Category: Research

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

Continue Reading→

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.

Continue Reading→

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

Continue Reading→

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

Continue Reading→

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

Continue Reading→