Elythea is a machine learning tool designed to identify expecting mothers at high risk of pregnancy complications weeks in advance of delivery. Its primary goal is to enhance maternal healthcare by addressing preventable pregnancy complications and reducing pregnancy-related deaths. Elythea focuses on various complications, including postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC).
The tool operates through a three-step process:
- Integration with Electronic Health Records (EHRs): Elythea seamlessly integrates with both cloud-based and on-premises EHR systems, minimizing administrative effort.
- Risk Factor Analysis: The tool analyzes patient demographics, medical history, and existing clinical risk factors to promptly identify high-risk mothers throughout their pregnancy, starting from the first visit.
- Evidence-Based Recommendations: Elythea provides healthcare providers with evidence-based recommendations, enabling early intervention and counseling to prevent expensive complications.
Elythea boasts a substantial amount of patient data, with over 300 million data points used in model training. The tool achieves prediction accuracy of up to 85% and an AUC ROC score of up to 0.85. It has been utilized in clinical studies conducted in multiple countries.
The team behind Elythea includes its founder and CEO, Reetam Ganguli, who has substantial experience in the medical field, and Rishik Lad, the co-founder and CTO, who previously worked as a machine learning engineer. The advisory team consists of medical professionals and machine learning experts.
Overall, Elythea aims to improve maternal outcomes, contain healthcare costs, and simplify the lives of healthcare providers by offering a partnership to health providers, employers, and plans.
More details about Elythea
What are the steps involved in the Elythea process?
The Elythea process consists of three key stages. Initially, it involves integrating with your Electronic Health Record (EHR) system. Following this, it entails analyzing demographics, patient histories, and prevalent clinical risk factors to identify high-risk mothers from their first visit and continuously throughout pregnancy. Finally, the process delivers evidence-based suggestions for early intervention and counseling.
In which clinical studies has Elythea been utilized?
Specific information regarding the clinical studies where Elythea has been employed is not provided on their website.
How accurate is Elythea’s prediction model?
Elythea’s predictive model boasts an accuracy rate of up to 85%, ensuring dependable and efficient risk identification.
What is Elythea?
Elythea is a machine learning tool tailored for pinpointing expecting mothers at high risk for pregnancy complications. It concentrates on a range of issues such as postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and unsuccessful vaginal birth after cesarean (VBAC).
