Strategic Clinical Development Planning PDF Download

Author: William K. Sietsema
Publisher:
ISBN:
Category : Drug development
Languages : en
Pages : 180

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Book Description

Author: Janice Steiner
Publisher: CRC Press
ISBN: 1000725022
Category : Medical
Languages : en
Pages : 246

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Book Description
Everyone involved in pre-clinical, clinical, formulation, development and regulatory affairs will find Clinical Development a valuable resource. The book provides expert advice on ways to reduce delays and lost market opportunities, minimize development time, better understand the process and regulatory requirements, and plan and analyze clinical development and testing programs. The author combines text, graphs, and charts to show how a company moves a product through the complex process from discovery to market. The result is a complete analysis of the drug development process in easy-to-understand language and easy-to-implement action steps.

Author: Steven E. Linberg
Publisher:
ISBN: 9781882615254
Category : Developmental pharmacology
Languages : en
Pages : 380

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Book Description

Author: Joseph Tal
Publisher: Academic Press
ISBN: 0123869099
Category : Mathematics
Languages : en
Pages : 279

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Book Description
Delineates the statistical building blocks and concepts of clinical trials.

Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309316324
Category : Medical
Languages : en
Pages : 236

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Book Description
Data 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: OECD
Publisher: OECD Publishing
ISBN: 9264805907
Category :
Languages : en
Pages : 447

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Book Description
This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.

Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309163358
Category : Medical
Languages : en
Pages : 151

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Book Description
An ideal health care system relies on efficiently generating timely, accurate evidence to deliver on its promise of diminishing the divide between clinical practice and research. There are growing indications, however, that the current health care system and the clinical research that guides medical decisions in the United States falls far short of this vision. The process of generating medical evidence through clinical trials in the United States is expensive and lengthy, includes a number of regulatory hurdles, and is based on a limited infrastructure. The link between clinical research and medical progress is also frequently misunderstood or unsupported by both patients and providers. The focus of clinical research changes as diseases emerge and new treatments create cures for old conditions. As diseases evolve, the ultimate goal remains to speed new and improved medical treatments to patients throughout the world. To keep pace with rapidly changing health care demands, clinical research resources need to be organized and on hand to address the numerous health care questions that continually emerge. Improving the overall capacity of the clinical research enterprise will depend on ensuring that there is an adequate infrastructure in place to support the investigators who conduct research, the patients with real diseases who volunteer to participate in experimental research, and the institutions that organize and carry out the trials. To address these issues and better understand the current state of clinical research in the United States, the Institute of Medicine's (IOM) Forum on Drug Discovery, Development, and Translation held a 2-day workshop entitled Transforming Clinical Research in the United States. The workshop, summarized in this volume, laid the foundation for a broader initiative of the Forum addressing different aspects of clinical research. Future Forum plans include further examining regulatory, administrative, and structural barriers to the effective conduct of clinical research; developing a vision for a stable, continuously funded clinical research infrastructure in the United States; and considering strategies and collaborative activities to facilitate more robust public engagement in the clinical research enterprise.

Author: Mitchell N. Cayen
Publisher: John Wiley & Sons
ISBN: 1118035208
Category : Medical
Languages : en
Pages : 507

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Book Description
The focus of early drug development has been the submission of an Investigational New Drug application to regulatory agencies. Early Drug Development: Strategies and Routes to First-in-Human Trials guides drug development organizations in preparing and submitting an Investigational New Drug (IND) application. By explaining the nuts and bolts of preclinical development activities and their interplay in effectively identifying successful clinical candidates, the book helps pharmaceutical scientists determine what types of discovery and preclinical research studies are needed in order to support a submission to regulatory agencies.

Author: Jane Baguley
Publisher: CRC Press
ISBN: 1317084586
Category : Social Science
Languages : en
Pages : 193

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Book Description
The challenges facing large pharmaceutical companies are stark: sales are slowing, and research and development costs are rising. There is an overwhelming need to reduce development costs by as much as 30-40%, while at the same time significantly shortening development cycle times. Pharmaceutical spend on outsourcing faces double-digit growth for the next three to five years and yet, if outsourcing is to meet these challenges, new models of collaborative and cooperative working are needed now. Outsourcing Clinical Development offers a guide to these new models and to future clinical outsourcing strategy. There is advice on the basis for an outsourcing strategy and guidance on how to work most productively with CROs (contract research organisations); geographical issues, including working in low-cost environments, are also covered. There is a detailed guide to selecting candidates, and managing the proposal, negotiation and contract process successfully; as well as reviewing outsourcing performance and developing fruitful long-term strategic relationships. The pharmaceutical outsourcing process is as complex and as influential as the clinical trials it supports. Outsourcing Clinical Development, with a powerful mix of perceptive insight from leading lights in the industry, advice on long-term strategic direction and tools for immediate help is a must-have read for pharmaceutical companies and their CRO partners.

Author: Mark Chang
Publisher: CRC Press
ISBN: 1351214535
Category : Mathematics
Languages : en
Pages : 362

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Book Description
"This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.