ML-powered early detection of pregnancy complications

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August 25, 2023

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Elythea

Pregnancy support

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ML-powered early detection of pregnancy complications

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Elythea is a machine learning tool specifically designed to identify expecting mothers who are at a high risk of pregnancy complications weeks in advance of delivery.

It aims to improve 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 offers a three-step process. Firstly, it seamlessly integrates with your electronic health record (EHR) system, whether it is cloud-based or on-premises, minimizing administrative effort.

Secondly, Elythea analyzes patient demographics, medical history, and existing clinical risk factors to promptly identify high-risk mothers throughout their pregnancy, starting from the first visit.

Lastly, it provides evidence-based recommendations to healthcare providers, 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.

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August 25, 2023

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Pros and Cons

Pros

Identifies high-risk pregnancies

Reduces pregnancy-related deaths

Focuses on various complications

Integrates with EHR systems

Analyzes patient demographics

Analyzes medical history

Identifies risks early in pregnancy

Offers evidence-based recommendations

Utilizes 300+ million data points

85% prediction accuracy

0.85 AUC ROC score

Used globally in clinical studies

Experienced team

Seeks to contain healthcare costs

Minimizes administrative effort

Facilitates early intervention

Targets preventable pregnancy complications

Cross platform EHR compatibility

Offers partnership to health providers

Addresses preeclampsia & eclampsia

Addresses VBAC failures

Addresses postpartum hemorrhage

Addresses preterm labor

Can aid in reducing NICU admissions

Addresses maternal outcomes

Substantial patient database

Aims to lower hospitalization costs

Designed for high-risk mothers

Designed specifically for maternal healthcare

Highly specialized tool

Aims to simplify healthcare provider's lives

View 26 more pros

Cons

Limited to specific pregnancy complications

Accuracy only up to 85%

Dependent on EHR integration

No mobile application mentioned

Potential for false positives

Requires extensive patient history

Only serves pregnant women

Accessible to medical professionals only

Prediction not 100% reliable

Unclear data protection measures

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Q&A

What is Elythea?

Elythea is a machine learning tool specifically designed for the identification of expecting mothers at high risk for pregnancy complications. It focuses on various complications including postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC).

Who is behind Elythea?

Elythea is a creation of its founder and CEO, Reetam Ganguli, who possesses substantial medical field experience, and Rishik Lad, the co-founder and CTO, a previous machine learning engineer. Its advisory team comprises medical professionals and machine learning experts.

What is the main purpose of Elythea?

Elythea's main purpose is to improve maternal healthcare by identifying high-risk pregnancies in advance, thereby addressing preventable complications and reducing fatalities related to pregnancy.

How does Elythea integrate with my electronic health record system?

Elythea integrates with your Electronic Health Record (EHR) system, be it a cloud-based or an on-premises model. It seamlessly pulls data from EHRs, making the integration process faultless with minimal administrative stress.

What types of pregnancy complications does Elythea focus on?

Elythea concentrates on many complications including postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC).

How does Elythea identify high-risk mothers?

To identify high-risk mothers, Elythea uses algorithms to analyze demographics, patient history, and existing clinical risk factors, offering insights throughout the course of the pregnancy from the maiden visit.

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How accurate is Elythea's prediction model?

Elythea's prediction model boasts an accuracy of up to 85%, offering reliable and effective risk identification.

What kind of data does Elythea use to train its model?

Elythea trains its prediction model using more than 300 million patient data points. These include a broad spectrum of demographics, medical histories, and clinical risk factors.

What are the steps involved in the Elythea process?

The Elythea process entails three steps. The first step is integration with your EHR system. The second step involves the analysis of demographics, patient history, and existing clinical risk factors to flag high-risk mothers as early as the first visit and throughout the course of a pregnancy. The final step is to provide evidence-based recommendations for early intervention and counselling.

Can Elythea be used in any country?

Yes, Elythea has a global footprint. It has been utilized in clinical studies across multiple countries.

How does Elythea help to reduce pregnancy-related deaths?

Elythea aids the reduction of pregnancy-related deaths by identifying high-risk pregnancies weeks ahead of delivery. This allows for early interventions and counseling, ultimately mitigating preventable complications.

What are the benefits of using Elythea in healthcare?

The benefits of Elythea in healthcare include the improvement of maternal outcomes by the prevention of high-risk pregnancy complications, the simplification of administrative tasks through seamless EHR integration, and the detailed insights it offers for intervention and patient counseling.

How does Elythea help to contain costs in healthcare?

Elythea helps to contain costs in healthcare by using its predictive model to identify high-risk pregnancies and thereby avoid costly complications that require extensive medical care.

What is an AUC ROC score and how do I interpret Elythea's AUC ROC score?

AUC ROC or Area Under the Receiver Operating Characteristic curve is a performance measurement for the classification problems at various thresholds settings. It tells how much a model is capable of distinguishing between classes. Elythea's AUC ROC score of up to 0.85 suggests substantial efficacy in prediction and classification tasks.

What are the credentials of Elythea's founder, Reetam Ganguli?

Reetam Ganguli, the founder of Elythea, has significant experience in the medical field and has even founded a global medical education nonprofit. He is also an MD candidate at Brown.

Can Elythea be used by health providers, employers and plans?

Yes, Elythea's services can be leveraged by healthcare providers, employers, and health plan providers to improve maternal outcomes, contain healthcare costs, and simplify administrative tasks.

In which clinical studies has Elythea been utilized?

Specifics regarding which clinical studies Elythea has been utilized in are not available based on their website.

What is the strength of Elythea in preventing postpartum hemorrhage?

Utilizing machine learning models and native EHR integration, Elythea can identify 2 to 3 times more hemorrhaging patients when compared with traditional paper risk assessments. It can use clinical data as early as the first visit, hence facilitating proactive and effective hemorrhage management strategies.

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