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: Big Data, Big Difference: Building Smarter Devices with Data Analytics
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 > Big Data, Big Difference: Building Smarter Devices with Data Analytics
AnalyticsBig Data

Big Data, Big Difference: Building Smarter Devices with Data Analytics

Ryan Kh
Ryan Kh
7 Min Read
big data analytics for smart devices
Shutterstock Licensed Photo - By tsyhun
SHARE

You’ve probably seen the term “big data“. This refers to gigantic amounts of digital information and the analytics tools used to extract it. Data analytics plays a vital role in virtually every field from criminology and government to finance and environmental research. Big data is used to identify patterns, make predictions, and otherwise dissect and examine useful info.

Contents
1. Smart Devices2. Smart Imaging And Diagnostics3. Neurosensing and Neuro-bypass4. Predictive Analytics5. Smart Individualization6. Value Quantification

Data analytics plays an essential role in healthcare. Data analytics with medical devices can change the logistics of healthcare delivery.

In the not so distant future, smart medical devices will be able to deliver more effective, comprehensive, personalized, and automated solutions across the board to both patients and health care providers. This may sound like a line from a science fiction novel, but the reality is that medical device engineering and advanced analytics are already beginning to merge.

Look at DAQifi, NeuroLife, EluciData, and Battelle as examples of brands merging big data and medical engineering. EluciData, for example, is an analytical engine using the same pattern recognition and machine learning methods used in national security to collect and analyze medical data from records, body sensors, billing, and diagnostics.

More Read

data scientists
9 Careers You Could Go into With a Data Science Degree
Predictive Analytics in your iPhone
Data Analytics Plays Robust Role In Energy Cost Management In 2020
I Love Social Media Because Sample Sizes Can Be In The Millions
ISPs Use Holistic Big Data Strategy To Shed Customer Cynicism

Here are just six of the broad innovations on the horizon with data analytics on medicine’s side:

1. Smart Devices

Automated drug delivery, daily health guidance, and chronic disease management could all be possible with mHealth apps and smart medical devices capable of capturing and analyzing live data. These devices would allow physicians and patients alike to better understand the factors impacting health day-to-day and better apply thusly needed treatments.

Drug dosages are perfect examples. Dosage for most medications vary based on environmental factors, activity, diet, major weight changes, and secondary health issues. It’s impossible for doctors to account for all these factors on a daily basis. Many primary care physicians have trouble broadly factoring mere pieces of such info in during a quarterly or annual appointment for medication renewals.

Automated smart devices can provide real time analysis after bringing all the relevant data together from an array of sources – weather reports, sensors and implants, lab and diagnostic reports, diet tracking app, medical records, and such.

2. Smart Imaging And Diagnostics

Image diagnosticians have to be highly skilled and have copious amounts of data for interpretation. Analyzing data is still a slow process that’s subject to human interpretation errors.

Data analytics and machine learning could help the devices themselves recognize abnormal scans, thereby increasing accuracy, reducing human error, reducing delay, and allowing for medical personnel to instantaneously identify any abnormalities or changes from previous testing.

3. Neurosensing and Neuro-bypass

The brain processes trillions of bits of information per second. Neurosensing and data analytics can work together to help patients with brain injuries and defective nervous systems find and decode meaningful signals so that the signals can be connected to a prosthetic or assistive device.

Neural-bypass tech, such as by NeuroLife, already bypasses damaged parts of the nervous system for the patient to control a device that stimulates movement in fingers. Think of what this could mean on a larger scale.

4. Predictive Analytics

Imagine how many lives could be saved by predicting heart attacks beforehand. Data analytics paired with medical sensors could make that a reality. Medical devices could predict adverse outcomes of all sorts before they occur, providing advanced warning to both the patient and health care provider.

The device would look for subtle changes that are associated with major health events and issue an alert to the primary physician for immediate examination.

5. Smart Individualization

While there are some universal factors that determine disease development and progression, many disease processes are also highly individualized because there are so many variables that can influence how a disease progresses and its responsiveness to treatment. Using big data sections for individual biochemistry, genetic characteristics, environmental influences, and lifestyle, researchers can determine how particular patients are likely to respond to treatment. In turn, healthcare providers can make more educated decisions and individualized care plans.

This can also be applied to help manufacturers conduct in-depth clinical trials to understand how a given device benefits or harms specific groups of patients based on their lifestyle, health, secondary diseases, and genetic profiles.

6. Value Quantification

It’s difficult to quantify a medical device’s value without a great deal of effort, especially for smaller clinics, hospitals, and long-term care facilities.

Data analytics can make it easy to put ‘added value’ in relatable terms to cost. Many medical facilities are applying value-based purchasing to their financial bottom lines because of changes to Medicare and Medicaid reimbursement. These entities need to be able to compare and quantify the reward vs cost of adding/keeping certain therapies, services, and devices.

As you can see, merging data analytics with medical device technology to create a new ‘smart’ design frontier has benefits across the board – manufacturers, patients, providers, and facilities. The next revolution in health care will be data-driven. The only question is which developers will be leading the charge and which will be eating dust.

Data Analytics is the Future of Healthcare

Data analytics and smart devices are changing the nature of healthcare in remarkable ways. They enable doctors to provide more accurate diagnoses at lower costs. What new smart devices will hit the market in the next few years?

TAGGED:big databig data analytics toolsmachine learning and big dataNeurosensing and Neuro-bypasspredictive analytics
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 and network security
Big DataData ManagementITSecurity

Big Data Unlocks Key to Age Old Challenges Businesses Face

6 Min Read
big data tools including analytics and cloud computing
AnalyticsBig DataBusiness IntelligenceCloud ComputingData CollectionExclusive

Data Shortcuts So You Can Spend More Time Managing Your Business

5 Min Read

Analytics Can Answer: “Why Can’t … ?

6 Min Read
big data and virtual meeting
Big DataExclusive

Big Data is Simplifying the Online Meeting Process

9 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?