Project 4 – Pathways of Service Utilisation

Short Description

Project 1 ‚Pathways of Service Utilisation‘ deals with the question, which pathway a sick patient is passed through the Austrian health-care system. Hereby bottlenecks and unusual structures in the system should be found. On the one hand, this information is valuable to decision-makers, on the other hand, it can be used to parameterise simulation models developed in Projects 3 and 5.

Objectives and Methods

Targets of this project can roughly be subdivided:

  • Determination of certain pathways or patients.
    Although a huge amount of data is available, data-driven determination of pathways of care, i.e. the temporal sequence of health care service institutions a patient attends in case of sickness, poses a huge challenge due to heterogeneity of data. On the one hand so called ICT-10 classification of diseases can help to classify certain pathways with diseases. Additionally highly resolved population models can help to analyse the pathways based on underlying population.In addition to statistical methods, so called record-linkage techniques are the most important tools to investigate pathways.

  • Development of decision-support tools for stakeholder.
    Finally detected patient pathways of care and found problems and bottlenecks, respectively, need to be communicated to stake-holders. This communication needs to be done implementing valid and simple tools, which are convincing, easily understood and well visualised. Hence convincing visualisation of pathways is an important research topic here.

  • Pathway prognosis.
    Mainly for resource management prognosis for different pathways of care is important information as they are directly linked to the expected occupancy of medical institutions. These prognoses will be developed using simulation- and statistical-methods in cooperation with project 3 and 5.

Expected Results

Main goal is the development of different pathway prognosis and visualisation tools. Finally they should provide information about the current and prognostic information about the current and expected occupancy of different health-care providers.