The Impact of Big Data Management in Health and Healthcare Management

This article discusses the impact of big data management in healthcare and IoT in healthcare. It covers the advantages, challenges, and potential applications of big data and IoT in healthcare, including real-time remote monitoring, smart pills, diabetes management, blood pressure monitoring, and Fitbit.

Running head: BIG DATA IN HEALTH CARE
The Impact of Big Data Management in Health and Healthcare Management
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Table of Contents
Question 1..................................................................................................................................2
Question 2..................................................................................................................................4
References..................................................................................................................................6

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Question 1
Impact of Big Data in Healthcare
The big data is the voluminous amount of unstructured, semi structured and structured
data, which could be easily mined for information. There are 3Vs in big data, which are
extreme volume of the confidential data, variety of the data types and finally velocity of the
data that is to be processed (Andreu-Perez et al. 2015). Big data is eventually created by
proper interactions of several people with the help of GPS devices, medical devices,
computers, sensors, cell phones and the data intensive areas like genome research or medical
field. The real use cases, advantages, future challenges of the big data are responsible for
bringing major changes within the environment of healthcare. The major area of genetic
mapping is easily enhanced with this technology (Raghupathi and Raghupathi 2014).
Moreover, the unprecedented development for software technologies and processing power
like Hadoop is allowing the users to make relevant decisions, which could be extremely
important and significant for these users.
There are five distinct ways of big data changing the healthcare and these are as
follows:
i) Right Living: The first and the foremost way of big data changing healthcare is by
providing right living. The big data could be helpful for the patients in taking an active role
within their own health like diet, exercise as well as medication in adherence for taking
proper control of the health.
ii) Right Care: The big data could improve the results and reduce medical errors.
Moreover, the application of big data would facilitate the evidence based care for patients
(Groves et al. 2013).

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iii) Right Provider: The most suitable medical care is provided by big data for
fulfilling the various requirements of the patients as well as enabling the assessments of the
providers.
iv) Right Value: The cost effective healthcare with several methodologies like
patient-outcome reimbursements as well as elimination of frauds and wastes.
v) Right Innovation: The final impact of big data could bring innovation in
healthcare. Amongst these, the therapeutic innovation discovery is the major innovation. The
data use and analysis of current data trends are also enhanced here.

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Question 2
Impact and Use of IoT in Healthcare
The five major impacts of IoT in healthcare are given below:
i) Real Time Remote Monitoring: The real time monitoring of the patients is possible
with IoT. These devices could transmit the signals from anywhere and hence the total time
for patient care s reduced.
ii) Smart Pills: These pills have the properties of monitoring the health issues as well
as medication controls (Thota et al. 2018). The smart pills dissolve in the patient’s stomach
and then transmit the signal to the sensor that is worn on body.
iii) Diabetes Management: Another important advancement of IoT in healthcare is
CGM or continuous glucose monitor as well as insulin pump. The computer deciphers
confidential data that is transmitted from continuous glucose monitor and then eventually
controls the insulin pump for putting the adequate insulin amount within the blood.
iv) Blood Pressure Monitoring: It is a Bluetooth enabled coagulation system that
helps in monitoring the speed of the blood coagulation for each and every anticoagulated
patient. Hence, the sensor present within the system could be utilized for monitoring the level
of blood pressure for patients, who are suffering from hyper tension.
v) Fitbit: The fifth significant wearable computing device is Fitbit, a fitness band that
is being worn on patient’s wrist and the physical activities are tracked (Gope and Hwang
2016). The heart rates and sleep quality are checked by this device.
These above mentioned devices of IoT could be used and integrated in healthcare.
The technology could be set for transforming the industry of healthcare and there are several
potential applications like remote monitoring and medical device integration. IoT allows the

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electronic devices for capturing and monitoring data for connecting these to cloud. Several
big data based healthcare analysis are present that use IoT devices for the efficiency. Real
time alerting and Telemedicine are the best examples of such devices (Tyagi, Agarwal and
Maheshwari 2016). The mobile applications of IoT for healthcare are continuous glucose
monitor or CGM and blood pressure coagulation.

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References
Andreu-Perez, J., Poon, C.C., Merrifield, R.D., Wong, S.T. and Yang, G.Z., 2015. Big data
for health. IEEE J Biomed Health Inform, 19(4), pp.1193-1208.
Gope, P. and Hwang, T., 2016. BSN-Care: A secure IoT-based modern healthcare system
using body sensor network. IEEE Sensors Journal, 16(5), pp.1368-1376.
Groves, P., Kayyali, B., Knott, D. and Van Kuiken, S., 2013. The ‘big data’revolution in
healthcare. McKinsey Quarterly, 2(3).
Raghupathi, W. and Raghupathi, V., 2014. Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), p.3.
Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R. and Priyan, M.K., 2018.
Centralized fog computing security platform for IoT and cloud in healthcare system.
In Exploring the convergence of big data and the internet of things (pp. 141-154). IGI Global.
Tyagi, S., Agarwal, A. and Maheshwari, P., 2016, January. A conceptual framework for IoT-
based healthcare system using cloud computing. In Cloud System and Big Data Engineering
(Confluence), 2016 6th International Conference (pp. 503-507). IEEE.