Requirements Engineering for Digital Health
Requirements Engineering for Digital Health
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数字健康的需求工程
DOI：
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发表时间：
2014
期刊：
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通讯作者：
A. Gavras
中科院分区：
文献类型：
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作者：
Samuel Fricker;C. Thummler;A. Gavras
医疗保健和福祉吸引了已建立的软件公司，初创企业和投资者的关注。软件开始在解决老龄化社会问题和医疗服务成本上升的问题上发挥核心作用。这种数字健康的推动者是越来越多的传感器，用于传感人体和通信基础设施，以供遥控会议，数据共享和消息传递。我们面前面临的挑战是如何有效利用这些能力，例如赋予患者权力并释放医务人员的稀缺资源。需求工程是软件产品的功能与利益相关者需求保持一致的过程，并在利益相关者和开发团队建立的共同理解中保持一致。本书为针对医疗保健和福祉的询问和指定软件时要寻找和做什么，从而帮助读者避免避免受到高度监管且明智的医疗保健领域的陷阱以及如何克服。这本书汇集了22位研究人员，工程师，律师和CEO的知识，这些知识在开发数字健康解决方案方面具有经验。它代表了最佳实践的独特阵容，以及如何为数字健康设计的要求。尤其是本书提供的：基于大量项目实用的逐步准则，示例和学习课程的数字健康，电子卫生和M健康最佳实践领域有了法律，法规，道德问题，互操作性，用户经验，安全性和隐私，如何将这些众多疑虑集中在一起，以设计数字健康解决方案的要求以及为任何打算开发数字健康软件的数字健康产品扩展数字健康产品，这本书是一本介绍和参考，具有丰富的可行见解。对于有兴趣了解如何将软件应用于医疗保健的学生，本文介绍了关键主题，并指导了进一步的研究，并参考了重要文献。
Healthcare and well-being have captured the attention of established software companies, start-ups, and investors. Software is starting to play a central role for addressing the problems of the aging society and the escalating cost of healthcare services. Enablers of such digital health are a growing number of sensors for sensing the human body and communication infrastructure for remote meetings, data sharing, and messaging. The challenge that lies in front of us is how to effectively make use of these capabilities, for example to empower patients and to free the scarce resources of medical personnel. Requirements engineering is the process by which the capabilities of a software product are aligned with stakeholder needs and a shared understanding between the stakeholders and development team established. This book provides guide for what to look for and do when inquiring and specifying software that targets healthcare and well-being, helping readers avoid the pitfalls of the highly regulated and sensible healthcare domain are and how they can be overcome. This book brings together the knowledge of 22 researchers, engineers, lawyers, and CEOs that have experience in the development of digital health solutions. It represents a unique line-up of best practices and recommendations of how to engineer requirements for digital health. In particular the book presents: The area of digital health, e-health, and m-health Best practice for requirements engineering based on evidence from a large number of projects Practical step-by-step guidelines, examples, and lessons-learned for working with laws, regulations, ethical issues, interoperability, user experience, security, and privacy How to put these many concerns together for engineering the requirements of a digital health solution and for scaling a digital health product For anybody who intends to develop software for digital health, this book is an introduction and reference with a wealth of actionable insights. For students interested in understanding how to apply software to healthcare, the text introduces key topics and guides further studies with references to important literature.