Big Data Revolution Is Changing Healthcare Today

Big Data is the new buzz word everywhere extending its proficiency to every industry out there, including health care. Healthcare leaders are constantly looking out for answers in Big Data.

In medicine, adoption of technology attains its generosity only when it improves the ultimate goal -patient care. Big Data is one such technology which enhances the patient engagement, tremendously. Big Data saves a life by individualizing medical treatment. It delivers good medical care with enhanced processes and reduced waste.

Healthcare institutions are frequently experimenting with Big Data projects. Today, we have tools and methodologies which we have never assumed before. Let us have a look at such few roles Big Data plays in Healthcare:

1. Storing Huge Databases:

Health care has large volumes of data coming in each time. Usual ERM’s collect huge amounts of data, but only a fraction of them are relevant to current scenarios. There are hardly any use cases for much of this data. This being made clear, new use cases handling genomics are in dire need for a big data approach.

1. Google Medical Map:

Just like Google Map, which stores a whole lot of information and different views of cities, states, we now have an innovative Google Medical Map, which maps to anatomy, physiology, DNA, RNA and chemical composition of a human being.

1. Cloud-based Platform:

Researches are going on in the development of cloud-based, big data platform enriched by clinical and social analytics. These platforms help connect and share data across the chain of hospitals.
· Predictive Disease Management
· Reduce readmission rates
· Lessen negative outcomes
· Handle pharmacy costs
· New tools that improve the patient’s experience.

1. Alert Healthcare Workers:
   High-power Analytics crunches Big Data. Individual patients are analyzed effectively and immediate alert is sent to healthcare workers. This alarms workers to terrible side effects even before medication is prescribed. This promotes positive health consequences like:
   · Careful monitoring and treatment plan.
   · Prescription-filling and psycho-social information.
   · Predict the necessity of re-admittance.
   · Shun unnecessary treatment costs and regulate healthier outcomes.

2. Processing Data:

Most of the data in the healthcare is entered manually, which largely limits the generation of data.

To overcome it, the data inside Hadoop framework is processed by employing both Big Data and Advanced Analytics. It enables a 360-degree view of the patient condition. It highly improves clinical and financial analysis and effectively monitors waste.

This data deal with every aspect of Healthcare industry, like, clinical, financial, and operational. The data analyzes the causes of problems really quick and helps build innovative solutions. It actively adapts to the growing healthcare landscape.

1. Episode Analytics:

Big Data helps organizations monitor their performance, improve opportunities and promote obedient care delivery. Using it, healthcare providers now can better manage the quality of care they offer.

1. Virtual Health Monitor Systems:

Wearable health care technology is on the rise, these days. Virtual care initiations are being made every day to improve the quality of care enabling more access.

1. Project Data Sphere:

The goal of pharmaceutical data transparency is to make the data globally accessible. With it, multiple organizations can now access clinical trial information among large communities. This help scientists to complete research more rapidly and improve care.

1. SQL Query:

Adoption of Big Data in healthcare requires sufficient expertise and skill set. Familiarity with data science, SQL programming languages, and relational databases are some of the many. Big Data is embracing SQL for querying which hopefully alters the health-system settings even with less-specialized skills.
This query tool enables users to query both Hadoop Data File Systems (HDFS) and SQL relational databases using extended SQL syntax. This brings big data before a larger group of audience.

1. Privacy of Data:

In healthcare, nothing is much important that security and privacy of patient’s personal data. When data is made open up to a large group of users, security becomes an issue. Hence, healthcare organizations are concentrating on the security of data. They can ensure it by purchasing a well-secured distribution and opening access to data only for few data scientists.

1. Analyze DNA:

Next-Generation sequencing lets you analyze your own DNA. This new innovative technology service binds and identifies base in nucleotides in the whole of human genome just by using a single analysis. Big Data is crunched with Bioinformatics to analyze genetical changes in DNA.

Final Words…

Big Data would be the cornerstone of Healthcare in no time. Efforts are ongoing. It is currently a work in progress and holds so much potential to come. As we can see, it promises effective health care and its benefits are yet to leverage wide.

Author Bio:

Sirisha Paladhi possesses love and passion towards writing, which brought her into this field. Presently, she is working as a Content Writer at TekSlate. During her career, she has written many articles on technology innovations. In her pass time, she relishes in making handy-crafts.

LinkedIn URL: https://www.linkedin.com/in/paladhi-sirisha-74987881/