Read Metadata-driven Software Systems in Biomedicine: Designing Systems that can adapt to Changing Knowledge (Health Informatics) by Prakash M. Nadkarni Online
# Metadata-driven Software Systems in Biomedicine: Designing Systems that can adapt to Changing Knowledge (Health Informatics) º PDF Download by * Prakash M. Nadkarni eBook or Kindle ePUB Online free. Metadata-driven Software Systems in Biomedicine: Designing Systems that can adapt to Changing Knowledge (Health Informatics) "Prakash is still teaching me database design through this book" according to M. D. HEALY. Back in the 1990s I learned much of what I now know about relational database design when I worked with Prakash Nadkarni at Yale. Already in my first quick read of this book I have picked up several important points to consider about designing any non-trivial biomedical database application. And his understated wit shines through ]
| Title | : | Metadata-driven Software Systems in Biomedicine: Designing Systems that can adapt to Changing Knowledge (Health Informatics) |
| Author | : | |
| Rating | : | 4.43 (728 Votes) |
| Asin | : | 0857295098 |
| Format Type | : | paperback |
| Number of Pages | : | 396 Pages |
| Publish Date | : | 2017-10-08 |
| Language | : | English |
"Prakash is still teaching me database design through this book" according to M. D. HEALY. Back in the 1990s I learned much of what I now know about relational database design when I worked with Prakash Nadkarni at Yale. Already in my first quick read of this book I have picked up several important points to consider about designing any non-trivial biomedical database application. And his understated wit shines through
This book is, in a sense, intended to prepare all of the above individuals for the real world.. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change.Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a databas
Knowledge of software history – what has worked and what hasn’t – also helps in these types of detailed projects. Metadata-Driven Software Systems in Biomedicine lays down some of the foundations and provides a knowledge-base to assist this process.The technical portion of the book consists of database schemas and working code that provide non-trivial examples for the practitioner who is conversant with software development and wishes to employ the approaches described in the book. Eight of the ten chapters include case studies, while the book also includes extensible designs in biomedical applications: electronic medical records, clinical study data management
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