  Many clinical workflows depend on interactive computer systems for highly
technical, conceptual work products, such as diagnoses, treatment plans, care
coordination, and case management. We describe an automatic logic reasoner to
verify objective specifications for these highly technical, but abstract, work
products that are essential to care. The conceptual work products
specifications serve as a fundamental output requirement, which must be clearly
stated, correct and solvable. There is strategic importance for such
specifications because, in turn, they enable system model checking to verify
that machine functions taken with user procedures are actually able to achieve
these abstract products. We chose case management of Multiple Sclerosis (MS)
outpatients as our use case for its challenging complexity. As a first step, we
illustrate how graphical class and state diagrams from UML can be developed and
critiqued with subject matter experts to serve as specifications of the
conceptual work product of case management. A key feature is that the
specification must be declarative and thus independent of any process or
technology. Our Work Domain Ontology with tools from Semantic Web is needed to
translate UML class and state diagrams for verification of solvability with
automatic reasoning. The solvable model will then be ready for subsequent use
with model checking on the system of human procedures and machine functions. We
used the expressive rule language SPARQL Inferencing Notation (SPIN) to develop
formal representations of the UML class diagram, the state machine, and their
interactions. Using SPIN, we proved the consistency of the interactions of
static and dynamic concepts. We discussed how the new SPIN rule engine could be
incorporated in the Object Management Group (OMG) Ontology Definition Metamodel
(ODM)
