Wu | Information Technology in Healthcare | Buch | 978-1-63487-634-6 | www2.sack.de

Buch, Englisch, 114 Seiten, Paperback, Format (B × H): 152 mm x 229 mm, Gewicht: 178 g

Wu

Information Technology in Healthcare

What Professionals Need to Know
Erscheinungsjahr 2016
ISBN: 978-1-63487-634-6
Verlag: Cognella Academic Publishing

What Professionals Need to Know

Buch, Englisch, 114 Seiten, Paperback, Format (B × H): 152 mm x 229 mm, Gewicht: 178 g

ISBN: 978-1-63487-634-6
Verlag: Cognella Academic Publishing


Information Technology in Healthcare: What Professionals Need to Know introduces students in the healthcare, nursing, and allied health professions to information technology. The material narrows the reader's understanding of the general term data in order to explain primary components of information technology as it applies specifically to healthcare fields.

The book describes key concepts in the new discipline of health informatics, particularly electronic medical records, which are now widely used in health care. The five sections of the books cover the four primary components of medical information. Parts I and III focus on databases, Part II discusses electronic medical records, Part IV is devoted to the network, and Part V addresses software engineering.

Written with an eye to current uses of technology in the field and designed for today's healthcare professionals, Information Technology in Healthcare is an excellent text for courses in healthcare administration, and undergraduate nursing and allied health programs.

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Autoren/Hrsg.


Weitere Infos & Material


Min Wu holds a Ph.D. in biomedical engineering from the University of North Carolina. Now an associate professor in the College of Health Sciences at the University of Wisconsin, Milwaukee, his research focuses on identifying unmet medical needs and implementing technological solutions to meet them. His writing has appeared in the<i> Journal of Medical Informatics</i>, the <i>Journal of Medical Systems</i>, and <i>Academic Radiology</i>. Dr. Wu is a past recipient of the Best Article Award for his work in the <i>Journal of Digital Imaging</i>.



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