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BigData and Healthcare

Author : Alex Parker Date : May 18, 2017
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BigData and Healthcare

“Information is the oil of the 21st century, and analytics is the combustion engine”
- Peter Sondergaard

Information holds the key to a fruitful future. Accessing the past provides a smooth transition in the present and a distinctive roadmap for the future. We at Riaxe Systems have always thrived on data analysis to learn from the mistakes and utilize our successful strategies. Having implemented Big Data analytics and maintenance for handful clients, today we analyze its contribution in the healthcare industry.

Big players of the industry are joining hands to leverage the power of big data in healthcare. IBM and Apple have come together for an endeavor that allows iphone and Apple watch users to upload their clinical data to IBM’s cloud healthcare analytics service, Watson Health. Big Data Analytics in healthcare segment amalgamates clinical innovation and technology. This promising technology supports an array of healthcare functions to improve services and handle problems of the healthcare sector. Some of its uses and the issues it addresses are mentioned below.

Electronic Health Records
Every patient will have their medical history digitized and the file will be made available to medical practitioners. The file containing the patient’s medical history, geographic location and laboratory test results is modifiable. The system alerts when the patient needs to get a laboratory test done or when they deviate from the course of treatment. The advent wearable technology is going to make real-time monitoring and alerting even easier.

Predictive Analysis
This technique combines retrospective and real time clinical data to arrive at a course of treatment. This is particularly useful to patients suffering from multiple conditions and with complex case histories. Say for instance, a diabetic patient complains of numbness, the medical practitioner checks them for other potential triggers such as a stroke or aneurism. When more such cases are encountered the medical practitioner can take help of predictive analysis to figure out how a treatment would work on a particular population.

Reduce Readmissions
Patients’ returning to hospitals within 30 days of discharge is big headache for both the healthcare facilities and the families. This is an avoidable problem which can be dealt with trend analysis. Big data analysis of Electronic Health Records can highlight a set of symptoms that will force a patient to return. Equipped with this advance knowledge, the healthcare facilities can take preventable steps.

Public Health Management
By mapping Electronic Health Records to Geographic Information System data, trends in healthcare can be identified. As the vulnerable geographic location can be identified in advance, it becomes easy to plan and control the spread of the disease and make available medications and additional healthcare professionals.

Big data is transforming the healthcare industry by putting to use the enormous amount of medical data available with various agencies- R&D data available with the pharmaceutical companies, digitized patient records and clinical trial data. The result is used to predict epidemics, reduce cost of treatment, deciding the right course of treatment, and reduce risk of death from preventable diseases. In recent past it found use in epidemic control and managing emergency relief. 150,000 telephone data including voice and text data were analyzed to understand population movement during the Ebola outbreak in West Africa. The United Nations took help of big data analysis during the Haiti earthquake and the subsequent Cholera outbreak to find out about population movement and allocate resources accordingly.

Connect with us to know more about its uses and our services related to it. And if you have any more uses that you would want people to know and make use of, be sure to leave a comment below.



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