Big Data Assignment | Healthcare Assignment

Added on - 29 Apr 2020

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Running head: GUIDE TO BIG DATA APPLICATIONS IN HEALTHCAREGuide to Big Data Applications in HealthcareName of the University:Name of the Student:Authors Note:
1GUIDE TO BIG DATA APPLICATIONS IN HEALTHCAREAbstractBig data is generated everyday through communications with millions of individualsemploying GPS devices, cell phones, medical devices, sensors and data intensive aspects likehealthcare and atmospheric science. The paper focused in investigating the likely effect of bigdata on healthcare information systems. It explored that other than improving profits anddecreasing wasted overheads, in healthcare Big Data is employed for anticipating epidemics,cure disease, avoid preventable deaths and enhance life quality. It is also gathered that thehealthcare organizations on the efficiency forefront continues to gather benefits from big datathat helps them in developing value-conscious medicines and personalized treatment.IntroductionDue to information explosion, big data is deemed to be among the most discussed topicsin healthcare information systems recently. The government of US also announced initiative forbig data research and development of around 200 million in 2012.1Such initiate ensures thepossibility of employing big data within large scale database for dealing with considerableconcerns faced by the government. Big data is deemed identical to business analytical andintelligence but the data scale is larger. In such scenario, dimensions of three “v” are employedin describing big data that includes variability, velocity and volume.1Belle, Ashwin, et al. "Big data analytics in healthcare."BioMed researchinternational2015 (2015).
2GUIDE TO BIG DATA APPLICATIONS IN HEALTHCAREThere is a traditional relationship between business intelligences and healthcareinformation systems. There are several reasons that results in big data evolution and one amongthem is increase of in-memory computing.2Traditional computers encompass secondary storagedevices such as hard drives and entrap processing unit (CPU).Figure 1: Traditional Relationship between Healthcare Information Systems andBusiness Intelligence(Source:3)Transfer of data takes place among the secondary storage and the CPU during dataprocessing. This serves as an economical manner to employ computers, processing speed of the2Bello-Orgaz, Gema, Jason J. Jung, and David Camacho. "Social big data: Recentachievements and new challenges."Information Fusion28 (2016): 45-59.3Zhang, Yin, et al. "Health-CPS: Healthcare cyber-physical system assisted by cloud andbig data."IEEE Systems Journal11.1 (2017): 88-95.
3GUIDE TO BIG DATA APPLICATIONS IN HEALTHCAREcomputers is likely to be decreased. Oracle and SAP Hana develops new computer systems thatutilizes in-memory systems.4For this reason, today’s computer systems are able to deal withlarge-scale data than before. Another reason for rise in big data is social networking. Withinbusiness intelligence and traditional data mining, the data is relied on internal data developedfrom internal enterprise resource planning systems (ERP) or healthcare information systems.Such data employed in these systems are defined as structured data that is limited. Moreover,popularity of social networking is increasing for over six years that has already presented a hugeamount of big data that is helpful in data analysis. Such external data or certain unused internaldata is deemed as unstructured information. Big data includes structured and unstructured dataderived from interval unused data, external data resources and social media.5Reasons for Increased Complexity of Healthcare DataSeveral big data challenges are faced in healthcare information systems that includeinferring knowledge from difficult heterogeneous patient sources along with leveraging patientdata correlations in longitudinal records. Big data challenges are also present in understandingunstructured clinical notes in correct context.6Issues are also present in efficiently dealing with4Chen, Min, et al. "Smart clothing: Connecting human with clouds and big data forsustainable health monitoring."Mobile Networks and Applications21.5 (2016): 825-845.5Gandomi, Amir, and Murtaza Haider. "Beyond the hype: Big data concepts, methods,and analytics."International Journal of Information Management35.2 (2015): 137-144.6George, Gerard, Martine R. Haas, and Alex Pentland. "Big data andmanagement."Academy of Management Journal57.2 (2014): 321-326.
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