Health Informatics Research Methods

"Dedicated to the study and practice of health informatics and health information management (HIM), Health Informatics Research Methods: Principles and Practice, Second Edition focuses on the practical applications of research in health informatics and HIM. It provides real-life examples of research studies, step-by-step research methods, and explanations of analytic procedures. The book's organization guides students and professionals through the process of conducting research specific to health informatics and HIM and is an in-depth resource for both novice and experienced researchers."--Publisher's website.

"Dedicated to the study and practice of health informatics and health information management (HIM), Health Informatics Research Methods: Principles and Practice, Second Edition focuses on the practical applications of research in health informatics and HIM. It provides real-life examples of research studies, step-by-step research methods, and explanations of analytic procedures. The book's organization guides students and professionals through the process of conducting research specific to health informatics and HIM and is an in-depth resource for both novice and experienced researchers."--

Health informatics students, practitioners, and researchers now have a complete resource specific to the profession. Health Informatics Research Methods: Principles and Practice supports seasoned and novice researchers, students, and educators. The text focuses on the practical applications of research in health informatics and health information management. It provides real-life examples of research with samples of survey instruments, step-by-step listings of methodology for several types of research designs, and examples of statistical analysis tables and explanations. The book's organization guides readers through the process of conducting research specific to health informatics concepts and functions.

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.

As director of a training program in medical informatics, I have found that one of the most frequent inquiries from graduate students is, "Although I am happy with my research focus and the work I have done, how can I design and carry out a practical evaluation that proves the value of my contribution?" Informatics is a multifaceted, interdisciplinary field with research that ranges from theoretical developments to projects that are highly applied and intended for near-term use in clinical settings. The implications of "proving" a research claim accordingly vary greatly depending on the details of an individual student's goals and thesis state ment. Furthermore, the dissertation work leading up to an evaluation plan is often so time-consuming and arduous that attempting the "perfect" evaluation is fre quently seen as impractical or as diverting students from central programming or implementation issues that are their primary areas of interest. They often ask what compromises are possible so they can provide persuasive data in support of their claims without adding another two to three years to their graduate student life. Our students clearly needed help in dealing more effectively with such dilem mas, and it was therefore fortuitous when, in the autumn of 1991, we welcomed two superb visiting professors to our laboratories.

This unifying volume offers a clear theoretical framework for the research shaping the emerging direction of informatics in health care. Contributors ground the reader in the basics of informatics methodology and design, including creating salient research questions, and explore the human dimensions of informatics in studies detailing how patients perceive, respond to, and use health data. Real-world examples bridge the theoretical and the practical as knowledge management-based solutions are applied to pervasive issues in information technologies and service delivery. Together, these articles illustrate the scope of health possibilities for informatics, from patient care management to hospital administration, from improving patient satisfaction to expanding the parameters of practice. Highlights of the coverage: · Design science research opportunities in health care · IS/IT governance in health care: an integrative model · Persuasive technologies and behavior modification through technology: design of a mobile application for behavior change · The development of a hospital secure messaging and communication platform: a conceptualization · The development of intelligent patient-centric systems for health care · An investigation on integrating Eastern and Western medicine with informatics Interest in Theories to Inform Superior Health Informatics Research and Practice cuts across academia and the healthcare industry. Its audience includes healthcare professionals, physicians and other clinicians, practicing informaticians, hospital administrators, IT departments, managers, and management consultants, as well as scholars, researchers, and students in health informatics and public health.

This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.

This is a print on demand edition of a hard to find publication. As a step toward fostering strategic investments in public health research and science, the CDC developed this comprehensive guide. To achieve practical, cost-effective policies, programs, and practices that improve health, the field of public health will need to place a high priority on interdisciplinary, cross-cutting research that facilitates innovations and helps inform many program areas. Researchers at CDC are aligning their work and research efforts to achieve specific Health Protection Goals that focus on four inter-related areas: healthy people across all stages of life; healthy places and communities; preparedness against infectious, occupational, environmental and terrorist threats; and improved global health. Charts and tables.