare technologies. It goes beyond just a definition for various technologies, providing detailed information to support informatics professionals. This is a useful book for an informatics educational program that is also relevant to informatics in practice.

– Barbara L Giacomelli, PharmD., MBA, Doody's Review Service

Author's/Editor's Biography

Partha Chakraborty (Ed.)
Partha Chakraborty is the Sr, Director & Head of Global Delivery R&D Practice in Cognizant Life Sciences (www.cognizant.com). He is a BTech from Indian Institute of Technology (IIT), Kharagpur. He has worked with large healthcare providers and multiple large global pharmaceuticals globally and led IT transformation in Clinical & Safety as well as the implementation of critical engagements. He has presented his point of view in FDA Science Congress, CDISC Interchange, International Society of Pharmacovigilance (ISOP) and DIA. He is instrumental in creating the 1st certificate course, in Pharmacovigilance in India, launched by Symogen, UK. He has written a chapter, called Role of Information Technology on Drug Safety in a recently published book Elements of Pharmacovigilance; Statistical Methods Applied in Drug Safety in a recently published book Handbook of Research on Pharmacoinformatics.

Amit Nagal (Ed.)
Amit Nagal is a bioinformatics scientist who has worked with large scale data management and analysis on HPC clusters. He is involved in developing tools/databases and giving bioinformatics approaches to drive experimental discoveries.

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