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Information technology and data in h...
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Hartzband, David.
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Information technology and data in healthcare = using and understanding data /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Information technology and data in healthcare/ David Hartzband.
其他題名:
using and understanding data /
作者:
Hartzband, David.
出版者:
Boca Raton, FL :CRC Press, : 2020.,
面頁冊數:
1 online resource :ill.
附註:
"A Productivity Press book".
標題:
Medical informatics. -
電子資源:
https://www.taylorfrancis.com/books/9780429061219
ISBN:
9780429061219
Information technology and data in healthcare = using and understanding data /
Hartzband, David.
Information technology and data in healthcare
using and understanding data /[electronic resource] :David Hartzband. - Boca Raton, FL :CRC Press,2020. - 1 online resource :ill. - HIMSS book series. - HIMSS book series..
"A Productivity Press book".
Includes bibliographical references and index.
Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital for hospitals and health systems to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.
ISBN: 9780429061219Subjects--Topical Terms:
661258
Medical informatics.
LC Class. No.: R858
Dewey Class. No.: 362.10285
Information technology and data in healthcare = using and understanding data /
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Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital for hospitals and health systems to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.
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