The new AI applications suite has been developed to integrate seamlessly with existing healthcare workflows and solutions. Credit: Wright Studio/Shutterstock.com.

Data Kinetic, a company specialising in Applied Artificial Intelligence (AI) for industry, has unveiled its first suite of applications specifically designed for the healthcare sector.  

The new solution suite has been developed to integrate seamlessly with existing healthcare workflows and solutions. 

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It enables healthcare professionals to execute models on their chosen platforms, with air-gapped security features that prevent any potential data leakage.  

This approach supports healthcare teams by minimising disruption, which can lead to reduced burnout, maintained patient privacy, and improved patient outcomes. 

Data Kinetic said its multi-modal models are ‘cold start’, which ensures that no patient data leaves the healthcare provider’s environment.  

This further allows customers to create their own AI assets while adhering to existing workflows and practice requirements, ensuring that patient data is safe and healthcare providers have full control over their AI systems. 

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Data Kinetic CEO and founder Nick King said: “Data Kinetic is driven to make a difference in the healthcare industry by empowering specialists with Applied AI. We collaborate with healthcare teams to improve patient outcomes and drive positive changes.  

“By addressing specific healthcare challenges with AI models, we enhance patient care, drive cost efficiency, and deliver measurable improvements to healthcare operations.” 

Data Kinetic’s key solutions for the healthcare industry include the Social Determinants of Health (SDH) application and the CMS Fraud Detection system, which is deployed within the healthcare provider’s infrastructure to identify fraudulent activities using over 480 models and nine graph variations. 

This Fraud Detection system is claimed to have a high accuracy rate of 94%. 

Additional offerings include the Hospital Patient Volume Forecasting application, which leverages historical data and real-time streams to predict patient volumes, and a platform for predicting hospital stay lengths and optimising staffing to reduce costs and improve resource management.  

Data Kinetic also provides solutions for detecting adverse drug impacts caused by social media conversations, and for understanding the complexities of the medical supply chain by employing AI to improve demand forecasting accuracy.