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Article, Method and System for Monitoring and Dynamically Managing Business, Scientific and Environmental Exceptions for Laboratory Information Management Systems Disclosure Number: IPCOM000199709D
Publication Date: 2010-Sep-15
Document File: 6 page(s) / 152K

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The Prior Art Database


The Laboratory Information Management Systems (LIMS) used for experiments in scientific research projects need to process machine-generated stream of data in an unattended light-out environment. Consequently, LIMS requires an ability to monitor various exceptions and dynamically manage the exceptions without human intervention. This invention is to address this industry challenges. The key innovation of the present invention include: (1) Programmatically creating a Multidimensional Finite State Machine; (2) Dynamically updating and managing the Multidimensional Finite State Machine programmatically created; (3) Dynamically adjusting the enforcement actions based on continuous evaluation of the outcomes of earlier enforcement actions; (4) Automatically managing business or technical exceptions for laboratory information management systems that need to process machine-generated continuous streams of data in an unattended mode.

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Article, Method and System for Monitoring and Dynamically Managing Business , Scientific and Environmental Exceptions for Laboratory Information Management Systems

Disclosed is a process providing a capability for an automated monitoring and management method and system for the business, scientific and environmental exceptions anticipated during operation and management of a Laboratory Information Management System (LIMS). The disclosed process enables business rules, scientific rules and environmental variables for monitoring, detecting and managing exceptions to be administered through a natural human interface for creation and maintenance of human-readable and machine-readable rule definitions.

Modern research,


            articularly in emerging industries, typically involves use of highly dimensional heterogeneous data from various sources including text, audio,


                                               ictures, video, character strings, binary strings, rectangular, array, set, relational, hierarchical data. For example, in life sciences research in the pharmaceutical industry and biotechnology industry, multidimensional heterogeneous data come from various sources including clinical information system, diagnostic modalities, and robotic instruments and also from external reference databanks administered by and shared among a very large number of users at a global level. Timely access to current, accurate and complete data from various sources in different formats is the most critical success factor for such projects. When access to necessary data is available, delays in providing access to the data can result in additional delays, which, in turn, can result in significant economic expenses and/or losses.

Accordingly, many research teams spend significant time and effort in ensuring that they have timely access to necessary accurate and current data. Unfortunately, accessing such highly dimensional heterogeneous data in the laboratories can be cumbersome, error prone and inefficient, because the data is seldom organized or formatted in an optimal manner for a given research purpose. Further, data models and/or schemas for the data from various sources tend to change over time requiring an ongoing effort by a research team to maintain access to up-to-date reference information.

Laboratories for scientific assays in emerging sciences such as life science, health science, environmental science, material science and nanoscience need to manage and integrate highly dimensional, heterogeneous, unstructured, volatile and time-critical data which are generated by various systems including robotic instruments, modalities, sensors and actuators. Timely access to those data in a canonical format is a critical success factor for advancement in emerging sciences previously mentioned through multidisciplinary collaboration with high productivity.

An information technology solution referred to as a Laboratory Information Management System (LIMS) is used in the scientific laboratories to pro...