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Clinical Surveillance - The Actionable Benefits of Objective Medical Device Data for Critical Decision-Making (Hardcover)
Loot Price: R4,256
Discovery Miles 42 560
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Clinical Surveillance - The Actionable Benefits of Objective Medical Device Data for Critical Decision-Making (Hardcover)
Series: HIMSS Book Series
Expected to ship within 12 - 17 working days
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For more than a decade, the focus of information technology has
been on capturing and sharing data from a patient within an
all-encompassing record (a.k.a. the electronic health record, EHR),
to promote improved longitudinal oversight in the care of the
patient. There are both those who agree and those who disagree as
to whether this goal has been met, but it is certainly evolving. A
key element to improved patient care has been the automated capture
of data from durable medical devices that are the source of
(mostly) objective data, from imagery to time-series histories of
vital signs and spot-assessments of patients. The capture and use
of these data to support clinical workflows have been written about
and thoroughly debated. Yet, the use of these data for clinical
guidance has been the subject of various papers published in
respected medical journals, but without a coherent focus on the
general subject of the clinically actionable benefits of objective
medical device data for clinical decision-making purposes. Hence,
the uniqueness of this book is in providing a single
point-of-capture for the targeted clinical benefits of medical
device data--both electronic- health-record-based and
real-time--for improved clinical decision-making at the point of
care, and for the use of these data to address and assess specific
types of clinical surveillance. Clinical Surveillance: The
Actionable Benefits of Objective Medical Device Data for Crucial
Decision-Making focuses on the use of objective, continuously
collected medical device data for the purpose of identifying
patient deterioration, with a primary focus on those data normally
obtained from both the higher-acuity care settings in intensive
care units and the lower-acuity settings of general care wards. It
includes examples of conditions that demonstrate earlier signs of
deterioration including systemic inflammatory response syndrome,
opioid-induced respiratory depression, shock induced by systemic
failure, and more. The book provides education on how to use these
data, such as for clinical interventions, in order to identify
examples of how to guide care using automated durable medical
device data from higher- and lower-acuity care settings. The book
also includes real-world examples of applications that are of high
value to clinical end-users and health systems.
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