The management of clinical data, from its collection during a trial to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval to market a treatment. Groundbreaking on its initial publication nearly fourteen years ago, and evolving with the field in each iteration since then, the third edition of Practical Guide to Clinical Data Management includes important updates to all chapters to reflect the current industry approach to using electronic data capture (EDC) for most studies. See what’s new in the Third Edition: A chapter on the clinical trial process that explains the high level flow of a clinical trial from creation of the protocol through the study lock and provides the context for the clinical data management activities that follow Reorganized content reflects an industry trend that divides training and standard operating procedures for clinical data management into the categories of study startup, study conduct, and study closeout Coverage of current industry and Food and Drug Administration (FDA) approaches and concerns The book provides a comprehensive overview of the tasks involved in clinical data management and the computer systems used to perform those tasks. It also details the context of regulations that guide how those systems are used and how those regulations are applied to their installation and maintenance. Keeping the coverage practical rather than academic, the author hones in on the most critical information that impacts clinical trial conduct, providing a full end-to-end overview or introduction for clinical data managers.

Clinical data management (CDM) has changed from being an essentially clerical task in the late 1970s and early 1980s to a highly computerized, highly specialized field today. And clinical data manages have had to adapt their data management systems and processes accordingly. Practical Guide to Clinical Data Management steers you through a basic understanding of the role of data management in clinical trials and includes more advanced topics such as CDM systems, SOPs, and quality assurance. This book helps you ensure GCP, manage laboratory data, and deal with the kinds of clinical data that can cause difficulties in database applications. With the tools this book provides, you'll learn how to: Ensure that your DMB system is in compliance with federal regulations Build a strategic data management and databsing plan Track and record CRFs Deal with problem data, adverse event data, and legacy data Manage and store lab data Identify and manage discrepancies Ensure quality control over reports Choose a CDM system that is right for your company Create and implement a system validation plan and process Set up and enforce data collection standards Develop test plans and change control systems This book is your guide to finding the most successful and practical options for effective clinical data management.

The management of clinical data, from its collection to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval to market a treatment. As its importance has grown, clinical data management (CDM) has changed from an essentially clerical task in the late 1970s and early 1980s to the highly computerized specialty it is today. Practical Guide to Clinical Data Management, Second Edition provides a solid introduction to the key process elements of clinical data management. Offering specific references to regulations and other FDA documents, it gives guidance on what is required in data handling. Updates to the Second Edition include - A summary of the modifications that data management groups have made under 21 CFR 11, the regulation for electronic records and signatures Practices for both electronic data capture (EDC)-based and paper-based studies A new chapter on Necessary Infrastructure, which addresses the expectations of the FDA and auditors for how data management groups carry out their work in compliance with regulations The edition has been reorganized, covering the basic data management tasks that all data managers must understand. It also focuses on the computer systems, including EDC, that data management groups use and the special procedures that must be in place to support those systems. Every chapter presents a range of successful and, above all, practical options for each element of the process or task. Focusing on responsibilities that data managers have today, this edition provides practitioners with an approach that will help them conduct their work with efficiency and quality.

Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It emphasizes generic methods of medical documentation applicable to such diverse tasks as the electronic patient record, maintaining a clinical trials database, and building a tumor registry. This book is for all students in medical informatics and health information management, and it is ideal for both the undergraduate and the graduate levels. The book also guides professionals in the design and use of clinical information systems in various health care settings. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc. The book combines a consistent theoretical foundation of medical documentation methods outlining their practical applicability in real clinical data management systems. Two new chapters detail hospital information systems and clinical trials. There is a focus on the international classification of diseases (ICD-9 and -10) systems, as well as a discussion on the difference between the two codes. All chapters feature exercises, bullet points, and a summary to provide the reader with essential points to remember. New to the Third Edition is a comprehensive section comprised of a combined Thesaurus and Glossary which aims to clarify the unclear and sometimes inconsistent terminology surrounding the topic.

A Comprehensive and Practical Guide to Clinical Trials provides an overview of the entire process of clinical research in one thorough and easy-to-read handbook that offers those involved in clinical research a clear understanding of how the components of a study are related. It focuses on the practical aspects of the preparation and execution of a clinical trial and offers tools and resources to help the entire team understand how their responsibilities tie together with the tasks and duties of other members. This allows for better planning and prioritization, and can lead to more effective and successful clinical trials. With practical examples, checklists and forms, this book is a useful guide for planning and conducting clinical trials from beginning to end. - Describes the entire clinical trial management process from start to finish in a step-by-step guide - Provides best practice elements, including case studies, practical examples, activities, and checklists

A Practical Guide to Managing Clinical Trials is a basic, comprehensive guide to conducting clinical trials. Designed for individuals working in research site operations, this user-friendly reference guides the reader through each step of the clinical trial process from site selection, to site set-up, subject recruitment, study visits, and to study close-out. Topics include staff roles/responsibilities/training, budget and contract review and management, subject study visits, data and document management, event reporting, research ethics, audits and inspections, consent processes, IRB, FDA regulations, and good clinical practices. Each chapter concludes with a review of key points and knowledge application. Unique to this book is "A View from India," a chapter-by-chapter comparison of clinical trial practices in India versus the U.S. Throughout the book and in Chapter 10, readers will glimpse some of the challenges and opportunities in the emerging and growing market of Indian clinical trials.

A valuable new edition of the trusted, practical guide to managing data in clinical trials Regardless of size, type, or complexity, accurate results for any clinical trial are ultimately determined by the quality of the collected data. Management of Data in Clinical Trials, Second Edition explores data management and trial organization as the keys to developing an accurate and reliable clinical trial. With a focus on the traditional aspects of data collection as well as recent advances in technology, this new edition provides a complete and accessible guide to the management structure of a clinical trial, from planning and development to design and analysis. Practical approaches that result in the collection of complete and timely data are also provided. While maintaining a comprehensive overview of the knowledge and tools that are essential for the organization of a modern clinical trial, the author has expanded the topical coverage in the Second Edition to reflect the possible uses of recent advances in technology in the data collection process. In addition, the Second Edition discusses the impact of international regulations governing the conduct of clinical trials and provides guidelines on ensuring compliance with national requirements. Newly featured topics include: The growing availability of "off-the-shelf" solutions for clinical trials Potential models for collaboration in the conduct of clinical trials between academia and the pharmaceutical industry The increasing use of the Internet in the collection of data and management of trials Regulatory requirements worldwide and compliance with the ICH Good Clinical Practice (GCP) Guidelines Development of Standard Operating Procedures for the conduct of clinical trials Complete with chapter summaries that reinforce key points as well as over one hundred examples, Management of Data in Clinical Trials, Second Edition is an ideal resource for practitioners in the clinical research community who are involved in the development of clinical trials, including data managers, research associates, data coordinators, physicians, and statisticians. This book also serves as an excellent supplemental text for courses in clinical trials at both the undergraduate and graduate levels.

What if you were suddenly in charge? After the initial excitement of a "battlefield promotion" wears off, you need to get in the trenches and get the job done. And if you are already in the trenches, you need quick access to information that will make your job easier. A comprehensive desk reference and guide, Clinical Studies Management: A Practical Guide to Success provides the practical skills and methods required by project managers running clinical studies. The author explains a framework for project management based on seven core themes: goals, budgets, time, resources, measurement, communication, and training. He solidly reviews how modern management theory can be brought to bear on the specialized demands of clinical trials. The book covers the practical how-tos of writing and costing a study, organizing an Investigator Meeting, and improving patient enrollment in your study. Divided into stand-alone chapters that make the information easy to find, the book presents a comprehensive overview of drug development processes and the trends that are driving change. If you are new to study management, the book rapidly brings you up to speed. If you are an experienced study manager, it gives you a convenient and authoritative reference you will use on a daily basis. Whatever your level of experience, Clinical Studies Management: A Practical Guide to Success supplies the tools you need to manage your projects efficiently and effectively.

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.

A single trial is complex, with numerous regulations, administrative processes, medical procedures, deadlines and specific protocol instructions to follow. And yet, there has existed no single-volume, comprehensive clinical research reference manual for investigators, medical institutions, and national and international research personnel to keep on the shelf as a ready reference to navigate through trial complexities and ensure compliance with U.S. Federal Regulations and ICH GCP until The Sourcebook for Clinical Research. An actionable, step-by-step guide through beginning to advanced topics in clinical research with forms, templates and checklists to download from a companion website, so that study teams will be compliant and will find all the necessary tools within this book. Additionally, the authors developed Display Posters for Adverse Events Plus Reporting and Medicare Coverage Analysis that can be purchased separately here: https://www.elsevier.com/books-and-journals/book-companion/9780128162422/order-display-posters. Moreover, The Sourcebook for Clinical Research contains clear information and guidance on the newest changes in the industry to keep seasoned investigators and staff current and compliant, in addition to providing detailed information regarding the most complex topics. This book serves as a quick, actionable, off-the-shelf resource to keep by your side at the medical clinic. - Makes vital trial conduct information easy to understand and instructs on how to practically apply current Federal regulations and Good Clinical Practice (ICH GCP) - Offers extensive guidance that is crucial for guaranteeing compliance to clinical research regulations during each step of the clinical research process - Provides up-to-date and extensive coverage of beginning to advanced topics, and, step-by-step actions to take during exceptional circumstances, including compassionate use, emergency use, human subjects protections for vulnerable populations, and federal audits - Furnishes a detailed clinical research Glossary, and a comprehensive Appendix containing ready-to-use forms, templates, and checklists for clinical trial personnel to download and begin using immediately. - Written for the fast-paced clinic environment with action steps and forms in the book to respond to a research subject's needs urgently and compliantly