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Value-Based Care Platform

About
Management of chronic diseases is a challenging process for both patients and healthcare providers that requires ongoing monitoring, supervision, and creating personalized care plans. To achieve greater outcomes, enhance the patient experience, and reduce operational costs, medical professionals seek to adopt new approaches and technology solutions.
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Challenge

Management of chronic diseases is a challenging process for both patients and healthcare providers that requires ongoing monitoring, supervision, and creating personalized care plans. To achieve greater outcomes, enhance the patient experience, and reduce operational costs, medical professionals seek to adopt new approaches and technology solutions.

Solution

Specifically for a major healthcare provider, Softarex has developed a custom Value-Based System that offers AI-powered care pathways for multiple chronic disease management and can be integrated with Electronic Medical Records (EMR) systems, giving providers easy access to goal-oriented recommendations.

The platform:

  • Incorporates multiple risk-associated features
  • Generates daily recommendations for providers aimed at improving individual patient outcomes.
  • Provides pre-built care pathways that allow for fully customizable coordination of care across multiple settings;
  • Allows users to distribute tasks within teams and empowers patients and their caregivers;
  • Offers a mobile app that provides communication with patients and real-time patient support.
Softarex’s AI-based care platform helps to create optimal treatment plans based on the experience gained from treating similar patients. The AI-powered recommender uses data from common and/or disease-specific algorithms created by physicians. Thanks to cutting-edge deep learning algorithms, the care pathways become more individualized and precise over time.

The system:

  • Is based on neural networks and machine learning algorithms;
  • Routes recommendations to an EMR system 24/7;
  • Optimizes physician behavior, since patient outcomes correlate with physicians’ acceptance or rejection of recommendations.

This approach minimizes health risks to chronic patients. Risk adjustments are made on an ongoing basis to the care process and, therefore, to the providers’ work.

This is a custom solution
Does it look like it may be a good fit for you? Contact us, and we’ll build a custom solution tailored specifically to your business needs.
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Project Results

The Value-based System developed by Softarex has provided the following results to healthcare providers and patients:

  • 30% fewer in-person doctor visits;
  • 10-15% reduction in care and treatment costs;
  • 15-20% increase in patient satisfaction and healthcare outcomes.

Technical challenges

  • Integration with Epic to enable the exchange of all necessary medical information;
  • Development of visual tools for care scenarios creation;
  • Development of AI-based recommender that generates recommendations for physicians based on experience gained from treating other patients with similar diseases;
  • AI-based patient population analytics and predictive modeling for identifying possible patient care needs;
  • Working with large databases of patient data.

What Our Customers Say

I’ve bеen working with Softarex for more than six years and three things were the cornerstones of our cooperation: quality, communication, and accessibility.

These guys have always clearly understood all the functional specs I needed and gave me the best translation into the tech specs. All the databases were structured into the utmost flexibility – you can leave all the hardcoded stuff to the ancient times. Definitely 5 stars!

Daan Hommes, MD, PhD
CEO at DEAR Health, Inc.

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Our experts

We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.

Softarex is a one-stop-shop, providing all services needed to make your project a success.

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Sergey

System Architect and Delivery Manager

My main responsibility as a Delivery Manager is to make sure that a product is delivered on time and within budget. To achieve that, I seek to create an encouraging environment for the team, where everyone can improve their skills, feel appreciated and, thus, produce greater value.

The use of Agile tools and techniques helps me organize the teamwork more effectively and transparently. Throughout my career, I have also been actively architecting, designing, and implementing software solutions — mostly web and desktop applications — for the Healthcare, Manufacturing & Energy industries that help companies and organizations ‌streamline day-to-day business operations.

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Sergey

System Architect and Delivery Manager

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Alex

Lead Software Engineer

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Sergey

System Architect and Delivery Manager

My main responsibility as a Delivery Manager is to make sure that a product is delivered on time and within budget. To achieve that, I seek to create an encouraging environment for the team, where everyone can improve their skills, feel appreciated and, thus, produce greater value.

The use of Agile tools and techniques helps me organize the teamwork more effectively and transparently. Throughout my career, I have also been actively architecting, designing, and implementing software solutions — mostly web and desktop applications — for the Healthcare, Manufacturing & Energy industries that help companies and organizations ‌streamline day-to-day business operations.

Learn more
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Alex

Lead Software Engineer

I currently hold the position of Lead Frontend Software Engineer at Softarex. In my professional career, I have gained hands-on experience with various technologies and frameworks such as AngularJS, Angular, React, React Native, and Vue.

I understand the importance of a well-thought-out user interface, especially in something as people-centered as Healthcare. Therefore, I always follow the keep-the-user-in-mind UI design strategy.

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Get in touch with Softarex’s team

Have questions about your future project? Feel free to contact our team.
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Technology domains

Healthcare
Big Data and Analytics
Cloud Solutions
Machine Learning
Mobile
Neural networks
Predictive Modeling