How bigdata supports Health care

Big data is all about delivering big insights: gathering information from disparate sources and analyzing it to reveal trends that are not accessible in any other way. Of all the industries that are finding value from big data analytics, healthcare has the potential to realize the greatest returns. Not only can big data show healthcare providers how to increase profitability and improve operational efficiency, big data also has the potential to uncover trends that can directly improve people’s well-being

Analyzing Electronic Health Records (EHRs) – Doctors sharing EHRs can aggregate and analyze data for trends that can reduce healthcare costs. Sharing data between physicians and healthcare providers as they examine patients can reduce duplicate tests and improve patient care. Most EHR data is siloed, largely for security and regulatory compliance reasons, but finding a secure way to mine patient data can improve the quality of care while reducing costs.

 Analyzing Hospital Networks – Consider the power of analyzing trends in hospital care. For example, centralizing analysis of medical instruments in a pediatric ward can isolate possible infant infection trends earlier. Or consider the case of one hospital that was able to reduce post-operative staph infection: by using big data, the administration was able to determine that one surgeon was prescribing post-operative antibiotics that were less effective against infection.

 Control Data for Public Health Research – The medical profession is drowning in data. Medical offices and hospitals submit data about medical conditions and immunizations, but without big data, those data are meaningless. Using analytics normalizes raw patient data to fill gaps in public health records that can affect regulations as well as providing better care.

 Evidence-Based Medicine – Most hospitals and emergency rooms practice “cookbook medicine,” where a patient is admitted, and the physician uses the same battery of tests in order to identify the cause for symptoms. Using evidence-based medicine, the doctor can match symptoms to a larger patient database in order to come to an accurate diagnosis faster and more efficiently. Where big data plays a role is assimilating information from different sources and normalizing the data, so one record that describes “high blood pressure” maps to another that describes “elevated blood pressure.”

Reducing Hospital Readmissions – Hospital costs are rising partially because of high readmission rates within 30 days of patient release. Using big data analytics in order to identify at-risk patients based on past history, chart information, and patient trends, hospitals can identify at-risk patients and provide the necessary care to reduce readmission rates.

Protecting Patients’ Identity – Insurers like UnitedHealthcare are using big data analytics in order to detect medical fraud and identity theft. The company uses analytics on speech-to-text records from calls to the call center to identify potential fraudsters. The insurance company also uses big data in order to predict which types of treatment plans are more likely to succeed.

 More Efficient Medical Practice – As medical practices grow, accommodating more doctors and more patients becomes more challenging. Consider Westmed Medical Group in Westchester County, New York. This practice grew from 16 physicians in 1996 to 250 physicians today seeing 250,000 patients, with annual revenue of $285 million. As the practice grows, it needs to be more efficient in order to succeed. Using big data, the practice was able to analyze more than 2,200 processes and procedures. As a result, the practice was able to streamline workflow, shift clinical tasks from doctors to nurses, reduce unnecessary testing, and improve patient satisfaction. Like any business, big data made it clear where processes could be improved.

If you want to find out how Big Data is helping to make the world a better place, there’s no better example than the uses being found for it in healthcare

The last decade has seen huge advances in the amount of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand it. The intersection of these trends is what we call “Big Data” and it is helping businesses in every industry to become more efficient and productive.

Healthcare is no different. Beyond improving profits and cutting down on wasted overhead, Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths. With the world’s population increasing and everyone living longer, models of treatment delivery are rapidly changing, and many of the decisions behind those changes are being driven by data. The drive now is to understand as much about a patient as possible, as early in their life as possible – hopefully picking up warning signs of serious illness at an early enough stage that treatment is far more simple (and less expensive) than if it had not been spotted until later.

So to take a journey through Big Data in healthcare, let’s start at the beginning – before we even get ill.

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Why we use big data?

In Simple words , Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information.

1. Access to social data from search engines and sites like Facebook, twitter are enabling organizations to fine tune their business strategies. Marketing agencies are learning about the response for their campaigns, promotions, and other advertising mediums.
2. Traditional customer feedback systems are getting replaced by new systems designed with ‘Big Data’ technologies. In these new systems, Big Data and natural language processing technologies are being used to read and evaluate consumer responses.
3. Based on information in the social media like preferences and product perception of their consumers, product companies and retail organizations are planning their production.  

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WHAT IS BIG DATA?

The term bigdata may have been around for some time now, but there is still quite a lot of confusion about what it actually means. In truth, the concept is continually evolving and being reconsidered, as it remains the driving force behind many ongoing waves of digital transformation, including artificial intelligence, data science and the Internet of Things. But what exactly is Big Data and how is it changing our world...

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