Category: Sepsis

Medicasci CDS for Sepsis Risk Prediction Completes Multi-Institutational Usability Study

December 31, 2025 • Miami, Florida INFOTECH Soft has completed multi-institutional usability study of the Medicasci® CDS for Sepsis Risk Prediction pilot. Experienced emergency department and intensive care physicians from three institutions across the United States participated in an evaluation of the Medicasci sepsis risk predictions and user interfaces. Medicasci CDS for Sepsis Risk Prediction usability pilot was deployed as an add-on to OpenEMR and configured with real-world de-ide

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ACM Health Paper: Predicting Sepsis Onset in ICUs: A Graph Neural Network Framework with Uncertainty Estimation

December 1, 2025 • Miami, Florida Our foundational research, "Predicting Sepsis Onset in ICUs: A Graph Neural Network Framework with Uncertainty Estimation," has been accepted by ACM Health, showcasing the Deep-CDS technical performance that forms the basis of the Medicasci® Sepsis Risk Prediction system. Stay tuned for the our full ACM Health manuscript.

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INFOTECH Soft Completes Phase II: Deep Learning Semantic Data Lake for Clinical Decision Support

September 1, 2025 • Miami, Florida INFOTECH Soft has successfully completed the NIGMS-funded SBIR grant "Deep Learning Semantic Data Lake for Clinical Decision Support". Deep-CDS is a cloud-based semantic data lake for clinical decision support that integrates data across a hospital’s informatics resources to capture a comprehensive picture of each patient’s health status and utilizes a deep graph generative model to assess risk of developing sepsis-related symptoms and complication

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Medicasci CDS for Sepsis Risk Prediction Begins Clinical Pilot at California Hospital

July 1, 2025 • Miami, Florida Medicasci® CDS for Sepsis Risk Prediction has been deployed at a large California healthcare system in the first clinical pilot study of the Medicasci project. About Medicasci CDS for Sepsis Risk Prediction (Pilot) Medicasci® CDS for Sepsis Risk Prediction is a deep learning system for context-sensitive clinical decision support for monitoring and predicting the deterioration of patient health and progression of sepsis risk factors in real-time to impr

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Medicasci CDS for Sepsis Risk Prediction deployed on OpenEMR

October 1, 2024 • Miami, Florida Medicasci® CDS for Sepsis Risk Prediction has been deployed as an add-on to OpenEMR. About Medicasci CDS for Sepsis Risk Prediction (Pilot) Medicasci® CDS for Sepsis Risk Prediction is a deep learning system for context-sensitive clinical decision support for monitoring and predicting the deterioration of patient health and progression of sepsis risk factors in real-time to improve outcomes and optimize the management of care across the hospital pop

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Medicasci CDS for Sepsis Risk Prediction (Pilot) Registered in Epic App Orchard

September 1, 2024 • Miami, Florida Medicasci® CDS for Sepsis Risk Prediction (Pilot) has been registered in Epic System's App Orchard. About Medicasci CDS for Sepsis Risk Prediction (Pilot) Medicasci® CDS for Sepsis Risk Prediction is a deep learning system for context-sensitive clinical decision support for monitoring and predicting the deterioration of patient health and progression of sepsis risk factors in real-time to improve outcomes and optimize the management of care across

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NIGMS Funds SBIR Phase II: Deep Learning Semantic Data Lake for Clinical Decision Support

March 2, 2023 • Miami, Florida INFOTECH Soft has begun Phase II research and development of our NIGMS-funded SBIR grant "Deep Learning Semantic Data Lake for Clinical Decision Support". Deep-CDS is a cloud-based semantic data lake for clinical decision support that integrates data across a hospital’s informatics resources to capture a comprehensive picture of each patient’s health status and utilizes a deep graph generative model to assess risk of developing sepsis-related symptoms

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NIGMS Funds SBIR Phase I: Deep Learning Semantic Data Lake for Clinical Decision Support

September 7, 2022 • Miami, Florida The National Institute of General Medical Sciences has funded our SBIR grant "Deep Learning Semantic Data Lake for Clinical Decision Support".  Deep-CDS is a cloud-based semantic data lake for clinical decision support that integrates data across a hospital’s informatics resources to capture a comprehensive picture of each patient’s health status and utilizes a deep graph generative model to assess risk of developing sepsis-related symptoms an

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