Elythea for Providers

Elythea for
Providers

Elythea for Providers

Elythea is a machine learning platform that integrates into the EHR to help predict risk for complications of pregnancy weeks to months in advance of labor and delivery.

Elythea is a machine learning platform that integrates into the EHR to help predict risk for complications of pregnancy weeks to months in advance of labor and delivery.

We require no seperate platform and no extra data input/collection.

Elythea is a machine learning platform that integrates into the EHR to help predict risk for complications of pregnancy weeks to months in advance of labor and delivery.

We require no seperate platform and no extra data input/collection.

Problem

Problem

Problem

Preeclampsia & Eclampsia

Preeclampsia & Eclampsia

Cost 70% more ($7,500 vs. $4,400) and have a doubled length of stay (4.4 vs. 2.6 days) 1

Preterm Labor

Preterm Labor

Average $15,100 per baby and account for 47% of all infant hospitalization costs 2

C-Sections & VBAC

C-Sections & VBAC

Cesareans are 40% more expensive, and 1/3 of women will fail vaginal birth after cesarean 3

Postpartum Hemorrhage

Postpartum Hemorrhage

54% of cases were potentially preventable with 88% being provider-related 4

Evidence-based intervention
improves outcomes and reduces costs

Evidence-based intervention
improves outcomes and reduces costs

Evidence-based intervention
improves outcomes and reduces costs

80%
Reduction in preeclampsia
cases with a first-trimester
risk prediction model 5

45%
Reduction of cesarean risk with evidence-based interventions 6

$863
Saved per patient when implementing risk screening for preterm birth 7

68%
Reduction in postpartum hemorrhage cases with earlier intervention 8

Elythea
integrates into a disjointed maternal care network, utilizing evidence-driven practices to ensure women get needed care and interventions in advance of and between prenatal visits to minimize adverse outcomes

Our AI Models
outperform existing risk assessments

Our AI Models
outperform existing
risk assessments

Our AI Models
outperform existing risk assessments

Preterm Labor

6x

high-risk sensitivity improvement compared to existing cervical length assessments

Postpartum Hemorrhage

3x

greater high-risk sensitivity compared to the nationally implemeted CMQCC hemorrhage risk asssessment

3x

greater high-risk sensitivity compared to CMQCC PPH risk asssessment

VBAC

40%

improvement in AUC for predicting successful VBAC compared to clinical judgment

Clinical Validation

Clinical Validation

Completed retrospective studies testing our models on all 2021 US births
Our results match or exceed currently used risk assessments and models.

Prospective, international, multicenter studies testing on 2,000+ women

from 15 sites across Texas, Rhode Island, Cameroon, and Nigeria.

Conducting an international, multicenter RCT with 1,500+ women
across 5 African countries to show that hospitals using Elythea have lower complication rates and costs. 

Working with the Beth Israel Deaconess Center of Harvard Medical School

to conduct a prospective and randomized control trial, pending IRB clearance.

Completed retrospective studies testing our models on all 2021 US births
Our results match or exceed currently
used models.

Prospective, international, multicenter studies testing on 2,000+ women

from 15 sites across Texas, Rhode Island, Cameroon, and Nigeria.

Conducting an international, multicenter RCT with 1,500+ women
across 4 African countries to show that hospitals using Elythea have lower complication rates and associated costs. 

Working with the Beth Israel Deaconess Center of Harvard Medical School
to conduct a prospective and randomized control trial as well, currently pending IRB clearance.

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© Elythea, inc, all rights reserved

© Elythea, inc, all rights reserved

© Elythea, inc, all rights reserved