Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How Big Data Allows Pre-emptive Healthcare to Prevent Disease
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > How Big Data Allows Pre-emptive Healthcare to Prevent Disease
AnalyticsBig DataExclusive

How Big Data Allows Pre-emptive Healthcare to Prevent Disease

Ryan Kh
Ryan Kh
6 Min Read
big data in healthcare
Shutterstock Licensed Photo - By Panchenko Vladimir
SHARE

Big data, robotics and Artificial Intelligence (AI) are radically changing the way clinicians diagnose and treat disease.  Gone are the days of “one size fits all” treatment protocols.  Instead, healthcare providers are using centralized data sets that are AI analyzed to provide targeted, personalized healthcare that focuses on prevention rather than cure.

Contents
Shared Data SetsPredictive AnalysisRapid Development of Pharmaceuticals

In addition to a swing toward preemptive healthcare, big data is central to the sector’s commitment to capping wasteful expenditure.  Billions that were once raised to manage duplicated records at hospitals, clinics and doctors’ surgeries are now being used for more beneficial outcomes. Modern location data, for example, allows you to “see, at a glance, where all the physicians are within a facility as well as outside its walls,” writes Nathan Sykes about the benefit of big data in emergency medicine. “If an on-call doctor needs to be contacted, you know where they are and exactly how long it’s going to take them to arrive.”

Factor in healthcare apps and wearables that automatically collect and analyze data and prescribe ways for wearers to improve their health and wellbeing, and data-driven technology really is at the coal face of change in the global healthcare sector.

Here are key ways big data is rebooting healthcare and providing a more fact-based approach to the diagnosis and treatment of dreaded diseases:

More Read

Presentation: How Big Data Shapes Business Results
Impressive Ways that AI Improves Business Analytics Insights
The CEO Wants Analytics! Now What?
Leveraging Data Science To Grow And Manage Your Team
Data-Driven Strategies to Help Prevent ACH Fraud

Shared Data Sets

Sophisticated electronic medical record systems are being rolled out to streamline and optimize data management.  Data is mined from a host of different sources, analyzed and shared on a single platform.  All healthcare providers who have access to these data management systems can tap into patient records and build the data base by adding relevant information to each set.

Shared data translates into huge costs savings.  Personnel are no longer required at each point in the healthcare stream to manage duplicated records.  Up-to-date patient information is instantly available at a single source.

Predictions are that data experts will soon be as important to healthcare as the clinicians themselves.  They’ll primarily be responsible for the sustained management and analysis of massive sets of data known as data lakes.

Another purpose of this sort of managed care using big data is to help keep people healthy at home so they don’t have to make so many trips to the hospital. Proper management all of this patient information streaming into data lakes from sensors and wearables will be essential. Hiring data scientists will be the only way to go for healthcare professionals to be able to identify potential health problems from sensory data and send the right expert to intervene.

Predictive Analysis

Arguably one of the most exciting aspects of big data is its predictive capabilities.  By extracting information from existing data sets and using AI-based analytics, healthcare professionals can determine future medical trends and patterns.

That doesn’t mean you can use predictive analysis to determine which Vegas games you should play online in order to win!  It does however mean that clinicians can identify the best way to treat a disease based on the individual’s personal history.  They can also analyze the patient’s family history and DNA, identify high risk areas and prescribe preventative treatments to arrest the development of these diseases.

From now on, life threatening conditions like cancer, cardiovascular disease and diabetes will not have one treatment protocol prescribed to all patients.  Instead, treatment will be individually targeted based on the patient’s DNA and how he or she responds to that particular treatment.

The ground-breaking ability to marry big data with genomics means that in the future doctors will be able to focus on treating diseases in the very early stages of development.  They will even be able to reverse the process by prescribing treatment that changes the affected biome back to its former healthy state.

Rapid Development of Pharmaceuticals

The roll out of big data in healthcare enables pharmaceutical companies to develop new drugs more rapidly and effectively.  Using predictive modelling and biological and clinical data sets, drug companies can precisely identify the best candidates for drug trials.

In addition, the deployment of advanced AI algorithms in tandem with real-time monitoring of these drug trials means that the latest biologicals, medicines and drugs are available for public consumption a lot quicker than in the past.

Big data is central to disease prevention, enhanced patient outcomes and reduced readmission rates.  It’s the driver behind shared fact-based patient information that’s available at the click of the mouse.  With big data firmly in your corner, the odds of an extended and disease-free life are better than ever. Be on the lookout for new applications of big data to emergency medicine, preemptive healthcare, genomics, and pharmaceuticals.

TAGGED:big databig data in healthcare industryhealthcarepreemptive
Share This Article
Facebook Pinterest LinkedIn
Share
ByRyan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data security standards
Best PracticesBig DataData ManagementExclusiveITNewsPrivacySecurity

How Data Security Remains More Than Just About IT Safeguards

6 Min Read
airline loyalty
AnalyticsBig DataSocial DataSocial mediaSocial Media AnalyticsText Analytics

Predicting Airline Loyalty Churn – Cathay Pacific Marco Polo [Case Study]

15 Min Read

Big Data is All the Rage. Why?

0 Min Read
data scientists
Data Science

5 Hardware Accelerators Every Data Scientist Should Leverage

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?