The Global Lab Automation in Clinical Diagnostics market is valued at USD XX . XX billion in 2016 and is expected to reach a value of USD XX . XX billion by the end of 2022 , growing at a projected CAGR of XX . XX % during the forecast period of 2017 – 2022 . With the advent of technology , automation is now possible in multiplex testing , in addition to activities like microplate automation . Newborn screening is another field where extensive use of automation combined with software packages to identify complex metabolites is employed . In this immensely competitive world , squeezing the maximum efficiency out of every department , including the R & D labs , is a constant issue .
Automation of routine laboratory procedures , by the use of dedicated work stations and software to program instruments , allows associate scientists and technicians to think creatively about implications of their experimentation and to design effective follow-up projects or develop alternative approaches to their work instead of spending their days performing tasks of tedious repetition .
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Clinical diagnostics involves testing a wide variety of samples ranging from blood to DNA . This requires a significant level of automation in order to achieve the required results consistently . Multiplex testing is the norm of the hour with an emphasis being laid on increasing the number of assays analyzed per unit time .
Apart from the reduction of mundane and tedious tasks , the market is also driven by the need for consistent quality as the cost of an error is very high , in a scientific paper or developing a drug . Even fairly low error rates can have a profound impact on the conclusions you make . By taking out the human element , more consistency is achieved . Great advances have been made in the molding of plastics thereby , enabling handling of smaller liquid volumes , which have also reduced the volumes of reagents being used and development of micro and nano-litre plates to fit in with the automated liquid handling equipment .
Major points in modern life science are validation and data quality ; legal validation , patents and clinical testing have become crucial issues . Automation enables a much higher reproducibility , better documentation of data , and allows the production of more data points with great ease . It also ensures the safety of personnel in the presence of infectious or potentially hazardous material .
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