The Potential Benefits of Integrating AI with LIMS
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The Potential Benefits of Integrating AI with LIMS

By Pharma Tech Outlook | Monday, September 23, 2019

The incorporation of AI into LIMS will equip laboratories with enhanced capabilities, enabling better data retrieval and laboratory diagnostics.

FREMONT, CA: The emergence of the laboratory information management system (LIMS) has transformed the pharmaceutical industry, enabling organizations to process numerous lab samples and streamline the laboratory workflow. It has bolstered the capabilities of laboratories with robust decision support and decision making. The integration of artificial intelligence (AI) with LIMS will enable organizations to resolve many of the challenges in the industry.

A vast amount of data is gathered from the multiple tasks performed on a daily basis in clinical laboratories. The data has to be stored and recorded in an orderly manner to track useful information. LIMS leverages structured query language (SQL) and relational databases for booking patients, storing information, retrieving test results, generating and printing reports.

As data increases, pharmaceutical organizations are faced with the need to add new capabilities to the LIMS. The incorporation of AI technology into LIMS will enable organizations to simplify and streamline processes such as planning, logistics, quality control, information retrieval, and tracking disease behavior, monitoring clinical parameters, epidemic data management, and so on.

AI technology in LIMS will also pave the way for the implementation of voice-controlled operations in the sector, including image processing for identification of tags, character identification in medical records, patient history tracking, and several other functions. It will also enable organizations to retrieve information from precise databases using imprecise criteria.

Data retrieval can be enhanced by using AI. Traditional LIMS leverages relational databases for data retrieval. However, most of the conventional processes are limited in their capabilities when extracting valuable information. The utilization of AI techniques will enable organizations to obtain imprecise data.

The incorporation of AI into LIMS equips pharmaceutical laboratories with enhanced functionalities, including epidemiologic applications, and follow up and evaluation of tests. It can bolster clinical diagnostics. Whenever the results are out of range, the laboratories conduct subsequent tests under similar conditions to evaluate the accuracy. AI-backed LIMS can leverage the SQL queries to assist the decision making during diagnostics.

The conventional LIMS has brought innovation and positive change to the clinical sector, enabling seamless storage and retrieval of information from relational databases. Organizations can broaden the applications of LIMS by bolstering it with the capabilities of AI, utilizing it for clinical diagnostics and enhanced data retrieval. 

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