Clinical Research Computing: A Practitioner’s Handbook
“Clinical Research Computing: A Practitioner’s Handbook” by Prakash Nadkarni, published by Elsevier S & T in 2016, is a comprehensive resource that addresses the essential aspects of informatics and computing support in clinical research. This edition, consisting of 240 pages, explores both the technological and organizational challenges practitioners may encounter, providing insights into the application of computational methods within the field. The book emphasizes the importance of understanding technical details to leverage modern digital computing effectively.
Readers will find a range of case studies based on real-life experiences, which aim to prepare them for the complexities of supporting clinical research and electronic record systems. The content is organized to gradually increase in complexity, featuring technical details such as schema diagrams and code snippets that illustrate specific techniques. This structured approach allows readers to gain confidence in applying the methods discussed, making it a valuable addition for those involved in allied health and medical education, biostatistics, and biological sciences.
Official synopsis Publisher
Clinical Research Computing: A Practitioner’s Handbook deals with the nuts-and-bolts of providing informatics and computing support for clinical research. The subjects that the practitioner must be aware of are not only technological and scientific, but also organizational and managerial. Therefore, the author offers case studies based on real life experiences in order to prepare the readers for the challenges they may face during their experiences either supporting clinical research or supporting electronic record systems. Clinical research computing is the application of computational methods to the broad field of clinical research. With the advent of modern digital computing, and the powerful data collection, storage, and analysis that is possible with it, it becomes more relevant to understand the technical details in order to fully seize its opportunities.
- Offers case studies, based on real-life examples where possible, to engage the readers with more complex examples
- Provides studies backed by technical details, e.g., schema diagrams, code snippets or algorithms illustrating particular techniques, to give the readers confidence to employ the techniques described in their own settings
- Offers didactic content organization and an increasing complexity through the chapters
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