1. Sepsis Patient Management
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organization’s logo.
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Poster Identification
by Qlik
Sepsis Patient Management
Qlik Healthcare 42
Describe your use
case briefly
Note the title of the use case/app, and your organization’s name
The Sepsis Patient Management solution created by Qlik gives healthcare organizations an executive overview of how they are monitoring patients that have developed sepsis by: tracking physician SEP-1 compliance, automatically calculating patient severe sepsis zero points and acuity, as well as analyzing medication patterns and outcomes.
For any questions, please contact Joe Warbington at Qlik:
Be sure to submit this use case through the Qlik Qonnections website:
Include some high quality screenshots or photos
of the app in action
What did you discover with
this app?
How did the
Associative Difference
(green-white-grey)
highlight opportunities?
What has been achieved
with the app?
What was the impact to
your processes or ROI?
DISCOVERIES
Customers have found direct relationships between their SEP-1 compliance and overall mortality rates at their organizations.
ACHIEVEMENTS
Health systems using this solution have been able to greatly decrease the amount of time spent calculating compliance measures as most had historically done so via manual chart abstraction.
Note how many data sources were used and roughly the volume of data.
What are the major
source systems?
Were any advanced analytics used (R, Python, SAS, DataRobot, BigSquid, etc.)?
How many people use
the app? What types of roles
use it?
Is the app embedded in another system, available on mobile devices, and/or on large screens?
AUDIENCE
75 people use this app
Roles: Chief Medical, Nursing, and Quality Officers, ED Clinicians, Infection Control staff, and Administrators.
This app is embedded in the EHR workflows for clinicians to use in real-time, and available on mobile devices for rounding.
DATA AND ADVANCED ANALYTICS
4 sources with ~25 million rows
Sepsis Patient Visits
Vitals
Lab Results
Medications
This app calculates a predictive Sepsis risk score.