Elumina Health. has announced the launch of AI-based patient risk triaging capabilities in its Basis EHR system. The platform leverages artificial intelligence to identify home healthcare patients at elevated risk for hospitalization based on their demographic and medical data, enabling clinicians to monitor high-risk individuals more closely to reduce hospital readmissions.
Basis EHR was developed specifically to address gaps in traditional electronic health record systems that weren't designed for the unique challenges of post-acute home healthcare. The platform supports a wide range of services, including skilled nursing, physical and occupational therapy, speech therapy, and medical social work, while integrating AI to boost efficiency and streamline care coordination. By automating clinical documentation, Basis EHR helps reduce administrative burden, allowing healthcare professionals to devote more time to direct patient care. "Traditional EHR systems weren't built with home healthcare in mind," notes Dr. Sreeram Mullankandy, Product Leader at Elumina Health. "We saw an opportunity to leverage AI to create something that could truly transform how care is delivered in the post-acute space."
The company reports significant growth, with a tenfold increase in patient volumes over three years. The EHR system's design focuses on automating documentation and administrative processes, which can help healthcare providers allocate more time to direct patient care. Elumina Health is expanding its focus beyond its initial home healthcare application to include Durable Medical Equipment (DME), hospice care, and physician offices. The company expects to increase its market presence by 2025, with interest from providers in and beyond the Columbus region.
Developed in Columbus, Ohio, the Basis EHR system demonstrates that healthcare technology innovation can emerge from smaller teams outside traditional technology centers. Designed to deliver essential capabilities with fewer resources than conventional systems, Basis showcases how focused technology development, paired with clinical understanding, can tackle unique challenges in specialized care settings.
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