Mr. Antonio Baldassarre reports

UNIDOC EXPANDS AI CAPABILITIES TO EMERGENCY ROOM PATIENTS

Unidoc Health Corp. has expanded its existing AI (artificial intelligence) partnership with DocBox Inc., further integrating advanced monitoring and predictive analytics into emergency room (ER) operations. This enhancement focuses on optimizing care for non-urgent ER visitors to improve efficiency and patient outcomes.

Key take-aways:

• Predictive analytics in ER monitoring for improving patient safety and operational efficiency;
• Management of non-urgent and less-urgent visits, which can comprise over 50 per cent of ER traffic;
• Pro-active medical intervention capabilities through advanced algorithms that predict potential health declines.

Unidoc chief executive officer Antonio Baldassarre commented: "Building on our fruitful partnership with DocBox, we are now taking a step forward by enhancing our capabilities in emergency care. This expansion enables us to manage the flow of non-urgent patients, freeing up critical resources for more severe cases. By integrating DocBox's sophisticated predictive technology, we can anticipate patient needs and intervene before situations escalate, which is crucial for patient care and resource management. This development is not just a progression of our services; it is a step towards bolstering emergency health care."

The extended collaboration will see the implementation of DocBox's innovative monitoring systems in ERs, equipped to handle Canadian Triage and Acuity Scale (CTAS) Level 4 and Level 5 patients with real-time data analysis and alert capabilities. CTAS Level 4 and Level 5 patients are emergency room non-urgent patients that still require medical assessment and care. This system ensures that deviations in patient health are promptly addressed, allowing for immediate and appropriate medical responses.

Predictive algorithms from DocBox aim to analyze patient data trends to foresee declines in health status, thereby empowering the medical team to take pre-emptive actions. This technology is expected to be an advantage in how ERs manage patient care, particularly for those conditions that do not require immediate, acute medical attention but could potentially worsen if left unmonitored.

As part of this partnership expansion, Unidoc aims to address the widespread issue of ER overcrowding by more efficiently managing patient loads, especially for non-urgent cases. This approach not only aims to improve patient experiences by reducing unnecessary wait times but also to enhance the overall efficiency of health care services. Recently, there have been reports that these non-urgent cases can make up over 50 per cent of ER visits.

DocBox chief executive officer Bobby Shah added: "Our ongoing partnership with Unidoc has already shown potential in transforming health care delivery. With this expansion, we hope to make even greater impacts in emergency care. Our technology is designed to advance how health care providers manage and respond to patient needs, ensuring that every patient receives timely and effective care. We believe this is a pivotal moment for us as we continue to push the boundaries of what's possible in medical technology and patient care."

This enhanced partnership reaffirms Unidoc and DocBox's commitment to innovation and excellence in health care, promising to set new standards in the efficiency and effectiveness of emergency room operations.

About Unidoc Health Corp.

Unidoc is developing an e-health solution that is being designed as a self-contained remote virtual clinic within a private kiosk for patients to undergo full consultations as if they were present in a physician's office. E-health opens the doors to a large segment of the population challenged by access, experience or understanding of on-line computer technology. It is the company's belief that physical accessibility is the key to its business proposition. Unidoc is dedicated to unlocking shareholder value by delivering an excellent product and sophisticated commercial network within an expedited time frame.

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