Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25385815
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Am+J+Med+Qual
2016 ; 31
(2
): 103-10
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Clinical Decision Support for Early Recognition of Sepsis
#MMPMID25385815
Amland RC
; Hahn-Cover KE
Am J Med Qual
2016[Mar]; 31
(2
): 103-10
PMID25385815
show ga
Sepsis is an inflammatory response triggered by infection, with a high
in-hospital mortality rate. Early recognition and treatment can reverse the
inflammatory response, with evidence of improved patient outcomes. One challenge
clinicians face is identifying the inflammatory syndrome against the background
of the patient's infectious illness and comorbidities. An approach to this
problem is implementation of computerized early warning tools for sepsis. This
multicenter retrospective study sought to determine clinimetric performance of a
cloud-based computerized sepsis clinical decision support system (CDS),
understand the epidemiology of sepsis, and identify opportunities for quality
improvement. Data encompassed 6200 adult hospitalizations from 2012 through 2013.
Of 13% patients screened-in, 51% were already suspected to have an infection when
the system activated. This study focused on a patient cohort screened-in before
infection was suspected; median time from arrival to CDS activation was 3.5
hours, and system activation to diagnostic collect was another 8.6 hours.
|Adult
[MESH]
|Aged
[MESH]
|Aged, 80 and over
[MESH]
|Cloud Computing
[MESH]
|Decision Support Systems, Clinical/*organization & administration
[MESH]
free
free
free
