1 research outputs found
Design Verifiably Correct Model Patterns to Facilitate Modeling Medical Best Practice Guidelines with Statecharts (Technical Report)
Improving patient care safety is an ultimate objective for medical
cyber-physical systems. A recent study shows that the patients' death rate can
be significantly reduced by computerizing medical best practice guidelines. To
facilitate the development of computerized medical best practice guidelines,
statecharts are often used as a modeling tool because of their high
resemblances to disease and treatment models and their capabilities to provide
rapid prototyping and simulation for clinical validations. However, some
implementations of statecharts, such as Yakindu statecharts, are priority-based
and have synchronous execution semantics which makes it difficult to model
certain functionalities that are essential in modeling medical guidelines, such
as two-way communications and configurable execution orders. Rather than
introducing new statechart elements or changing the statechart implementation's
underline semantics, we use existing basic statechart elements to design model
patterns for the commonly occurring issues. In particular, we show the design
of model patterns for two-way communications and configurable execution orders
and formally prove the correctness of these model patterns. We further use a
simplified airway laser surgery scenario as a case study to demonstrate how the
developed model patterns address the two-way communication and configurable
execution order issues and their impact on validation and verification of
medical safety properties.Comment: full version, 14 page