A convergence of concepts has allowed clinical laboratory automation to proceed in a greater number of laboratories: developing automation control interfaces, direct track sampling, and adopting a universal interface. The laboratory automation system (LAS) must interface to the laboratory information system (LIS), which provides the information necessary for routing and scheduling and for future rules-based processing, an important component of the LAS. The automation system also must operate in a real-time or near real-time environment and use the single tube per carrier paradigm. LAS capabilities should span the clinical laboratory and run parallel to the LIS with respect to information flow. The laboratory automation software will control the automated technology and the transportation system that binds clinical laboratory instruments together. It must be able to both drive the hardware components and interface with patient information sources, and it should further the goals of the health-care delivery system by supporting outcomes optimization and utilization management of laboratory resources. The development of workcells based on disciplines such as chemistry or hematology is having and will continue to have a significant effect on the acceptance of clinical laboratory automation technologies.
|Original language||English (US)|
|Number of pages||5|
|Journal||Clinical laboratory management review : official publication of the Clinical Laboratory Management Association / CLMA|
|State||Published - 1998|
ASJC Scopus subject areas
- Leadership and Management