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N. Popper:
"From Data and Structures to Models and Scenarios - Future Frameworks in Decision Making in Health Care";
Poster: ASIM-TCSE Workshop 2012, TU Wien; 13.02.2012 - 14.02.2012; in: "ARGESIM Report", S. Tauböck, F. Breitenecker (Hrg.); Argesim / Asim, 37 (2012), S. 2 - 3.

the extraordinary high amount of 20 - 25 billion Euros of annual turnover in the Austrian health system hasincreasingly raised the questions of cost - effectiveness and evidence based decision making in health care.
Health technology assessment is already intensively dealing with these issues, especially on the level of single interventions.
Assessments today already often includes modeling and simulation
in order to analyse longterm effects, which cannot be seen directly from data or structures. This, in turn, requiresincreasingcooperation of experts from different fields of science such as HTA, statistics, data management, modeling & simulationas well as visualisation. A common understanding on contents, methodology and terminology needs
to be developed. In Austria, such a common understanding has hardly been elaborated in a systematic way so far.
It is the main aim ofour grou to supportevidence based decisionmaking in health care byservice toolswhich helps profiting from exist
ing potentials in HTA, modeling, simulation, statistics and data analysis.
Therefore common standards will be defined in order to facilitate cooperation and interdisciplinary work.
This work is done in various projects with the Main Association of Social Security Institutions or in research projects,
like Innovative Framework for Evidence based Decision support in Health care (IFEDH) founded by The AustrianResearch Promotion Agency (FFG).
Main goal of all approaches is to define future frameworks for decisionmaking in health care.
Toachieve this goal in the future new processes for the decision support has to be developed.Especially forinfectious diseasesthisseems to behighly effective, as results so far show. The modeling process and the eneration and design of adequate modeling methods are very important.
Besides this, the model and parameter
validation as well as verification of the developed and implemented system are in focus. The data qu
ality
assessments as well as the outcome interpretation are
set up interdisciplinary, ensuring the necessary project
quality and acceptance on the part of
policymakers.
Finally all these efforts have to
be coordinated
international
. Var
ious approaches are on their way
to keep results
of m
odels and scenarios comparable, which is most
important
in the area of
decision making in health care.
One
example is the coordination of all approaches with the
Joint Modeling Goo
d Research Practices Task Force of
ISPOR (International Society for Pharmacoeconomics and Outcomes Research)
i
n collaboratio
n with The Society for edical Decision Making
(SMDM).
Their goal is to
ensure that good research practices on modeling
techniques remain useful for all current modeling techniques as well as to foster the us
e of model
-
based results to inform health care decisions