Why is Data Analytics So Important in the Healthcare Industry?

Big data analytics is reshaping many industries at a rampaging pace that only technology could have made possible. In this break-neck landscape in the analytics market, we see traditional sectors like agriculture, manufacturing, automotive, shipping and mining, and education completely transformed. One sector that probably has been the biggest revenue generator in the next five years would be healthcare. A part of that successful run could be attributed to the rise of Big Data analytics and intelligence in healthcare. Analytics training in healthcare is not hype—it’s a real phenomenon worth $27 billion in 2020.

Make Healthcare Digitally Transformed

In healthcare, big data analytics involves the use of various Data Management tools and techniques with the planned application of emerging technologies like the Internet of Things (IoT), Artificial Intelligence and Machine Learning. Clearly, big data has paved the way for the healthcare business to sprout new techniques like Automated Patient care, disease mitigation, epidemic control and predictive intelligence for cancer and degenerative nerve disorders.

Analytics training in the big data industry for healthcare can be successfully implemented in the following areas—

  1. Patients Management and Staffing in Healthcare facilities
  2. Electronic Health Records
  • Diagnostic Tests
  • Medical History
  • Demographic Data
  1. Clinical Decision Support (CDS) for an emergency with real-time alerting
  2. Patient Engagement with Wearable technology
  3. Predictive Analytics
  4. Pharmaceutical Conventions and Telemedicine
  5. Radiology and Medical Imaging

The goal of Big Data Analytics in Healthcare

The primary goal of the data analytics training is to involve all stakeholders in the industry and make them aware of the advancements in technology around data. It could help doctors identify critically ill patients and plan their health management in advance with predictive intelligence. Historical data based on previous medical files could be studied quicker with machine learning algorithms turning readable text into valuable data.

Of course, big data analytics in healthcare is also crucial for insurance companies who find answering to patient’s queries at the last moments of their treatment.

With analytics training for Insurance agents in healthcare, Insurance companies can save millions of dollars every year by preventing malicious cases from taking advantage of the policies.

Fraud and Cyber-security Mitigation with Big Data

In digital transformation journeys, data privacy and data management remain the highest priority for any industry. Even in healthcare, according to leading studies, patients’ data are exposed to consistent cyber threats and privacy breach. In order to prevent cyber crimes from furthering their web into the deeper trenches of healthcare data, big data analytics would play a much greater role than in any other sector.

Big data analytics destinations

For the healthcare sector, India and China remain the top destinations for big data analytics companies to invest their resources and technical expertise. Companies like GE, SIEMENS, Philips Health, Oracle, IBM Watson and many more are establishing their presence, supported by academic institutions and service providers. With better clinical and drug data analytics training, healthcare sector stands to make a significant leap by 2020 and beyond.

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