The concept of picture archiving and communication system (PACS) appea
red in 1982. Twelve years later most PACS prototypes still do not sati
sfy the medical community requirements: too much emphasis has been put
on technical solutions and little effort devoted to the management of
images itself. A common approach to this problem is needed more than
ever to allow cost-effective systems to be developed. Modelling is a w
ay to reach this objective, and the MIMOSA topic within the AIM/EurlPA
CS project aims at defining such a model of medical image management.
This paper presents the MIMOSA approach with the three underlying cons
traints, i.e. genericity, implementation independence and performance.
The MIMOSA group is building three interrelated models: a data model,
a functional model and a dynamic model. However, in this report we fo
cus only on the functional model, and explain how it was abstracted fr
om various clinical scenarios in the first phase of the project. The a
vailability level concept is introduced as a customizable and implemen
tation independent solution to the problem of managing the delay of ac
cess to the information. The so-called contextual diagram and the acqu
isition of a new examination which are two representative parts of the
model are detailed. The validation aspects and the relationships to p
rojects working on the management of patient records are addressed as
a conclusion.