Quick and easy access to information makes research projects flow more smoothly. The single largest expense line for most prescription drug companies is research and development. It requires millions of dollars of investment to get a single drug ready for human trials. In addition to the cash outlay, the process also requires a considerable investment of time. It is not uncommon for it to take five years or more to get a drug out on the market.
Anything that helps minimize development time translates directly into cost savings for the research company. Genomics and proteomics form the basis of some of the most cutting edge research. Wasting time on studies already completed in other parts of the world costs companies a lot. Plus, research performed on similar projects often provides insights into parallel lines of research. Access to an extensive biomedical database can cut down on research time.
An extensive biomedical database contains articles and published papers in the field, from a variety of different sources. The database compiles abstracts and research results in one place, allowing for easy searching and up–to–date information on biomedical topics. Researchers with access to the most current information do not waste time going down the same paths that have proved unsuccessful. Instead, researchers are able to use that information to change the focus of an experiment to find out new information.
Developing drugs for human use requires years of research into possible side effects and clear documentation of the benefits. The Food and Drug Administration in America carefully monitors every drug and its intended use. Manufacturers must provide detailed information about the best use of the product and any known negative interactions. Even when a drug has the potential to save thousands of lives it must still go through the same stringent certification process. The FDA does not allow drug companies to release products without reasonable assurances that they will do minimal harm when compared to the benefits. Researchers need every leg–up they can possibly get when looking into the human genome with genomics and proteomics.
Another great option to cut down on time spent on each research project is the use of analytics. Businesses use analytics for financial data all the time, but it has applications in research as well. Data analysis can provide a probable direction for research and areas where focused time will produce the best results. Using a combination of data points collected from the entire industry, prescription drug research companies can locate holes in the market. There are always underserved populations that need targeted options. Data aggregation also allows patterns to become clear.
For example, it has only been in the last couple of decades that doctors realized ethnicity played a part in the effectiveness of certain drugs on certain patients. With better data analysis and collection systems in place, the connection could have been made more quickly, allowing more effective treatment. Analytics provide the opportunity to quickly and easily generate biomedical databases with known genomes and proteins. Easy access to genomics and proteomics information makes drawing conclusions about shared traits much easier and faster.
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