Qlik > Case Studies > QlikView helps optimize vital resources across Region Skåne intensive care units

QlikView helps optimize vital resources across Region Skåne intensive care units

Qlik Logo
Customer Company Size
Large Corporate
Region
  • Europe
Country
  • Sweden
Product
  • QlikView
  • PasIva
Tech Stack
  • Data Analysis
  • Data Visualization
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Cost Savings
Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Healthcare & Hospitals
Use Cases
  • Process Control & Optimization
  • Predictive Quality Analytics
Services
  • Data Science Services
About The Customer
Region Skåne is a Swedish healthcare organization that operates intensive care units across five major hospitals. The intensive care units handle patients that require round-the-clock observation and treatment due to complex health conditions. The units employ approximately 900 people throughout Region Skåne, making it one of the most resource-intensive areas within healthcare. To optimize their operations, the organization has developed common job descriptions for all healthcare tasks, allowing them to compare resources and results across the hospitals. This unique cooperation aims to draw valuable insights to improve the quality and efficiency of their services.
The Challenge
The intensive care units within the Swedish healthcare organization Region Skåne handle patients that need around-the-clock observation and treatment due to very complicated health conditions. All employees are specially educated in intensive care methods and are continuously trained to be able to offer the best possible treatments at all times. The intensive care unit employ approximately 900 people throughout Region Skåne. Intensive care is the most resource intensive area within healthcare and therefore the need for follow up and optimization is particularly great. Region Skåne runs a unique cooperation between its five largest hospitals. For a few years now, the intensive care units have systematically developed common job descriptions for all healthcare tasks. This makes it possible to compare invested resources and results between the hospitals and thereby also draw valuable and meaningful conclusions about how to improve their quality and efficiency.
The Solution
The foundation for the intensive care reviewing system is the underlying system PasIva. It is used for the registration of detailed information about each single healthcare action. PasIva exports the data layer that the QlikView analysis application is based upon. Nurses and doctors can then use QlikView to easily follow up the operations and compare with the results from other hospitals. The system is used by 450 people within Region Skåne. Other analysis tools were also evaluated before choosing QlikView as the main tool for analyzing the operations. The possibility to combine tables with graphical elements and the ease with which they can develop the applications themselves are the greatest advantages for them. Region Skåne was able to do updates and further develop the application themselves. Since QlikView is so easy to use for their developers, they have been able to keep the implementation costs at a low level.
Operational Impact
  • Shared results of resources and procedures among five hospitals for effective benchmarking
  • Enabled collective and meaningful analysis on how to improve quality
  • Improved capacity of limited resources through increased efficiency in delivery of patient care
  • Delivered low cost solution that is easy to use and enables fast development of new applications
Quantitative Benefit
  • Used by 450 employees across 2 functional areas
  • Kept implementation costs at a low level

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

Related Case Studies.

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.