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April 03.2025
2 Minutes Read

How Strive Health is Transforming Kidney Care Through Custom Machine Learning

Man in cozy living room, homegrown machine learning in healthcare.

Strive Health's Innovative Approach to Kidney Care

Strive Health, a trailblazer in value-based kidney care, has demonstrated impressive results through its self-developed machine learning technology. This customized solution has led to a 36% reduction in 30-day readmissions, a remarkable 49% decrease in hospitalizations among high-risk patients, and a significant 67% increase in optimal care starts for individuals with kidney disease. These metrics indicate not only improved patient outcomes but also a fundamental shift in how Strive approaches patient care.

The Need for Tailored Technology

As healthcare continues to pivot towards value-based care, Strive faced unique challenges in finding a technology vendor capable of addressing its specific needs. Many potential partners utilized broad models that did not align with the focused patient care that Strive provides. This gap inspired Strive’s team to take matters into their own hands and develop a machine learning tool that complements their existing workflows.

Customization: A Key Factor for Success

Matthew Temba, Strive's chief technology officer, emphasizes the importance of ownership in technology development. By building their own machine learning models, Strive ensures flexibility and adaptability, essential for refining care processes based on real-time insights. This approach allows the organization to enhance care pathways for patients with late-stage chronic kidney disease (CKD), illustrating a focused, patient-centric approach in an era of generalized health technology.

Future Implications for Healthcare Providers

Strive Health's successes underline the critical need for healthcare providers to invest in customized technology solutions. The significant improvements in key performance indicators (KPIs) shouldn't just be seen as isolated successes; rather, they reflect broader trends where personalized care models leverage data effectively. As more organizations recognize the benefits of such strategies, they may find themselves better equipped to tackle emerging healthcare challenges.

Emphasizing a Patient-Centric Model

In today’s fast-evolving healthcare landscape, prioritizing patient-centric care while integrating technology is no longer optional. Strive Health showcases how innovation, combined with a deep understanding of patient needs, can lead to real solutions that enhance health outcomes. As healthcare IT professionals look to the future, Strive’s model serves as a guiding example of how to leverage technology for the benefit of both patients and healthcare providers.

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