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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Physiology --- computational modeling --- medical devices --- physiome --- medical technology --- medical translation --- virtual model --- technology translation --- health --- physiology --- computational modeling --- medical devices --- physiome --- medical technology --- medical translation --- virtual model --- technology translation --- health --- physiology

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Regulations that cover the legal obligations that manufacturers are bound to are essential for keeping the general public safe. Companies need to follow the regulations in order to bring their products to market. A good understanding of the regulations and the regulatory pathway defines how fast and at what cost the manufacturer can introduce innovations to the market. Regulatory technology and data science can lead to new regulatory processes and evidence in the medical field. It can equip stakeholders with unique tools that can make regulatory decisions more objective, efficient, and accurate. This book describes the latest research within the broader domain of Medical Regulatory Technology (MedRegTech). It covers concepts such as the complexity and user-friendliness of medical device regulations, novel algorithms for regulatory navigation, descriptive datasets from a health service provider, regulatory data science techniques, and considerations of the environmental impacts within a national health service. This book brings all these aspects together to offer an introduction into MedRegTech research. In the long term, these technologies and methods will help optimize the regulatory strategy for individual healthcare innovations and revolutionize the way we engage with regulatory services.

Technology: general issues --- History of engineering & technology --- medical technology --- digital healthcare --- data science --- regulations --- machine learning --- software --- medical device regulations --- healthcare provider --- software as medical device --- technology translation --- quality management system --- law --- medical devices --- regulatory data science --- natural language processing --- linguistic analysis --- optimisation --- medical device --- ecodesign --- environmental impact --- classification --- healthcare --- innovation --- regulation --- decision tree complexity --- medical technology --- digital healthcare --- data science --- regulations --- machine learning --- software --- medical device regulations --- healthcare provider --- software as medical device --- technology translation --- quality management system --- law --- medical devices --- regulatory data science --- natural language processing --- linguistic analysis --- optimisation --- medical device --- ecodesign --- environmental impact --- classification --- healthcare --- innovation --- regulation --- decision tree complexity

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Regulations that cover the legal obligations that manufacturers are bound to are essential for keeping the general public safe. Companies need to follow the regulations in order to bring their products to market. A good understanding of the regulations and the regulatory pathway defines how fast and at what cost the manufacturer can introduce innovations to the market. Regulatory technology and data science can lead to new regulatory processes and evidence in the medical field. It can equip stakeholders with unique tools that can make regulatory decisions more objective, efficient, and accurate. This book describes the latest research within the broader domain of Medical Regulatory Technology (MedRegTech). It covers concepts such as the complexity and user-friendliness of medical device regulations, novel algorithms for regulatory navigation, descriptive datasets from a health service provider, regulatory data science techniques, and considerations of the environmental impacts within a national health service. This book brings all these aspects together to offer an introduction into MedRegTech research. In the long term, these technologies and methods will help optimize the regulatory strategy for individual healthcare innovations and revolutionize the way we engage with regulatory services.

medical technology --- digital healthcare --- data science --- regulations --- machine learning --- software --- medical device regulations --- healthcare provider --- software as medical device --- technology translation --- quality management system --- law --- medical devices --- regulatory data science --- natural language processing --- linguistic analysis --- optimisation --- medical device --- ecodesign --- environmental impact --- classification --- healthcare --- innovation --- regulation --- decision tree complexity --- n/a