Elythea is a machine learning tool designed to identify expecting mothers at high risk for pregnancy complications. It focuses on complications such as postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC). The tool integrates with Electronic Health Record (EHR) systems, analyzes patient demographics and medical history, and offers evidence-based recommendations with up to 85% prediction accuracy. Elythea aims to simplify healthcare provider's lives by streamlining early intervention and targeting preventable pregnancy complications.
Elythea was created by founder and CEO Reetam Ganguli along with co-founder and CTO Rishik Lad. The company was launched on August 25, 2023. Elythea is a machine learning tool focused on identifying high-risk pregnancies and pregnancy complications, such as postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed VBAC. The company's main goal is to advance maternal healthcare by early risk detection and intervention. It integrates with Electronic Health Record (EHR) systems and boasts a prediction accuracy of up to 85%.
To use Elythea for detecting and preventing pregnancy risks, follow these steps:
Integration: Connect Elythea with your Electronic Health Record (EHR) system to seamlessly pull data for analysis.
Data Utilization: Elythea leverages over 300 million patient data points covering demographics, medical histories, and clinical risk factors for training its prediction model.
Risk Identification: Elythea's prediction model analyzes patient demographics, history, and risk factors to identify high-risk mothers early in pregnancy.
Recommendations: Receive evidence-based recommendations for early interventions and counseling tailored to individual risk factors.
Global Usage: Elythea can be used in various countries and has been part of clinical studies worldwide.
Cost Containment: The tool helps contain healthcare costs by identifying high-risk pregnancies to prevent costly complications.
Benefits: Elythea improves maternal outcomes, streamlines administrative tasks through EHR integration, and offers detailed insights for intervention and patient counseling.
Accuracy and Interpretation: Elythea's prediction model boasts up to 85% accuracy with an AUC ROC score of 0.85, indicating substantial efficacy in prediction tasks.
Founder and Team: Founded by Reetam Ganguli, Elythea has an experienced team combining medical and machine learning expertise.
Specialized Care: Elythea focuses on specific complications like postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed VBAC to enhance maternal healthcare.
Paid plans start at $120/month and include:
I appreciate the high accuracy rate of 85% in predicting high-risk pregnancies. It's reassuring to know that I can rely on data-driven insights to guide my patient care.
The integration with EHR systems can be a bit finicky at times, requiring some manual adjustments which can slow down the workflow.
Elythea helps identify patients at risk for serious complications early on, allowing for timely interventions. This not only enhances patient safety but also improves overall outcomes.
The evidence-based recommendations are incredibly helpful. They allow me to have informed discussions with my patients about their risks.
Sometimes, the system takes a while to process patient data, especially during peak hours.
It helps me identify patients who may need closer monitoring, which is crucial in preventing complications such as preterm labor.
I love that it integrates seamlessly with our existing EHR system, which minimizes disruption in our workflow.
The user interface could be more intuitive; it sometimes takes time to find the information I need.
It helps in early identification of at-risk pregnancies, which enhances our ability to provide proactive care to our patients.
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