Problem-oriented management of laboratory work through dynamic test scheduling.

This paper gives an overview of problems inherent in dynamic test scheduling together with some model solutions. Dynamic test schedules are decision tree-like protocols for cost-efficient management of analytical production in a clinical laboratory. The present analysis is based on previous practical experience and concludes that it is not feasible to introduce dynamic test scheduling on a large scale without computer-based support, because of the increase in complexity of the laboratory work processes. Further, our experience is that it is extremely complex to incorporate the dynamic test scheduling functionality into an existing Laboratory Information System (LIS). The approach pursued in the OpenLabs (A2028) AIM Project for implementing dynamic test scheduling is to provide the necessary functionality as a stand-alone module interconnected with a LIS in an open systems solution.