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Mobile Health Technologies, also known as mHealth technologies, have emerged, amongst healthcare providers, as the ultimate Technologies-of-Choice for the 21st century in delivering not only transformative change in healthcare delivery, but also critical health information to different communities of practice in integrated healthcare information systems. mHealth technologies nurture seamless platforms and pragmatic tools for managing pertinent health information across the continuum of different healthcare providers. mHealth technologies commonly utilize mobile medical devices, monitoring and wireless devices, and/or telemedicine in healthcare delivery and health research. Today, mHealth technologies provide opportunities to record and monitor conditions of patients with chronic diseases such as asthma, Chronic Obstructive Pulmonary Diseases (COPD) and diabetes mellitus. The intent of this book is to enlighten readers about the theories and applications of mHealth technologies in the healthcare domain.
Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing --- Medical bioinformatics
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Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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A Practical Guide for Informationists: Supporting Research and Clinical Practice guides new informationists to a successful career, giving them a pathway to this savvier, more technically advanced, domain-focused role in modern day information centers and libraries. The book's broad scope serves as an invaluable toolkit for healthcare professionals, researchers and graduate students in information management, library and information science, data management, informatics, etc. Furthermore, it is also ideal as a textbook for courses in medical reference services/medical informatics in MLIS programs. Offer examples (e.g. case studies) of ways of delivering information services to end users Includes recommendations, evidence and worksheets/take-aways/templates to be repurposed and adapted by the reader Aimed at the broad area of healthcare and research libraries
Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier is the cross-disciplinary approach required to create digital tools, a process that requires knowledge from many people across a range of fields. 'Fast Facts: Digital Medicine – Measurement' aims to overcome that barrier, introducing the reader to core concepts and terms and facilitating dialogue. Contrasting 'clinical research' with routine 'clinical care', this short colorful book describes types of digital measurement and how to use and validate digital measures in different settings. And with the burgeoning development of digital medicine tools, the authors provide a timely overview of the security, ethical, regulatory and legal issues to be considered before a product can enter the market. Contents: • What is digital medicine? • Where does digital medicine fit? • Regulatory considerations • Ethical principles and our responsibilities • Ethics in practice • Security, data rights and governance • Digital biomarkers and clinical outcomes • Measurement in clinical trials • Verification and validation • The future of digital medicine
Medical informatics --- Management. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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Information technology has been revolutionizing the everyday life of the common man, while medical science has been making rapid strides in understanding disease mechanisms, developing diagnostic techniques and effecting successful treatment regimen, even for those cases which would have been classified as a poor prognosis a decade earlier. The confluence of information technology and biomedicine has brought into its ambit additional dimensions of computerized databases for patient conditions, revolutionizing the way health care and patient information is recorded, processed, interpreted and utilized for improving the quality of life. This book consists of seven chapters dealing with the three primary issues of medical information acquisition from a patient's and health care professional's perspective, translational approaches from a researcher's point of view, and finally the application potential as required by the clinicians/physician. The book covers modern issues in Information Technology, Bioinformatics Methods and Clinical Applications. The chapters describe the basic process of acquisition of information in a health system, recent technological developments in biomedicine and the realistic evaluation of medical informatics.
Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing --- Medical bioinformatics
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Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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Medical informatics --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Research --- Methodology. --- Data processing
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Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing
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