Developing Medical Apps and mHealth Interventions


Book Description

This book provides a practically applicable guide to designing evidence-based medical apps and mHealth interventions. It features detailed guidance and case studies where applicable on the best practices and available techniques from both technological (platform technologies, toolkits, sensors) and research perspectives. This approach enables the reader to develop a deep understanding of how to collect the appropriate data and work with users to build a user friendly app for their target audience. Information on how researchers and designers can communicate their intentions with a variety of stakeholders including medical practitioners, developers and researchers to ensure the best possible decisions are made during the development process to produce an app of optimal quality that also considers usability. Developing Medical Apps and mHealth Interventions comprehensively covers the development of medical and health apps for researchers, informaticians and physicians, and is a valuable resource for the experienced professional and trainee seeking a text on how to develop user friendly medical apps.




Healthcare and Medical Apps


Book Description

There's a quiet revolution (or maybe "evolution" is more accurate) going on in the healthcare industry.Over the last ten years over 250,000 mobile healthcare apps have appeared on the scene - and that's only the beginning. According to estimates from Zion Market Research the market for mHealth (mobile health) apps will top $100 billion worldwide in 2018. With smartphones and tablets becoming an essential part of our lives it makes sense to provide apps for those devices that can help organize your medical records, monitor your health, alert you to a possible medical problem, and help connect you to a healthcare professional.So how do smartphones function as medical devices? The cameras, microphones, and other sensors built into smartphones are improving all the time and can already be used to help diagnose certain illnesses The microphone for example, can be used to help detect asthma and COPD (Chronic Obstructive Pulmonary Disorder). There are also apps that use the camera and flash to diagnose blood disorders such as iron and hemoglobin deficiency. Smartphones can even by used to detect conditions such as osteoporosis by using the phone's motion sensor.Doctors and medical researchers are also turning to smartphone technology as an efficient way to handle electronic health data. Having patients collect data relating to their medical condition by using a smartphone app can make it much easier for a physician to form a diagnosis and to follow up on the effectiveness of the treatment the patient is undergoing. And that same data collected from many different patients can be a gold mine for medical research personnel, providing them with a massive database of clinical information never available before.This book covers just a few of the many different types of mobile health apps available on the market today. Dozens more (including many that offer new and more advanced technology) are being added everyday. Consider this book a sampler - and, if you're interested in building a mobile health care app yourself, you'll also find some introductory information about building your own app. Welcome to the future of healthcare!




Fundamentals of Clinical Data Science


Book Description

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.




MHealth


Book Description

The use of mobile and wireless technologies to support the achievement of health objectives (mHealth) has the potential to transform the face of health service delivery across the globe. A powerful combination of factors is driving this change. These include rapid advances in mobile technologies and applications, a rise in new opportunities for the integration of mobile health into existing eHealth services, and the continued growth in coverage of mobile cellular networks. According to the International Telecommunication Union (ITU), there are now over 5 billion wireless subscribers; over 70% of them reside in low- and middle-income countries. For the first time the World Health Organization's Global Observatory for eHealth (GOe) has sought to determine the status of mHealth in Member States; its 2009 global survey contained a section specifically devoted to mHealth. Completed by 114 Member States, the survey documented for analysis four aspects of mHealth: adoption of initiatives, types of initiatives, status of evaluation, and barriers to implementation. Fourteen categories of mHealth services were surveyed: health call centres, emergency toll-free telephone services, managing emergencies and disasters, mobile telemedicine, appointment reminders, community mobilization and health promotion, treatment compliance, mobile patient records, information access, patient monitoring, health surveys and data collection, surveillance, health awareness raising, and decision support systems.




Diagnostic Applications of Health Intelligence and Surveillance Systems


Book Description

Health surveillance and intelligence play an important role in modern health systems as more data must be collected and analyzed. It is crucial that this data is interpreted and analyzed effectively and efficiently in order to assist with diagnoses and predictions. Diagnostic Applications of Health Intelligence and Surveillance Systems is an essential reference book that examines recent studies that are driving artificial intelligence in the health sector and helping practitioners to predict and diagnose diseases. Chapters within the book focus on health intelligence and how health surveillance data can be made useful and meaningful. Covering topics that include computational intelligence, data analytics, mobile health, and neural networks, this book is crucial for healthcare practitioners, IT specialists, academicians, researchers, and students.




Mobile Health Applications for Quality Healthcare Delivery


Book Description

Mobile Health Applications for Quality Healthcare Delivery explores the emergence of mHealth in the healthcare setting and examines its impact on patient-centered care, including how it has reshaped access, quality, and treatment.




Pocket Guide to Diagnostic Tests, Sixth Edition


Book Description

A quick reference guide to the selection and interpretation of more than 450 commonly used diagnostic tests COVERS: Basic principles of diagnostic testing, common blood, urine and cerebrospinal fluid laboratory tests, therapeutic drug monitoring, microbiologic test selection and interpretation and diagnostic imaging tests by body system , electrocardiography, and differential diagnosis tables & algorithms Tests used in internal medicine, pediatrics, surgery, neurology and obstetrics and gynecology INCLUDES: Costs and risks of diagnostic tests Evidence-based information Diseases associated with abnormal test results, including test sensitivities Full literature citations with PubMed (PMID) numbers included for each reference More than 24 NEW clinical laboratory test entries, 6 NEW differential diagnosis tables 5 NEW diagnostic algorithms NEW sections on point-of-care testing, provider-performed microscopy, pharmacogenetic testing, and diagnostic echocardiography




Smartphone Apps for Health and Wellness


Book Description

Smartphone Apps for Health and Wellness helps readers navigate the world of smartphone apps to direct them to those which have had the best medical evidence in obtaining the users' goal. The book covers the history of apps, how they work, and specific apps to improve health and wellness in order to improve patients outcomes. It discusses several types of apps, including apps for medical care, sleeping, relaxation, nutrition, exercise and weight loss. In addition, sections present the features of a good app to empower readers to make their own decision when evaluating which one to use. This is a valuable resource for clinicians, physicians, researchers and members of biomedical field who are interested in taking advantage of smartphone apps to improve overall health and wellness of patients. - Summarizes smartphone apps with the best evidence to improve health and wellness - Discusses the most important features of an app to help readers evaluate which app is appropriate for their specific needs - Presents the typical results expected when regularly using an app in order to assist healthcare providers in predicting patient outcomes




Mobile Health


Book Description

This book offers a comprehensive report on the technological aspects of Mobile Health (mHealth) and discusses the main challenges and future directions in the field. It is divided into eight parts: (1) preventive and curative medicine; (2) remote health monitoring; (3) interoperability; (4) framework, architecture, and software/hardware systems; (5) cloud applications; (6) radio technologies and applications; (7) communication networks and systems; and (8) security and privacy mechanisms. The first two parts cover sensor-based and bedside systems for remotely monitoring patients’ health condition, which aim at preventing the development of health problems and managing the prognosis of acute and chronic diseases. The related chapters discuss how new sensing and wireless technologies can offer accurate and cost-effective means for monitoring and evaluating behavior of individuals with dementia and psychiatric disorders, such as wandering behavior and sleep impairments. The following two parts focus on architectures and higher level systems, and on the challenges associated with their interoperability and scalability, two important aspects that stand in the way of the widespread deployment of mHealth systems. The remaining parts focus on telecommunication support systems for mHealth, including radio technologies, communication and cloud networks, and secure health-related applications and systems. All in all, the book offers a snapshot of the state-of-art in mHealth systems, and addresses the needs of a multidisciplinary audience, including engineers, computer scientists, healthcare providers, and medical professionals, working in both academia and the industry, as well as stakeholders at government agencies and non-profit organizations.




Social Media and Mobile Technologies for Healthcare


Book Description

In addition to social media’s prevalence for personal use, online networking tools are also gaining momentum in the healthcare field. Health information and patient discussion are embracing these technologies to create a more ubiquitous communication platform. Social Media and Mobile Technologies for Healthcare provides insight on the tools that are integral to understanding and implementing emerging technologies in health-related fields. With an ever-growing presence of patients and health professionals on social networking sites, this book will provide insight into the effect of communication technologies on health services. This publication is useful for professionals and researchers in health informatics, as well as students, practitioners, clinicians, and academics.