<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=1232938&amp;fmt=gif">
redapt - rack integration - white icon
Data Center Infrastructure

Enhance your data center infrastructure with tailored solutions that boost performance and efficiency, ensuring rapid growth and exceptional customer experiences.

redapt - data estate assessment - white icon
Cybersecurity

Fortify your operations with comprehensive cybersecurity solutions that deliver resilient protection and end-to-end risk mitigation.

redapt - cloud adoption ready - white icon
Managed Cloud Services

Align your cloud strategy with your business objectives through our end-to-end managed services, delivering expert oversight across infrastructure, data optimization, and cost control.

Cloud_Adoption
Cloud Adoption

Adopt the cloud confidently with expert guidance on capacity, cloud-native technologies, and a step-by-step path for successful migration.

redapt - devops adoption - white icon
DevOps

Energize your software development lifecycle with tailored DevOps to match your needs and workflows.

redapt - data science experiment - white icon
Data Analytics

Successfully adopt advanced analytics capabilities to unlock insights, inform the design of your products, and make smarter decisions.

Artifical_Intelligence
Artificial Intelligence

Leverage Artificial Intelligence to generate actionable insights, uncover new revenue opportunities, and drive more informed decision-making.

Application_Modernization
Application Modernization

Modernize your applications with advanced development methodologies, driving greater agility, efficiency, and continuous innovation to excel in today’s competitive environment.

BLOG
The latest in infrastructure, technology, and security

From emerging innovations to real-world applications, we cover what helps leaders navigate complexity, drive transformation, and make smarter decisions in a rapidly evolving landscape.

VIDEO CENTER
Go deeper with expert stories, insights, and strategy

Your destination for expert conversations, client stories, and diving deep into the latest in infrastructure, technology, and business strategy.

CUSTOMER STORIES
Discover how we elevate organizations

Read some of our customer stories to learn more about how we develop and implement solutions, along with how those solutions have helped our clients and partners.

KNOWLEDGE CENTER
Stay informed with expert guides, trends, and webinars

Explore our curated collection of eBooks, guides, and webinars designed to help leaders stay informed and ahead of trends.

redapt-employee-unboxing-tech
ABOUT US
Get to know our mission, team, and what drives us

We specialize in implementing and managing technical solutions to support your infrastructure and digital environments. 

RC_DC_6481
LEADERSHIP
Meet the leaders driving innovation and customer success

Bringing together decades of experience in technology, business strategy, and customer success.

What the company needed Image-1
CAREERS
Join a team built on impact, collaboration, and growth

Build lasting relationships and deliver real-world results.

Actionable Insights.

Make-or-Break Focus Areas.

Experts Save You Time.

Let our experts save you time, money, and stress as you explore solutions. Talk to an expert today!

Contact Us

  • There are no suggestions because the search field is empty.
Banner Bg Image

How Healthcare Enterprises Are Leveraging Predictive Analytics

According to Axios, in 2018 alone, Americans spent an estimated $3.65 trillion on healthcare. For some context, that’s more than the total GDP of Brazil.

With costs continually increasing, healthcare providers—from hospitals to doctors’ offices to insurance companies—are always searching for ways to provide better services at a lower price tag.

Enter predictive analytics. 

Built upon an ocean of incoming data, predictive analytics can unlock unforeseen and unexpected information that providers and other players in the healthcare industry can apply to their business models

In fact, in many ways, healthcare is already at the forefront of predictive analytics. And that’s due to Fast Healthcare Interoperability Resources, or FHIR.

What is FHIR?

A project of the organization HL7, FHIR is a standard for the capturing and storing of healthcare data. It’s a set of agreed-upon rules for medical data that is utilized by everything from insurance companies to EKG monitors to Apple Watches. 

The types of data FHIR standardizes are staggering. It includes:

  • Patient vital signs 
  • Insurance claims
  • Appointment dates
  • Medication usage
  • Emergency care
  • All other healthcare information

This information is collected, placed within a framework, and made available to approved parties.

With FHIR, data scientists have a single source for creating data lakes of specific data that can be mined for insight—all with the governance and rules in place to limit what information is accessed by individual parties to preserve privacy.

data_redapt_wide-illustration_1

A predictive playground

A key component of predictive analytics is machine learning (ML), and the secret to ML is the ability to run models on a wide range of data sources.

FHIR gives data scientists a large playground in which to run models efficiently, then feed the outcomes of those models back into the data stream—a learning loop that can reveal new insights and even raise flags when appropriate.

For insurance providers, running ML through FHIR can gauge and flag potential fraud. For researchers, it can predict things such as regions likely to be hit by a particular strand of the flu or where unhealthy pollutants will increase. And for your average physician, it can help predict how a patient’s lifestyle could affect their health in the coming years.

magnifying-glass-dna_redapt_wide-illustration_1

ML during the pandemic

Over the past year, healthcare providers and government agencies increasingly utilized ML to combat COVID-19.

By creating models to help track the spread of the virus in communities, their organizations were able to take big steps toward:

  • Anticipating where larger-scale outbreaks were likely to occur
  • Improving contact tracing efforts
  • Track the evolution of misinformation about COVID-19 via social media data streams

While these were important capabilities for battling the pandemic, the real benefits of ML will likely be revealed if another major outbreak of a virus occurs because unlike the pandemic of 1918, health agencies and researchers now have more than enough data in which to apply sophisticated ML models going forward.

In other words, the world will be able to better react if another pandemic occurs by utilizing data science in more extensive and creative ways.

We’ve only just begun

In many ways, the healthcare industry is still just scratching the surface when it comes to the power of predictive analytics.

FHIR has already provided the most advanced healthcare record in history, and it’s only going to get more robust as time goes on. Similarly, the models run by various enterprises and organizations in the healthcare industry will only become smarter and more efficient.

While not every industry can produce and utilize something as groundbreaking as FHIR, predictive analytics can still provide essential insights into data. All that’s needed is enough data and the models to run on it.

To learn more about predictive analytics, artificial intelligence, and ML, check out our free resource on Advanced Analytics.