An introduction to research methodology, this textbook contains conceptual and nontechnical descriptions of the methods used by researchers in medical experimentation. Each step of the research process is explained and illustrated with examples from practice. This revised second edition also has expanded sections on clinical research methods, action research, Web resources, and current scenarios.

"This book examines the vital role research plays in the improvement of health science practices. It provides novice researchers with the principles of philosophy of science as well as practical research methods. It is valuable in research capacity development, as well as being a handy resource for more experienced researchers reviewing research principles. This fourth edition of Fundamentals of Research Methodology for Healthcare Professionals has been updated to incorporate the latest trends in research methodology and evidence-based practice. It details the steps involved in planning and undertaking a research project, from identifying and formulating the problem through to reporting findings. It underscores the importance of having a clear understanding of research methodology and terminology for doing the following: reading research reports with critical insight, implementing evidence-based practice, and expanding research. This edition is certain to stimulate awareness of the myriad researchable and research-requiring questions encountered daily in healthcare practice."--Back cover.

Completely revised and updated to incorporate the latest trends in research methodology and evidence-based practice, this third edition of a valuable industry resource examines the vital role research plays in the improvement of health sciences practices. It details the steps involved in planning and undertaking a research project, from identifying and formulating the problem to reporting findings, and underscores the importance of a clear understanding of research methodology and terminology. This volume is certain to stimulate awareness of the myriad researchable and research-requiring questions encountered daily in health practice.

The second edition of this innovative work again provides a unique perspective on the clinical discovery process by providing input from experts within the NIH on the principles and practice of clinical research. Molecular medicine, genomics, and proteomics have opened vast opportunities for translation of basic science observations to the bedside through clinical research. As an introductory reference it gives clinical investigators in all fields an awareness of the tools required to ensure research protocols are well designed and comply with the rigorous regulatory requirements necessary to maximize the safety of research subjects. Complete with sections on the history of clinical research and ethics, copious figures and charts, and sample documents it serves as an excellent companion text for any course on clinical research and as a must-have reference for seasoned researchers.*Incorporates new chapters on Managing Conflicts of Interest in Human Subjects Research, Clinical Research from the Patient's Perspective, The Clinical Researcher and the Media, Data Management in Clinical Research, Evaluation of a Protocol Budget, Clinical Research from the Industry Perspective, and Genetics in Clinical Research *Addresses the vast opportunities for translation of basic science observations to the bedside through clinical research*Delves into data management and addresses how to collect data and use it for discovery*Contains valuable, up-to-date information on how to obtain funding from the federal government

This 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.

This book is written to inspire enthusiasm among nursing students toward the research process. Concepts are presented in a unique worktext format, which makes it easier for students to understand and simplify the principles of research.

Designing Clinical Research sets the standard for providing a practical guide to planning, tabulating, formulating, and implementing clinical research, with an easy-to-read, uncomplicated presentation. This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop. Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.