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The Updated and Extensively Revised Guide to Developing Efficient Health Information Management Systems Health Information Management is the most comprehensive introduction to the study and development of health information management (HIM). Students in all areas of health care gain an unmatched understanding of the entire HIM profession and how it currently relates to the complex and continuously evolving field of health care in the United States. This brand-new Sixth Edition represents the most thorough revision to date of this cornerstone resource. Inside, a group of hand-picked HIM educators and practitioners representing the vanguard of the field provide fundamental guidelines on content and structure, analysis, assessment, and enhanced information. Fully modernized to reflect recent changes in the theory and practice of HIM, this latest edition features all-new illustrative examples and in-depth case studies, along with: Fresh and contemporary examinations of both electronic and print health records, data management, data privacy and security, health informatics and analytics, and coding and classification systems An engaging and user-friendly pedagogy, complete with learning objectives, key terms, case studies, and problems with workable solutions in every chapter Ready-to-use PowerPoint slides for lectures, full lesson plans, and a test bank for turnkey assessments A must-have resource for everyone in health care, Health Information Management, Sixth Edition, puts everything you need at your fingertips.
How can we work together to understand the rise of obesity and reverse its related diseases and societal impacts? Obesity is a complex condition that increases a person's risk for developing diabetes, heart disease, cancer, dementia, and other life-threatening conditions. Contrary to prevailing notions that it results solely from a person's diet and exercise failings, a predisposition to obesity is actually determined by genetics as well as by environmental and socioeconomic factors that lie beyond individual control. In Can the Obesity Crisis Be Reversed?, Dr. Rexford Ahima draws on his extensive laboratory and clinical experiences at top institutions to examine the complicated causes of obesity, as well as the most cutting-edge approaches for prevention and treatment. Ahima looks at how the rising trends of obesity and associated diseases are driving up health care costs. He also offers insight into the widespread suffering that obesity imposes and its disproportionate impacts in minority and underserved communities. Calling for greater societal and community engagement in stemming the obesity crisis, Ahima argues that there is an urgent need to promote healthier foods and environmental infrastructure as well as formal programs that reduce obesity. By understanding and applying fundamental knowledge, Can the Obesity Crisis Be Reversed? makes a convincing case that all of us, working individually and collectively, can help to reverse the obesity crisis. Features • Provides information on the biological pathways that control eating and metabolism • Explains genetic and environmental bases of obesity • Reviews the contributions of diet and physical activity to weight gain while speaking to the folly and dangers of individual blame • Offers practical recommendations for healthy diets, exercise, and lifestyle • Discusses current medical and surgical treatments of obesity • Examines comprehensive societal strategies for obesity prevention Johns Hopkins Wavelengths In classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms.
Health law is a rapidly changing field, and students entering the HIM fields require the most recent knowledge to move the profession forward and achieve legal compliance. This revised reprint of Fundamentals of Law for Health Informatics and Information Management contains updates to the second edition. New features and major updates in to this edition include: Medical Identity Theft and Red Flags Rule Contracts, Antitrust, and Corporate Healthcare Liability 2013 HIPAA Privacy and Security updates under ARRA and HITECH updates, including Breach Notification Requirements Meaningful Use E-Discovery Security Safeguard Mechanisms Key Features Online resources include a linked reference list Addresses topics critical to effective HIM practice Instructor manual available online
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
Published in conjunction with the American Health Information Management Association(R) (AHIMA), this title covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). Computer applications used in the real world are emphasized throughout the book, with only a minimal focus on manual applications.
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
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