Case Study: Automated Retrieval and Processing of New Drug and Disease Data
Automated retrieval and processing of new drug and disease data streamlines analytic workflows
Monitoring biomedical literature for new disease and drug information is a crucial task for pharmaceutical companies, but it can be repetitive and time-consuming. Information managers at one global pharma firm turned to Elsevier’s R&D Solutions Professional Services team to automate part of the process.
Information managers at a global pharmaceutical company are tasked with monitoring the biomedical literature for new information about diseases, drug targets and drugs. Embase, the research solution they use for monitoring, is very effective for finding the relevant information, but they must regularly spend hours submitting and processing repetitive queries when they would prefer to use their time analyzing the literature.
Knowing that Elsevier’s R&D Solutions Professional Services team specializes in helping out with customized data integration and analytics, search design, text mining support and other tasks, the company contacted the team to see if they could help. The Professional Services team was able to design an automatable query that runs at regular intervals through the Embase application programming interface (API), retrieves the needed information and stores it in a central database where it can be accessed and used in their analytics workflows.
"Automating certain data processing tasks frees experts to do analytical work that is worth more to the company."
The company is very pleased with what Elsevier’s R&D Solutions Professional Services team was able to do to help the groups involved in literature monitoring. They now have more time for tasks that add greater value. Furthermore, the automated solution also helped to streamline search processes and de-silo information.
"The Professional Services team combines customer domain knowledge, in-depth knowledge of Elsevier content and data integration expertise to deliver greater value."
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