Unit 4 - Laboratory Techniques and their Application
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Unit 4 laboratory techniques and their application
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Unit 4 - Laboratory Techniques and their Application
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Unit 4 - Laboratory Techniques and their Application
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Laboratory techniques and their application
P7 Explain how scientific information in a workplace laboratory is recorded
and processed to meet the needs of the customer and to ensure traceability.
LIMS which is sometimes referred to as laboratory information management system which
allows for you to effectively manage the flow of samples and shared data to improve lab
efficiency. LIMS helps to systematize progress, tests, and procedures this provides accurate
control of the task.
GDPR which is referred to as the general data protection regulation is used to protect
personal data of citizens however it was passed in Europe it continues to affect businesses
all around the world. The scientific data in the laboratory can be stored on computer or in
paper form.
Usually research papers are normally stored as word format or PDF the important thing is
that any type of scientific data from the laboratory should be stored so It can be accessed
quickly and easily in the near future so a record is kept of what has been done in the
laboratory.
However for the clinical trials information such as name, address, contact details, and age
may be collected and also any other relevant information like family medical history past
substance or abuse. The start information before the trials include new medication being
tested for toxicity on a small group of human cells in the laboratory then if successful during
the clinical trials is tested on humans and after clinical trials a huge number of people are
given the medication who have the condition the medicine is supposed to treat.
And the people that are then able to see the confidential information would be the admin
team and management of the organisation and whoever has the permission to view the
private information.
P8 Explain how useful scientific information is obtained from large data sets
and the potential issues and benefits.
Firstly the large information on thousands of people need to be examined over the span of 5
years additionally it cannot be written in a notebook either so needs to be recorded in such
a way so that It can be stored and turned to in many different wats for it to be properly
examined.
Moreover specialised lab information systems are to be used for this purpose and because
of this are big business on the data management market. Traceability is also important
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