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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221104b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781316514993 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
610.285 |
| Item number |
PAP |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Papademetris, Xenophon |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Introduction to medical software : foundations for digital health, devices, and diagnostics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
2022 |
| Place of publication, distribution, etc |
Cambridge : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 322 p. ; |
| Other physical details |
ill., |
| Dimensions |
25 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
57.99 |
| Price type code |
GBP |
| Unit of pricing |
95.20 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Cambridge texts in biomedical engineering |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"The goal of this book is to provide in one brief and accessible volume a survey of the critical material involved in the design, implementation, and management of medical software for both standalone software ("software as a medical device - SaMD") and software that is part of a physical medical device. One will find more detailed treatments of many of the topics covered in this book in specialized books that focus on some of the topics we cover (e.g. software engineering, systems engineering, probability theory, machine learning). Depth was not our goal; this book is explicitly designed to provide a broad survey. Our hope is to familiarize the reader with the span of topics he or she may need in entering this field and to provide pointers to more specialized publications as this becomes necessary. For example, most computer scientists have very limited exposure to statistical decision theory, and we think that even the cursory coverage in this book will at least enable them to understand "what they do not know" and seek help as opposed to being ignorant of this entire field and attempting to reinvent the wheel in an amateurish manner! An emerging challenge in medical software is the increasing use of big data and artificial intelligence/machine learning (AI/ML) techniques. This places an even greater stress on proper software design and management. Given that these are "black box" methods, in which the human understanding of what actually is going on is limited, a proper software quality process will be even more critical in creating reliable software tools. We introduce this topic in Section 1.3. In that section we also provide pointers to the other sections of the book in which we discuss issues related to the use of AI/ML methods. This is an introductory book. One can and should follow the material here with further study, using both original regulatory materials, industry standards,1 and more advanced books.2 Our goal can be summarized by the phrase "to convert unknown unknowns to known unknowns." Our goal is to make our reader aware of important material he or she is not as familiar with as one should be, and to pursue further study to acquire such knowledge. This is not a programming book. Our goal is to describe the enabling activities that support programmers in producing high-quality software in the context of medical applications. We are less concerned by questions such as 'How should we code?' Our focus, rather, is on answering higher-level questions such as 'How do we decide what we need to code?' and 'How should the process be organized?' There is a wealth of material available that describes the actual coding process, and, therefore, we chose not to duplicate this type of description here. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence |
|
|---|
| Topical term or geographic name as entry element |
Intelligence artificielle |
|
|---|
| Topical term or geographic name as entry element |
Logiciels |
|
|---|
| Topical term or geographic name as entry element |
Medical Informatics |
|
|---|
| Topical term or geographic name as entry element |
Software Validation |
|
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| Topical term or geographic name as entry element |
User need |
|
|---|
| Topical term or geographic name as entry element |
Healthcare |
|
|---|
| Topical term or geographic name as entry element |
Electronic health records |
|
|---|
| Topical term or geographic name as entry element |
FDA |
|
|---|
| Topical term or geographic name as entry element |
GDPR |
|
|---|
| Topical term or geographic name as entry element |
Medical images |
|
|---|
| Topical term or geographic name as entry element |
Off-the-shelf libraries |
|
|---|
| Topical term or geographic name as entry element |
Patient |
|
|---|
| Topical term or geographic name as entry element |
Risk management |
|
|---|
| Topical term or geographic name as entry element |
Software deployment |
|
|---|
| Topical term or geographic name as entry element |
Traceability |
|
|---|
| Topical term or geographic name as entry element |
Clinical trials |
|
|---|
| Topical term or geographic name as entry element |
Quality management system |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Quraishi, Ayesha N. |
|
|---|
| Personal name |
Licholai, Gregory P. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |