7 Big Data Use Cases That Enhance Healthcare Field

As per a recent study by the Center for Disease Dynamics, Economics & Policy (India) and Princeton University...India has approximately 19 lakh hospital beds, 95,000 ICU beds, and 48,000 ventilators.

With India registering the highest single-day spike of 9,987 COVID-19 cases in the last 24 hours, the country has now stacked up over 1.3 lakh active COVID-19 cases, with deaths inching towards the 7,500-mark.

The COVID-19 curve shows little or no sign of flattening and epidemiologists are predicting that the peak of the pandemic in India is yet to come.

With the world’s most stringent lockdown now opening up, India has emerged as the fifth worst-affected nation globally, after the US, Brazil, Russia, and the UK.

Against these daunting statistics, and with the fragile healthcare system in India already pushed to the brink, we see how India’s healthcare system stacks.

The healthcare industries has been making rapid strides with respect to the cost and quality of care, increasingly fueled by extensive digitization of healthcare systems, world over.

These data are produced largely from various electronic health records (EHR) and biomedical data of patients.Request Brochure – https://www.transparencymarketresearch.com/sample/sample.php?flag=B_id=54597Advances in genomics, epigenomics, transcriptomics, proteomics, metabolomics, and pharmacogenomics, have contributed from the staggering rate of medical data generation.

Some of the other capabilities of big data analytics are providing analytical capability for patterns of care, decision support capability, reducing waste, and enhancing care delivery.The report offers evidence-based findings on the currently prevailing opportunities in various application segments, new frontiers in medicines, and key research and development activities.Request COVID Analysis on Big Data Analytics in Healthcare Market –  https://www.transparencymarketresearch.com/sample/sample.php?flag=covid19_id=54597Global Big Data Analytics in Healthcare Market: Trends and OpportunitiesHealthcare organizations world over are focused on leveraging the potential of these big data analytics technologies to enable them to provide best care and services for patient populations.

However, in recent years, helped by data mining techniques and advances in healthcare IT infrastructure, the market for big data analytics in healthcare has been making large leaps in recent years.

In addition, there has been rising use cases of big data analytics in various biosciences applications, especially for drug discovery and genomic sequencing.

The growth in the big data analytics in healthcare market is also fueled by the growing focus of health policy makers on developing cost-effective models of healthcare services for worldwide populations.Request Customization on Big Data Analytics in Healthcare Market Report –https://www.transparencymarketresearch.com/sample/sample.php?flag=CR_id=54597Global Big Data Analytics in Healthcare Market: Regional OutlookThe report offers an incisive analysis of prevailing avenues in key regions and imminent investment pockets in emerging big data analytics in healthcare market.

If you are already aware of the potential of Big Data you obviously will agree on its promise for the healthcare sector. Actually, healthcare as an industry consists of several disparate systems that produce a wide variety of voluminous data. Can you imagine any hospital these days without a lab and a clinic without its EMR, CRM, and ERP systems? Well, this diversity of systems and their handling of data is where we can visualize the promise of Big Data. Let us have a deeper look into the state of data reality and the question of Big Data integration in the healthcare sector.

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The evaluated results further help in enhancing decision making capacity of these enterprises.

By recording disease outbreaks and analyzing disease patterns, big data analytics approach can improve public health issues.

Large quantity of data help in determining needs, offering required services, and predicting & preventing future crises.

Big data analytics approach also helps in evaluating standard medical data, structured or unstructured, for predicting patients at risk and providing them with effective care.Drive toward electronic medical records, coupled with favorable government policies has further driven the adoption of big data analytics in healthcare sector.

However, majority of medical professionals lack the skill set needed for leveraging information offered by the big data analytics, which continues to be a major restraint for growth of the market.

Government and healthcare organizations are therefore focusing on proper training of professionals for making them capable of utilizing the data obtained in a meaningful manner for better drafting of healthcare policies and improving patient outcomes.Fact.MR’s recently compiled report estimates the global market for big data analytics in healthcare to register an outstanding expansion during the forecast period (2017-2026).

An intricate net of different databases covers every aspect of the industry - from logistics to the genome structure.

These workflows depend on data to be useful: test results, previous researches, background checks, etc., which precisely where the adoption of advanced data science methodologies can help.

Overall, the job of the Data Scientist in healthcare covers the following fields:

Working with key business leaders to understand the needs and what kind of analytical data is necessary;

Providing contributions to Public Health Datasets;

Providing data analytics for various applications;