Elythea

What is Elythea?

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.

Who created Elythea?

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%.

What is Elythea used for?

• Identification of expecting mothers at high risk for pregnancy complications
• Focus on complications like postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed Vaginal Birth After Cesarean (VBAC)
• Improvement of maternal healthcare by identifying high-risk pregnancies in advance
• Integrating with Electronic Health Record (EHR) systems
• Using algorithms to analyze demographics, patient history, and clinical risk factors for risk identification
• Prediction model boasting up to 85% accuracy
• Using over 300 million patient data points for training the model
• Global utilization in clinical studies
• Aiding in reducing pregnancy-related deaths by identifying high-risk pregnancies early
• Containing healthcare costs by identifying high-risk pregnancies to avoid costly complications
• Identification of high-risk pregnancies
• Prevention of pregnancy complications like postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC)
• Integration with Electronic Health Record (EHR) systems
• Early detection of risks through patient data analysis
• Improvement of maternal healthcare outcomes
• Reduction of pregnancy-related deaths
• Offering evidence-based recommendations for early intervention and counseling
• Utilizing over 300 million patient data points for training
• Predictive model accuracy up to 85%
• Identifies high-risk pregnancies
• Reduces pregnancy-related deaths
• Focuses on various complications
• Analyzes patient demographics
• Analyzes medical history
• Identifies risks early in pregnancy
• Offers evidence-based recommendations
• Utilizes 300+ million data points
• Aids in reducing NICU admissions
• Addresses maternal outcomes
• Detection of various complications including postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC)
• Analysis of demographics, patient history, and clinical risk factors
• Early identification of high-risk mothers
• Prediction model with up to 85% accuracy
• Training the model using over 300 million patient data points
• Reduction of pregnancy-related deaths through early interventions and counseling
• Containment of healthcare costs by identifying high-risk pregnancies to avoid costly complications

Who is Elythea for?

• Healthcare providers
• Employers
• Health Plan Providers
• Medical professionals
• OBGYNs
• Nurse Practitioners
• MFMs (Maternal-Fetal Medicine Specialists)
• Doulas
• Nutritionists
• Mental health professionals
• Dieticians
• Physical Therapists

How to use Elythea?

To use Elythea for detecting and preventing pregnancy risks, follow these steps:

1. Integration: Connect Elythea with your Electronic Health Record (EHR) system to seamlessly pull data for analysis.

2. Data Utilization: Elythea leverages over 300 million patient data points covering demographics, medical histories, and clinical risk factors for training its prediction model.

3. Risk Identification: Elythea's prediction model analyzes patient demographics, history, and risk factors to identify high-risk mothers early in pregnancy.

4. Recommendations: Receive evidence-based recommendations for early interventions and counseling tailored to individual risk factors.

5. Global Usage: Elythea can be used in various countries and has been part of clinical studies worldwide.

6. Cost Containment: The tool helps contain healthcare costs by identifying high-risk pregnancies to prevent costly complications.

7. Benefits: Elythea improves maternal outcomes, streamlines administrative tasks through EHR integration, and offers detailed insights for intervention and patient counseling.

8. 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.

9. Founder and Team: Founded by Reetam Ganguli, Elythea has an experienced team combining medical and machine learning expertise.

10. Specialized Care: Elythea focuses on specific complications like postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed VBAC to enhance maternal healthcare.