Big data has the potential to significantly improve healthcare by allowing analysis of large amounts of patient data from diverse sources. This can help predict disease onset, reduce medical costs, and improve treatment outcomes. By tracking purchasing patterns, big data already enables prediction of conditions like pregnancy. Widespread use of big data tools in healthcare could facilitate personalized, evidence-based care that improves lifestyle choices, medication accuracy, and lowers costs through reduced errors and waste.

1. How Effective Use of Big Data Could Change the Healthcare
By: Chirag Shivalker – Hi-Tech Outsourcing Services
The world has witnessed exponential growth in the volume of data & information in recent
years. There are various challenges to this data management and warehousing due to its
unstructured formats, disparate source of information and the nature of details contained in
it.
“Big Data” proves to be a savior with the required foresight, to domains including
healthcare, public sector, retail, manufacturing and many more to manage this challenge
and leverage this information at fullest.
 What is Big Data
Management and leveraging complex and unstructured data with advanced technologies
and techniques with a clear thought process is known as Big Data. The concept of "Big data
arc hitec ture” leads to structured and pattern-based methodology to simplify the grouping of
overall big data.
 Why use Big Data Intelligence for Healthcare
Increasing health hazards and simultaneous health care facilities have made it mandatory
that multiple sources of data can & should be brought to use with help of Big data tools.
This will enhance the delivery of health care facilities at individual patient level & for
disease- and condition-specific population too.
Early success stories about combination of Big Data and Healthcare

2.  An American university with help of big data used analytics of new born in neonatal
intensive care to predict the onset of a deadly infection 24 hours prior to its symptoms.
 Two of the orthopaedic surgeons in New York successfully reduced blood transfusion
cases by 31% & medical expenses by $200,000 a month, based on data collected from
their joint & knee replacement surgery patients.
 A prototype program was developed to predict the likely outcome of diabet ic patients,
purely based on the overall health data, association with physicians & population health
management relatively.
Let’s take a simple example to understand “Big Data Intelligence for Healthcare “…!!!
A man tussled with a medical store supplier who had been sending across free coupons to
this man’s daughter for pre-natal and baby care items. Making the long story short – the
man discovered that his teenage daughter was pregnant. Being a father he was not aware
of this fact but the medical store supplier was…but how? It was because of BIG data. This
medical store was able to track and analyze purchasing pattern of thousands of newly
pregnant females to reach a conclusion that many of them bought fragrance free lotions,
soaps and shampoos & vitamin supplement tablets and syrups in their initial days of
pregnancy, whic h this man’s daughter also purc hased. Big data, this way enables the
service providers to guess whether a female is pregnant and even predict the due date,
purely based on her purchasing pattern.
 Benefits of Big Data tools to Health Care
Combination of big data & health care organizations ranging from single-physician offices to
large hospital networks may realize prominent benefits including:
 Appropriate lifestyle:
Data trends and patterns can suggest patients to take interest in their health condition, not
merely in current medical condition; but also by preventing future health hazards. Big Data
would empower the population with various choices of lifestyle including diet – exercise and
medical procedures for targeted disease prevention & take charge of their health.
 Accurate medication
Advanced integration and applications with help of big data apparatus will pave path for
evidence based medication; which is patient specific. Mandatorily, all healthcare providers
would share and rely on the same information for a particular patient, reducing medical
errors and enhancing outcomes.
 Authentic Health care provider
Compiled data bank of all the health care providers will come handy while matching their
expertise with patient’s medic al needs. It will allow patients to evaluate individual provider’s
success ratio about specific medications to receive prime medical treatment.
 Affordable pricing

3. Big data is well equipped with applications to guarantee cost effectiveness of medical
treatments based on various methods including success ratio, reimbursement of claims,
diminishing frauds, reduce waste and so on…!!
 Advancements
Accumulated data would be brought in limelight to enhance innovations, may it be particular
therapies and healthcare delivery or enhancing the effectiveness and efficiency of medical
health care imparted. Consuming data gathered from the past, supported with ongoing
trends as reflecting in current data – will help modernization to all segments of healthcare
including discovery – progress and well-being.
Big data tools have started proving its worth at public health level, as the data accumulated
is conveniently accessible & is becoming increasingly helpful. At institutional level big data
architecture strategies are used to drive down health care costs in areas suc h as laboratory
tests and many more…!!!
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