Skip to main content

Post 9: (Question 10) Study of Big Data in Medical Science

Making use of big data analysis within the healthcare sector has had an incredibly positive outcome and has also saved many lives over the years. When big data is applied to the healthcare sector it uses the specific health data of the population or individuals to potentially aid in preventing epidemics, curing diseases as well as cutting costs to healthcare in general. The most common and widespread use of big data in medicine is in the use of patient records as each patient has their own individual record which will include the patients medical history, their demographic, allergies, test results received from the labs to name a few. These records are shared through incredibly secure information systems and are available to those in the private and public sectors. The files can be modified by a doctor via a modifiable file which ensures that there's no issue with data replication. Another use of these patient records are that they can also alert or trigger warnings/reminders when a patient is due to receive lab results, when their prescription is due for renewal and also to see if patients have been following their doctors' orders. 


Comments

Post a Comment

Popular posts from this blog

FutureLearn Week 2: Post 1 of 4

Open data has been increasing for some time now with data being made open on various sites globally. There are many advantages to having open data, these advantages include being able to share public data sets so that they can be compared. These open data sources can also be used for environmental purposes or even health issues. Disadvantages of open data would include the fact that the site providing the data would be inherently biased and formed in the opinion of the creator.
Post a Comment
Read more

FutureLearn Week 2: Post 3 of 4

Two of the biggest challenges of big data is Analysing and Visualising the data. Firstly with analysing the data, the size of big data files can sometimes be substantial, there are many things that must be considered before downloading the data, for example the file size, how long the data file will take to download, will all of it be necessary or will part of the file suffice and is there enough storage space within the system itself. Visualisation is way to represent the data in a way that is easier to understand such as word clouds and things of the like. This will aid users in seeing the prominent and key terms from the analysis of the data sets. The first step after downloading the data would be to quality check it to ensure that each field had the appropriate data types in each field and to ensure that the user understood the meaning of each field. Keeping a copy of the original data would be essential as well as each documented version change for each stage of visualisation....
Post a Comment
Read more

FutureLearn Week1: Post 3 of 3

In the video for futurelearn activity 3 it was discussed how big data can help in industries. With regard to the retail industry, retailers around the world are making use of big data to aid them in understanding their customer base and managing the supply. The advertising industry makes use of big data for online advertising, real-time buying and selling. 
Post a Comment
Read more