Question

How has “Big Data” and analytics impacted health care? Explain with at least three practical examples

Answer 1

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Here' 3 practical examples of how big data analytics has impacted modern health care:

1. Predict addmission trends of patients -

Scientists apply machine learning to capture the most accurate algorithms that can predict admissions trends.

The new sensor devices can be applied by the patients anywhere in order to monitor their state and help them avoid hospitalization. For hospitalized people, medical professionals may use predictive analytics to improve and decrease re admissions

2. To protect the privacy of patient data -

Adoption of big data in healthcare significantly enhances patient privacy and security concerns. The main reason it’s because their information is stored in data centers with different levels of security. Moreover, the data came from diverse places that bring additional risks. Despite the ways in which new technologies may be used for wrong goals, a cloud-based solution that applied big data helps to add needed security for HIPAA compliance that is unique to the healthcare industry.

3. Decrease hospital costs and queue time of patients -

Big data has captured the attention of physicians all over the world. A few hospitals in Paris uses it to predict how many patients they may expect each month. Also, scientists apply machine learning to capture the most accurate algorithms that can predict admissions trends.