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Supporting hospital resource scheduling

Reference number
Coordinator SOWNDER AB
Funding from Vinnova SEK 499 000
Project duration November 2016 - August 2017
Status Completed
Venture Challenge-Driven Innovation – Stage 1 initiation

Purpose and goal

The purpose of our initiative is to link personnel schedule to optimised surgery schedule to ensure that planning is based on advanced data analysis and modelling techniques instead of today´s personal dependency. During the project, we identified relevant actors to ensure need and implementation, and we have developed an analysis model of time estimation for activities and found positive effects on KPP (Kostnad Per Patient)

Expected results and effects

The overall objectives of the project were to: Enable a scheduling model that offers 6 hours working day with retained production and pay. Effects of the solution make it attractive to work in health care. Increase accuracy in estimates by analysing and predicting data generated from different data sources (clinical and administrative). The outcome of our studies and prototype development has shown that not only can we reduce to 6-hour day but also increase the interval of KPP measurements in order to correct abnormalities early in operations.

Planned approach and implementation

By visiting 3 hospitals we have been able to analyse and verify the need for our solution. There is currently no computer-aided tool that manages this area but the need is great. During the project, we have discovered new areas that calculates the KPP, which allows the economy unit to compare its effectiveness over time to see if investments have an impact or not on the daily operation. Sownder and Tieto have developed a prototype to be able to connect information from multiple systems and analyse them in real time. All workshops have had good support and great feedback has been received.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2016-03827

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