• About Us
  • Contact Us
  • Terms & Conditions
  • Privacy Policy
Technology Hive
  • Home
  • Technology
  • Artificial Intelligence (AI)
  • Cyber Security
  • Machine Learning
  • More
    • Deep Learning
    • AI in Healthcare
    • AI Regulations & Policies
    • Business
    • Cloud Computing
    • Ethics & Society
No Result
View All Result
  • Home
  • Technology
  • Artificial Intelligence (AI)
  • Cyber Security
  • Machine Learning
  • More
    • Deep Learning
    • AI in Healthcare
    • AI Regulations & Policies
    • Business
    • Cloud Computing
    • Ethics & Society
No Result
View All Result
Technology Hive
No Result
View All Result
Home AI in Healthcare

Strive Health Enhances Performance with Custom Machine Learning Solution

Adam Smith – Tech Writer & Blogger by Adam Smith – Tech Writer & Blogger
April 3, 2025
in AI in Healthcare
0
Strive Health Enhances Performance with Custom Machine Learning Solution
0
SHARES
0
VIEWS
Share on FacebookShare on Twitter

Introduction to Strive Health

Strive Health, a value-based kidney care provider, noticed many of its health IT vendors, like the provider itself, operate extensively in the value-based care space and collaborate with accountable care organizations and health systems.

The Challenge

These systems’ models need to be manifested in Strive’s technology and workflows, and Strive was having a hard time finding a technology vendor that could provide that unique use case the provider required. That spurred the need for Strive staff to build their own technology versus buying it. They needed a tool that helped with everything from identifying which patients should be a part of which care pathways while leveraging data science and machine learning modeling to understand what patient care characteristics best align with parts of Strive’s care model.

Proposal

The risk stratification logic that many other value-based care vendors use looks at a much broader population, and so they are typically identifying all patients with late-stage chronic kidney disease (CKD). Strive Health’s proposal and what their technology sought to focus on is identifying the most high-risk patients within that group who they can have the most impact on. They wanted to use their technology to develop individualized care plans for people with CKD, guiding them on a care path that addresses the issue early – preventing progression to dialysis or transplant.

Meeting the Challenge

The technology Strive Health created is called CareMultiplier. It aggregates and standardizes data from a multitude of sources and leverages a suite of predictive analytic models that support deep insights into kidney patient data profiles. The model has always been about building technology for their internal care teams and their Kidney Heroes who are their primary users. This way, all of their patient-facing staff – from nurse practitioners and medical assistants to care coordinators and social workers – are using the customized workflows they’ve built.

Results

At the beginning of 2024, Strive Health rolled out a new assessment workflow that made a huge impact on initial documentation time, cutting it almost in half. That created more time for the Kidney Heroes to spend with patients and not just collecting assessment information. Because of the insights and data analysis CareMultiplier delivers to care teams, Strive has achieved a 36% reduction in 30-day hospital readmissions, a 49% reduction in hospitalizations among high-risk patients, and a 67% increase in optimal starts – a planned start of renal replacement therapy by receiving a preemptive kidney transplant, initiating home dialysis or initiating in-center hemodialysis.

Advice for Others

Other healthcare provider organizations should have a long-sighted worldview, though it takes a lot of investment capital for a business to have that luxury. There are multiple external factors at play and you have to have that organizational commitment to do it. Custom building a technology to suit the operational and clinical model of a startup organization is one that is filled with uncertainty. Organizations must think about how to build reusable technology that is extremely flexible. Finding that right balance, and more important, ensuring the relationship with the operational teams and the clinical teams is really strong so there are tight feedback loops, is critical to success.

Conclusion

In conclusion, Strive Health’s approach to building their own technology has been successful in improving patient outcomes and reducing healthcare utilization. Their CareMultiplier technology has been able to identify high-risk patients and provide individualized care plans, resulting in significant reductions in hospital readmissions and hospitalizations. Other healthcare organizations can learn from Strive Health’s approach and consider building their own technology to suit their specific needs.

FAQs

Q: What is Strive Health’s CareMultiplier technology?
A: CareMultiplier is a technology developed by Strive Health that aggregates and standardizes data from multiple sources and uses predictive analytic models to provide deep insights into kidney patient data profiles.
Q: What are the benefits of CareMultiplier?
A: CareMultiplier has been able to identify high-risk patients and provide individualized care plans, resulting in significant reductions in hospital readmissions and hospitalizations.
Q: What advice does Strive Health have for other healthcare organizations?
A: Strive Health advises other healthcare organizations to have a long-sighted worldview, build reusable technology that is extremely flexible, and ensure strong relationships between operational and clinical teams.
Q: What are the results of Strive Health’s CareMultiplier technology?
A: Strive Health has achieved a 36% reduction in 30-day hospital readmissions, a 49% reduction in hospitalizations among high-risk patients, and a 67% increase in optimal starts.

Previous Post

Taking the “Training Wheels” Off Clean Energy

Next Post

DeepMind Warns of AGI’s Potential to Wreck the World

Adam Smith – Tech Writer & Blogger

Adam Smith – Tech Writer & Blogger

Adam Smith is a passionate technology writer with a keen interest in emerging trends, gadgets, and software innovations. With over five years of experience in tech journalism, he has contributed insightful articles to leading tech blogs and online publications. His expertise covers a wide range of topics, including artificial intelligence, cybersecurity, mobile technology, and the latest advancements in consumer electronics. Adam excels in breaking down complex technical concepts into engaging and easy-to-understand content for a diverse audience. Beyond writing, he enjoys testing new gadgets, reviewing software, and staying up to date with the ever-evolving tech industry. His goal is to inform and inspire readers with in-depth analysis and practical insights into the digital world.

Related Posts

Bending Spoons’ Acquisition of AOL Highlights Legacy Platform Value
AI in Healthcare

Bending Spoons’ Acquisition of AOL Highlights Legacy Platform Value

by Adam Smith – Tech Writer & Blogger
October 30, 2025
Cursor 2.0 Debuts Multi-Agent AI Coding with Composer Model
AI in Healthcare

Cursor 2.0 Debuts Multi-Agent AI Coding with Composer Model

by Adam Smith – Tech Writer & Blogger
October 29, 2025
AI Compute Marketplaces Revolutionizing 2026
AI in Healthcare

AI Compute Marketplaces Revolutionizing 2026

by Adam Smith – Tech Writer & Blogger
October 28, 2025
AI Revolutionizes SEO Link Building
AI in Healthcare

AI Revolutionizes SEO Link Building

by Adam Smith – Tech Writer & Blogger
October 22, 2025
Cisco: Only 13% Have a Solid AI Strategy and Are Outpacing Rivals
AI in Healthcare

Cisco: Only 13% Have a Solid AI Strategy and Are Outpacing Rivals

by Adam Smith – Tech Writer & Blogger
October 14, 2025
Next Post
DeepMind Warns of AGI’s Potential to Wreck the World

DeepMind Warns of AGI's Potential to Wreck the World

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Latest Articles

Paige and Microsoft Unveil Next-Gen AI Models for Cancer Diagnosis

Paige and Microsoft Unveil Next-Gen AI Models for Cancer Diagnosis

March 1, 2025
Vector Database Optimization for Faster AI Search

Vector Database Optimization for Faster AI Search

September 30, 2025
Key Facts About Artificial Intelligence Today

Key Facts About Artificial Intelligence Today

July 22, 2025

Browse by Category

  • AI in Healthcare
  • AI Regulations & Policies
  • Artificial Intelligence (AI)
  • Business
  • Cloud Computing
  • Cyber Security
  • Deep Learning
  • Ethics & Society
  • Machine Learning
  • Technology
Technology Hive

Welcome to Technology Hive, your go-to source for the latest insights, trends, and innovations in technology and artificial intelligence. We are a dynamic digital magazine dedicated to exploring the ever-evolving landscape of AI, emerging technologies, and their impact on industries and everyday life.

Categories

  • AI in Healthcare
  • AI Regulations & Policies
  • Artificial Intelligence (AI)
  • Business
  • Cloud Computing
  • Cyber Security
  • Deep Learning
  • Ethics & Society
  • Machine Learning
  • Technology

Recent Posts

  • Bending Spoons’ Acquisition of AOL Highlights Legacy Platform Value
  • The Consequential AGI Conspiracy Theory
  • MLOps Mastery with Multi-Cloud Pipeline
  • Thailand becomes one of the first in Asia to get the Sora app
  • Clinician-Centered Agentic AI Solutions

Our Newsletter

Subscribe Us To Receive Our Latest News Directly In Your Inbox!

We don’t spam! Read our privacy policy for more info.

Check your inbox or spam folder to confirm your subscription.

© Copyright 2025. All Right Reserved By Technology Hive.

No Result
View All Result
  • Home
  • Technology
  • Artificial Intelligence (AI)
  • Cyber Security
  • Machine Learning
  • AI in Healthcare
  • AI Regulations & Policies
  • Business
  • Cloud Computing
  • Ethics & Society
  • Deep Learning

© Copyright 2025. All Right Reserved By Technology Hive.

Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?