Introduction to Big Data in Medicine
Big data can be explained as a very huge sets of figures that are not possible to analyse humanly and the machine or computer system help is taken to reveal patterns and of any data set. The big data can play one of the major role in the field of the medicine, with introduction of big data in the field of medicines one can help in building up better health profiles and better diagnosis of the patient in recent futures. Further some of the major back logs that lies in the field of medicine today is the understanding of the disease and the syndromes of the same. Big data comes in action as it helps in storing huge amount of the data like the information about the DNA, tissues, proteins, and metabolites to cells, organs, and organisms (Gandomi, Amir and Murtaza Haider 2015). This paper mainly focuses in the five main factors of the big data that have been helpful in understanding the mission of the big data in medical industry namely the Volume, Velocity, Variety, Veracity, Value. This paper explains in detail about the five major V’s of which are proven to be very much useful for the medicine industry.
The five V’s. of the big data that is volume that is the quantity of the data that is stored in the computer, the velocity that is speed of the data in which it gets stored and are used. While the veracity can be said as the accuracy of the data that is stockpiled in the systems while value of the big data is measured as the how much the data is important for a specific task (Gray, Muir 2017). The big data can be one of the most useful technology that can help medical industry to develop a lot in the future. As the health care industry has already generated a huge amount of data in the past years and much of which is stored in the hard copy. With digitalisation of the world these data are stockpiled in the softcopy and has become a huge task to decode all the files. The use of the big data can help in analysing of these raw data file and use them for the betterment of the treatment of the patients (Groves et al. 2013). The major factors that can be helpful in understanding the use of the big data are:
The Five V’s of Big Data for the Medical Industry
The primary value for the use of big data within the healthcare sector is mainly limited to the field of research. The technology of big data requires the use of a specialized form of skill set. Most of the organizations based on healthcare require the use of data scientists in order to manipulate the data and extract the useful data from a vast library of the environment of big data. There is a vast demand of the use of data scientists across the sector of healthcare. The value based healthcare is capable of putting higher value of demand on the ability of recording and monitoring the use of data (Radaelli et al. 2014). This data is mainly regarding the specific symptoms, conditions, procedures and the quality of the result. As the traditional methods have become outdated in the recent times, hence the modern technology has largely created the need to progress towards a value based perspective within the healthcare sector. The value based system would mainly focus on the outcome of the health of the patients depending on the amount of the money spent (Raghupathi, Wullianallur and Raghupathi, 2014). This kind of system encourages the approach, increase of the satisfaction and the quality within the healthcare sector. The value based healthcare system would be helpful in putting a higher demand on the ability to keep a track of the record and thus would be able to monitor the use of the data. This data would be in relation with the symptoms and specific conditions. The use of big data would help in adjusting the various accounts of several patients for different results that would depend on the health and age of the patient among several other factors. With the successful introduction of the big data within the healthcare sector, there would be more level of positive benefits beyond the domain of medical care. The clinical based researchers that would include the medical technologies and the use of pharmaceuticals would have several benefits based on the value based approach of big data within the industry of healthcare (Uddin, Fahim and Gupta 2015). The use of the applications of big data would help in registering the historical data of the patients in relation with the patient based on a specific condition and diagnosis of their health.
As mentioned above in this paper, medical industries have already stored huge amount of data in the recent past and with the coming time amount of data are increasing as knowledge about the human bodies, medicines, structure of the bio ticks are incising. The use of the technology like the robots and the artificial intelligence are coming into existence are also increasing the amount of data. All these data can be very usefully stored by with help of the concept of big data. The volume of data can really important as because big data has huge volume of the data can be properly analysed and more accurate results can be made which are not possible for the human beings. Such as using the technology certain syndromes of a patient can be better analysed as the information are taken from huge clusters of data, that are not possible for the human beings to store or memorise in mind. This is one of the major factor where it has helped the medical industry (Patil, Kupwade and Seshadri 2015). Other than this the data are automatically stored automatically which reduces the human efforts and the errors that are made by the humans. Also the storage space and cost are reduced. Further the use of a centralised system can help every sector of medical industry like the hospitals, pharmacies and pathologies. The aggregate of the collected data of the patients would lead to clinical based improvements. Additionally they would also withdraw the ability to understand effectiveness use of big data within healthcare (Belle et al. 2018). With the help of the use of big data, the people would be able to access records of data of their health. Since the people would be able to access the information, hence this would help in providing a better incentive for gaining much better results. The use of big data would also play a major role to increase the quality of healthcare of patient, minimize losses within the industry and thus reducing the various costs of healthcare.
Value-Based Healthcare and Big Data
Velocity one of the other major plus point of the system of big data in field of the big data. The speed of the uploading and downloading the huge amount of data matters a lot in the field of the medical industry (Thota et al. 2014). Even a fraction of second can be helpful for the medical industry. Velocity is one of the defining point of big data. Suppose example a patient’s data is uploaded from various hospitals and of various symptom (Srinivasan, Uma and Arunasalam 2015). At a time of emergency with the use of the big data all the information from different sources can be merged up together and the most accurate result gathered with the assistance of the big data (Wang et al. 2018). The use of the Artificial intelligence and internet of things can also be helpful as it can process the big data in small amount of time with proper accuracy.
Varity of data are the toughest thing to be calculated by the humans in the field of the medical industry. It can be tough for anyone to handle huge verity of data. Also one of the major problem is that the variety of the data are not always right and are sometimes wrong. While the meaning full data comes in different shapes and sizes (Archenaa and Anita 2014). It becomes at ease with big data to calculate the amount of data effectively (Bates et al. 2013). When data are not stored in a centralized system it becomes harder to analyse all data accurately. But with help of big data concept and using same with centralised database system, all the data can be used and processed at same time and hence not only reduces space of storing data but also increases efficiency of data. Although many professionals debate that the actual meaning of big data is not really related to its bulkiness, at all but can help in the process of analysing variety of the data.
Veracity is considered to be one of the five V’s that is mainly used for the description of the use of big data in healthcare sector (Murdoch et al. 2014). This term refers to the preconceptions, abnormality and the noises within the data. The veracity of the data could be simply understood as the truthfulness of the data. The veracity, which could also be referred to as the quality of the data, normally refers to the fact that the analysis on the provided data would be free of any kind of errors and highly credible (Sun et al. 2014). This data should be reliable, trustworthy and accurate. The normal meaning of the term veracity is accuracy. Thus in terms of big data, veracity can enlightened as the amount of raw data which is accurate. The correctness of the data is one of the major factor in terms of big data. If wrong data is processed then it can be very much dangerous and can become fatal for the students. The machines plays an important role in this part (Heitmueller et al. 2014 ). The machines are coded in such a way that it uses the knowledge of machine learning to better understand the idea of correct data.
Advantages of Using Big Data in Medicine
In order to improve the veracity of the data, the clinical approach should be able to focus on the use of the various methods, results and the discussion of the data within the healthcare sector. Different kinds of the data of the same patient might be able to specify that veracity within the data is deficient and there could be a fault within the analysis of the information.
Conclusion:
Thus concluding the topic it can be said that big data is one of the most advanced and important technology that is being used in the medical filed. There lies some of major advantages as well as disadvantages of the system. Some of the major advantages of the system are:
Higher quality care: The major advantage of using big data is because it draws a various number of sources, which includes number of doctors, previous diagnoses and other outside source systems. With all the data merged up in one place it can help in better analysing of data.
Early intervention: With better diagnosis, diseases can easily be diagnosed and major diseases can be prevented in an early phase of the disease.
Fraud detection: If there is any case where doctors are making error in treating a patient can easily be diagnosed with help of big data.
Some of the major disadvantages of using big data in medical industry are:
Privacy: As all the data are centralised hence a simple breach can publicize all the data.
Lack of technicians: Big data needs a lot of technical knowledge and hence a need of technician is a mist and hence can be a disadvantage at certain point if no technician is present.
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