Big data is explained as a way to analyze data and extract information from data sources to then analyze and send it to a more complex data set. Big data is known for revealing patterns, trends, and associations relating to human behavior and interactions in particular. Obviously, big data has drastically changed the way we manage, analyze, and leverage data analytics within healthcare.
Healthcare analytics is the idea of understanding activities as a result of collecting data from the four areas of healthcare: claims and cost data, pharmaceutical and research development data, clinical data, and patient behavior and sentiment data. These four types of data play an important role in how data is collected in healthcare. Big data in healthcare is this ongoing idea of collecting large pieces of information through digital technologies that track patients records and the overall hospital management. One of the benefits of big data in healthcare is that there are lifesaving outcomes that come along with it. Because of the new forms of digital technology every year, mass forms of data is extracted which goes a long way and therefore has proven to cure cancers, cut down costs, prevent epidemics, which all leads to lives being saved. Within this article, the saying they tend to follow "prevention is better then cure" comes from the experience they have from collecting big data." With humans living longer nowadays, doctors have proven it to be successful getting to know their patients at an earlier stage rather then waiting until something goes wrong. Luckily, by using the digital technologies to gain insight and other information about the individual, they were able to "prevent" instead of "cure". I think this shows how important big data is in the real world. After reading this brief story in a hospital setting, it is evident how much collecting big data can help in eventually saving lives of humans.
Healthcare has eight-teen different examples of big data; however, two of these concepts jumped out to me. Firstly, using health data for informed strategic planning. This form of data explains how workers can analyze data from any demographic area to pull up information based on a patient to see why he or she is not taking their treatments. This is important because it caused works to give motivation to patients based off of the information they received. Secondly, big data might just cure cancer. This piece of data related back to the topic of data being able to cure cancer. Medical researchers can find trends and patterns in data that can help find ways to prevent cancers. By using this data, researchers are able to compare different data sets that have certain mutations and cancers to then come up with new solutions to eliminate the cancer completely.
Clearly, big data in healthcare has many different roles and the end goal is to find new and easy solutions of eliminating cancer. They have found the use of digital technologies to collect big data extremely successful.
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.