Qlik Case Studies QlikView delivering the right treatment for Sahlgrenska University Hospital
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QlikView delivering the right treatment for Sahlgrenska University Hospital

Qlik
Analytics & Modeling - Real Time Analytics
Healthcare & Hospitals
Predictive Maintenance
Real-Time Location System (RTLS)
Data Science Services
Sahlgrenska University Hospital faced the challenge of integrating data from Siemens Melior patient journal system with five other hospital systems. The hospital needed to provide medical professionals with faster access to critical information to identify and treat any complications from cranial surgery. The existing system was not efficient in measuring patient flows, groupings, and costs. The information about the patient was spread in different places, making it extremely difficult to get the basic data for decision making fast enough.
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Sahlgrenska University Hospital is a university and regional hospital located in Göteborg, Sweden. It provides emergency and basic care for its 700,000 inhabitants in the region. The hospital is regarded as Northern Europe’s largest hospital with over 2,700 beds divided into 165 wards and approximately 17,000 employees. The hospital's activity costs approximately €800 million a year. At Sahlgrenska, associate professor Daniel Stålhammar at the Neurosurgery clinic works to improve and optimize the treatment of severe skull injuries. He is one of the leading clinicians in the project of applying computer technology to track, monitor and analyze medical journal data.
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Sahlgrenska University Hospital deployed QlikView to 25 employees across 2 functional areas. With QlikView, medical professionals are now able to analyze patient history, treatments, procedures, and survivability data - all focused on improving the ability to identify and treat complications such as meningitis from treating a severe head injury. With QlikView Server, Sahlgrenska University Hospital handles massive amounts of data that is aggregated from Siemens Melior and an array of other medical systems. Daniel Stålhammar has now built a system based on specialized QlikView applications, where he pulls the required information from six separate databases in a matter of seconds.
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99% decrease in time to access patient-critical information (from hours and days down to seconds)
Ability to immediately access and analyze patient information, examinations, and test results to support a doctor’s decision making
New capabilities to efficiently describe, record, quantify and analyze patient procedures building history to improve treatments and patient outcomes
Reduced complications from cranial surgery to zero, thus reduced resources and costs of ~ €750,000 annually associated with treating these expensive complications
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