DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question
  • Optimizing Databricks Spark Pipelines Using Declarative Patterns
  • Why We Chose Iceberg Over Delta After Evaluating Both at Scale
  • Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

Trending

  • Identity in Action
  • Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch
  • Building a Zero-Cost Approval Workflow With AWS Lambda Durable Functions
  • 5 AI Security Incidents That Broke Things in Production (and What They Have in Common)
  1. DZone
  2. Data Engineering
  3. Big Data
  4. Big Data in Healthcare

Big Data in Healthcare

The healthcare industry is one of the major areas where big data and analytics are utilized in several ways. Find out what these are in this blog post.

By 
Vakul Gotra user avatar
Vakul Gotra
·
Mar. 07, 22 · Analysis
Likes (4)
Comment
Save
Tweet
Share
6.9K Views

Join the DZone community and get the full member experience.

Join For Free

Big data is a term that defines the large volume of unstructured or structured data that impacts a business on a day-to-day basis. This data can give valuable business insights and solve business problems that could not be tackled before with conventional analytics or software. Over the last few years, various healthcare software has been launched to make people’s lives easier and improve quality care. Moreover, the healthcare and life sciences industry demands foolproof product quality assurance.

Big data in healthcare collects patient's records and improves the performance of healthcare facilities by the following means:

  • Use patient data to improve clinical outcomes
  • Manage operational data to improve productivity
  • Use healthcare financial data to improve the revenue for hospitals or healthcare organizations

Global Big Data Analytics in Healthcare Market

Global Big Data Analytics in Healthcare Market

Why Is Big Data Important?

The importance of big data does not depend on how much data an organization has. Instead, it deals with what an organization does with that data. Data can be collected from any source and then analyzed to find solutions that lead to cost reductions, time savings, new product development, and smart decision-making. Organizations that use big data in healthcare software development implement big data testing to improve the reliability and quality of their products.

When big data combines with strong analytics, various business-related tasks can be easily accomplished, such as:

  • Identifying root causes of failures and issues in real-time
  • Generating offers/coupons based on customers' purchase records
  • Recalculating entire risk profiles in minutes

Big Data Expansion in Healthcare

Big data has immense use in any business environment. Healthcare industries are using big data and associated analytics in several ways. Also, testing healthcare software requires a deep knowledge of best quality assurance practices to ensure good quality in the product. Below are the top 5 ways big data can help and change the healthcare sector:

Top 5 Advantages of Big Data in the Healthcare Sector

Big Data Expansion in Healthcare

  1. Track Health Activities: Healthcare organizations are focusing more on the continuous monitoring of patients' health-related data with the help of sensor data collection. It helps hospitals to reduce the patient’s visits to hospitals. With sensor machines, hospitals can identify potential health issues and provide care before the situation worsens.
  2. Cost-Effective: Big data technology is an affordable option for hospitals. Using big data, healthcare organizations can find many options to improve the efficiency of the tasks performed.

    One of the advantages of using big data is that hospitals and clinics can estimate and allocate the proper staff. It saves money and reduces emergency room waiting time.

  3. Better Patient Care: Health systems provide the insights that are important to drive a higher level of personalization. The current health system is adopting the new idea of patient convenience and personalized care. By digitizing hospital records using big data, one can access accurate data to understand the pattern of many patients.

    For example, the patient can be updated with the reports or appointments via SMS or emails automatically.

  4. Minimize Human Error: Big data analytics in healthcare can analyze user data and prescribed medication. It can minimize human errors such as prescribing the wrong medicine or dispatching a different medication by mistake.
  5. Improved Healthcare: Big data is the key to advancement in Healthcare. Artificial Intelligence can analyze large volumes of data within seconds to find solutions for various diseases. Such advancements will not only be able to provide accurate solutions but will also offer customized solutions for unique problems. Also, using a hybrid cloud environment for file sharing enables the seamless transfer of information between peers. Testing hybrid file-sharing platforms will ensure security and integrity.

Conclusion

Healthcare big data is like electronic medical records (EMRs). It incorporates a patient's medical history, physician notes, clinical reports, biometric data, and other data related to health and usage of this data by healthcare organizations to provide better customer service and management.

Big data

Published at DZone with permission of Vakul Gotra. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question
  • Optimizing Databricks Spark Pipelines Using Declarative Patterns
  • Why We Chose Iceberg Over Delta After Evaluating Both at Scale
  • Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

Partner Resources

×

Comments

The likes didn't load as expected. Please refresh the page and try again.

  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook