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Application of Big Data in the Health Sector

Application of Big Data in the Health Sector – Big Data is a term that describes the huge volumes of data both structured and unstructured , which overwhelm the everyday business. But it is not the amount of data that matters. What organizations do with that data is what matters. Big data can be analyzed for the sake of understanding that leads to better strategic business decisions and movements.

The concept of Big Data has been around for years; most organizations now understand that if they capture all the data flowing into their business, they can apply analytics and get significant value benefits from that data. However, the new benefits brought by big data analysis are speed and efficiency.

The Importance of Big Data

1. Cost reduction. Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data, plus they can identify more efficient ways of doing business.
2. Faster, better decision making. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new data sources, companies can analyze information immediately and make decisions based on what they have learned.
3. New products and services. With the ability to measure customer needs and satisfaction through analytics, comes the power to deliver what customers want.

Application of Big Data in the Health Sector

1. Hadoop Technology for Monitoring Patients’ Vital Conditions

Several hospitals around the world have used Hadoop to help their staff work efficiently with Big Data. Without Hadoop, most healthcare systems would be almost impossible to analyze unstructured data.

Children’s Healthcare of Atlanta cares for more than 6,200 children in their ICU units. The average duration of stay in the Pediatric ICU varies from one month to one year. Children’s Healthcare of Atlanta uses bedside sensors that help them keep track of patients’ vital conditions such as blood pressure, heart rate and breathing.

This sensor produces huge amounts of data, and the old system was unable to store that data for more than 3 days due to storage cost constraints. Even though this hospital needs to keep these vital signs for analysis. If there is a change in pattern, then there needs to be an alert for a team of doctors and other assistants. The system was successfully implemented by using the Hadoop ecosystem components. The goal: reduce emergency room visits and hospitalizations for asthma-related events in children.

2. Valence health: improving service quality and reimbursements

Valence health uses Hadoop to build a data lake that is the primary storage of enterprise data. Valence processes 3000 inbound data feeds with 45 types of data every day. This critical data includes lab test results, medical record data, prescriptions, immunizations, medications, claims and payments, as well as claims from doctors and hospitals, which are used to inform decisions in increasing whether it is income or reimbursement. The rapid growth in the number of clients and the increase in the volume of related data are further weighing on the existing infrastructure.

Before using big data, it took them up to 22 hours to process 20 million records of laboratory result data. The use of big data cuts cycle times from 22 hours to 20 minutes, using much less hardware. Valence Health is also able to handle customer requests that were previously difficult to complete.

3. Hadoop in the Treatment of Cancer and Genomics

One of the biggest reasons why cancer has not been eradicated until now is that it mutates in different patterns and reacts in different ways based on one’s genetic makeup. Therefore, researchers in the field of oncology state that to cure cancer, patients need to be given treatment tailored to the type of cancer based on the genetics of each patient.

4. UnitedHealthcare: Fraud, Waste, and Abuse

Currently at least 10% of Health insurance payments are related to false claims. Worldwide the case is estimated at a value of billions of dollars. False claims are not a new problem, but the complexity of insurance fraud seems to be increasing exponentially, making it difficult for health insurers to deal with it. UnitedHealthCare is an insurance company that provides benefits and health services to nearly 51 million people. The company works with more than 850,000 health workers and about 6,100 hospitals across the country. Their Payment Integrity group/payment integrity division has a duty to ensure that claims are paid correctly and on time.

5. Liaison Technologies: Streaming System of Record for Healthcare

Liaison Technologies provides cloud-based solutions to assist organizations in integrating, managing, and securing data across the enterprise. One of the vertical solutions they provide is for the healthcare and life science industries, which must answer two challenges: meeting HIPAA requirements and addressing the growth of data formats and representations.

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