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Author: Carol I. Matthews
Publisher: SAS Institute
Published: 2008
Total Pages: 229
ISBN-13: 1599941287
DOWNLOAD EBOOKThis indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration.
Author: Mindy Allport-Settle
Publisher: PharmaLogika Books
Published: 2021-03-31
Total Pages: 0
ISBN-13: 9781937258252
DOWNLOAD EBOOKAuthor: Institute of Medicine
Publisher: National Academies Press
Published: 2015-04-20
Total Pages: 236
ISBN-13: 0309316324
DOWNLOAD EBOOKData sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
Author: Guy Wingate
Publisher: CRC Press
Published: 2016-04-19
Total Pages: 773
ISBN-13: 1420088955
DOWNLOAD EBOOKThoroughly revised to include the latest industry developments, the Second Edition presents a comprehensive overview of computer validation and verification principles and how to put them into practice. To provide the current best practice and guidance on identifying and implementing improvements for computer systems, the text extensively reviews regulations of pharmaceuticals, healthcare products, blood processing, medical devices, clinical systems, and biotechnology. Ensuring that organizations transition smoothly to the new system, this guide explains how to implement the new GMP paradigm while maintaining continuity with current practices. In addition, all 24 case studies from the previous edition have been revised to reflect the new system.
Author: Pieter Kubben
Publisher: Springer
Published: 2018-12-21
Total Pages: 219
ISBN-13: 3319997130
DOWNLOAD EBOOKThis open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author: Institute of Medicine
Publisher: National Academies Press
Published: 1999-07-27
Total Pages: 88
ISBN-13: 0309172802
DOWNLOAD EBOOKIn an effort to increase knowledge and understanding of the process of assuring data quality and validity in clinical trials, the IOM hosted a workshop to open a dialogue on the process to identify and discuss issues of mutual concern among industry, regulators, payers, and consumers. The presenters and panelists together developed strategies that could be used to address the issues that were identified. This IOM report of the workshop summarizes the present status and highlights possible strategies for making improvements to the education of interested and affected parties as well as facilitating future planning.
Author: International Validation Forum
Publisher: CRC Press
Published: 1995-02-17
Total Pages: 1114
ISBN-13: 9780824794590
DOWNLOAD EBOOK"Offers an overview of validation and the current regulatory climate and provides a compendium of the regulations, guidance documents, issues, compliance tools, terminology, and literature involved in computer systems validation. Thoroughly examines regulations issued by the U.S. Food and Drug Administration, the U.S. Environmental Protection Agency, and the European Union. Furnishes case studies of real-world situations."
Author: Karl-Heinz Schriever
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2014-10-02
Total Pages: 193
ISBN-13: 3110381591
DOWNLOAD EBOOKEstablishing ethical and privacy protection aspects in scientific research, especially in medical research, has a long history. Medical data are usually more sensible than other personal data and require therefore an even higher degree of protection than other personal data. In recent research projects genetic evaluations become more and more important and trigger thereby new and continuing activities in the context of data protection. Genetic data as a subset of medical data are the most sensible category of personal data and require therefore the highest degree of data protection. The book provides a systematic and itemized approach to data protection in clinical research including the handling of genetic material, genetic samples as well as derived genetic data and the subsequent secure storage of them. The set up of different kinds of clinical trials having in addition a genetic part, the concept of a genetic informed consent as well as collection schemes of samples are described in detail. Technical requirements and aspects of data protection including pseudonymization and anonymization procedures taking into account ethics committees requirements as well as the underlying legal framework are also presented. Without any exception, all principles and methods presented are best practices, repeatedly applied in different clinical environments and by no means theoretical considerations.
Author: International Validation Forum
Publisher: CRC Press
Published: 1996-04-10
Total Pages: 860
ISBN-13: 9780824797461
DOWNLOAD EBOOKThis biannual offers detailed coverage of the regulations, requirements, and techniques for the validation of processes and systems used in regulated international industries. It addresses significant requirements for pharmaceutical, medical device, and biologic companies as well as environmental laboratories. It examines Good Manufacturing Principles (GMPs), Good Clinical Practices (GCPs), Good Laboratory Practices (GLPs), Good Automated Library Practices (GALPs), and others, and elucidates up-to-the-minute industry changes and international concerns.
Author: Janet Gough
Publisher: John Wiley & Sons
Published: 2010-03-16
Total Pages: 486
ISBN-13: 0470597496
DOWNLOAD EBOOKThe accessible, easy-to-follow guide that demystifies documentation management When it comes to receiving documentation to confirm good science, U.S. and international regulators place high demands on the healthcare industry. As a result, companies developing and manufacturing therapeutic products must implement a strategy that allows them to properly manage their records and documents, since they must comply with rigorous standards and be available for regulatory review or inspection at a moment’s notice. Written in a user-friendly Q&A style for quick reference, Managing the Documentation Maze provides answers to 750 questions the authors encounter frequently in their roles as consultants and trainers. In simple terms, this handy guide breaks down the key components that facilitate successful document management, and shows why it needs to be a core discipline in the industry with information on: Compliance with regulations in pharmaceutical, biological, and device record keeping Electronic systems, hybrid systems, and the entire scope of documentation that companies must manage How to write and edit documents that meet regulatory compliance Making the transition to an electronic system, including how to validate and document the process Anyone responsible for managing documents in the health field will find this book to be a trusted partner in unraveling the bureaucratic web of confusion, while it initiates a plan on how to put an effective, lasting system in place—one that will stand up to any type of scrutiny.
