AITRICS - ezCaretech to Sign MOU to Enhance AI-Based Medical Services
2024-07-30
Collaborating to Enhance the Product and Pursue New Business Opportunities… Anticipating Expansion in Domestic and International Markets
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AITRICS (CEO Kwang joon Kim), a company specializing in artificial intelligence (AI) technology announced on the 30th that it has signed a Memorandum of Understanding (MOU) with digital healthcare company ezCareTech, led by CEO Won-Ryang Wi, to enhance AI-based medical services.
During this ceremony, both companies agreed to jointly explore new business opportunities related to AI solutions for predicting patient deterioration, utilizing hospital information system (HIS) services. They will discuss detailed plans to integrate AITRICS’ patient deterioration prediction software with ezCareTech’s HIS technology and aim to specify various collaborative efforts in the future.
Based on this partnership, both sides expect to strengthen their competitiveness in domestic and international healthcare markets. Additionally, by integrating AITRICS's patient deterioration prediction AI solution with ezCaretech's advanced HIS, they aim to enhance the product and provide healthcare professionals with a higher potential for patient treatment.
Kwang-joon Kim, CEO of AITRICS said, "Collaboration with ezCaretech will not only help expand VitalCare’s presence in the domestic market but also assist in entering international markets. We will continue to strive to be a medical AI company that encompasses the entire patient journey through healthcare data analysis.”
CEO Wi Won-ryang of ezCaretech remarked, “The cooperation between ezCaretech and AITRICS will serve as an opportunity to meet various market demands and provide enhanced medical services to patients and healthcare professionals. We aim to become a central player in the healthcare ecosystem through comprehensive collaboration.”
Meanwhile, AITRICS's AITRICS-VC (Vital Care) utilizes a total of 19 data, including 6 vital signs, 11 blood test results, age, and GCS, to predict the risk of Major Adverse Events (mortality, unexpected ICU transfer, CPR), sepsis in general wards. and mortality in ICU.