How AI and Machine Learning Can Lead To Better Outcomes in Women’s Health and Pediatrics

Lumiata, AI, Women's Health

The importance of quality care for mothers and children can’t be overstated. While healthcare providers work hard to keep patients healthy and safe, the women’s health and pediatrics fields still struggle with poor pregnancy outcomes, poor-quality care, kids suffering from rare diseases and spending lots of time in the hospital, and “dirty” data that’s not in the right state to help solve these problems.

That’s where machine learning and artificial intelligence (AI) come in. When properly applied, this technology provides actionable insights you can use to provide better care for your patients and achieve more favorable outcomes.

At Lumiata, we use machine learning and AI, along with our own data and prediction models, to help you identify health risks and predict medical events. Armed with these insights, you can predict the medical needs of high-risk mothers and children, identify risks and intervene sooner, provide better care, and achieve better outcomes for women, babies, and kids. Here’s how Lumiata can help you solve some of today’s biggest problems in women’s health and pediatrics.

AI, High-Risk Pregnancy, Lumiata

Problem: Poor pregnancy outcomes

Even with improving healthcare, millions of newborns die every year within days or weeks of their birth, and hundreds of thousands of women die during pregnancy and delivery. This is especially true in low- and middle-income settings and often due to preventable causes.[i]

According to the Bill & Melinda Gates Foundation, newborns account for 47% of all childhood deaths globally.[ii] Additionally, they report that each year, 2.5 million newborns die within their first month of life and an additional 2.6 million are stillborn.[iii]

Being able to improve maternal health and identify health risks as soon as possible is crucial for ensuring healthy pregnancies and deliveries.

Solution: Predict high-risk pregnancies so you can intervene

With Lumiata’s AI and machine learning capabilities and prediction models, you can predict health risks that could lead to poor pregnancy outcomes, allowing you to more quickly take action, improve care, and increase the odds of a healthy pregnancy.

For example, with Lumiata, you can identify pregnancy risk factors such as anemia, pre-eclampsia, antepartum bleeding, antepartum depression, and more. Our capabilities also allow you to address and potentially prevent issues like preterm birth, perinatal mortality, low birth weight, and postpartum hemorrhage. Additionally, we provide data with claims information, including diagnosis and procedures associated with each mother.

With the ability to predict health risks and poor pregnancy outcomes, you can intervene sooner, create better care pathways, and achieve more favorable outcomes for women and babies.

Lumiata, AI, Women's Health Care

Problem: Poor-quality care

Poor-quality care can lead to preventable deaths. As the Lancet Global Health Commission states in a 2018 report, “Poor-quality care is now a bigger barrier to reducing mortality than insufficient access. 60% of deaths from conditions amenable to health care are due to poor-quality care, whereas the remaining deaths result from non-utilization of the health system.”[iv]

Improved care can prevent unnecessary deaths.

Solution: Better insights for improved care

Lumiata helps providers improve care through actionable insights and predictions. Imagine if you could easily identify the underlying causes of a health issue and see which patients have those issues. You’d be able to adjust their care management plans to address those underlying issues before the patients’ health problems became more severe. Lumiata makes this possible. When you can see what patients are experiencing and can predict health issues – such as the onset of a disease or a poor pregnancy outcome – you can take action to improve their care and their health.

Lumiata, AI

Problem: Kids suffering from diseases and spending time in hospitals

Kids deserve to be able to enjoy being kids, yet more than 3 million children are hospitalized in the US each year.[v] Children also account for more than half of the 30 million Americans living with a rare disease.[vi] What if you could predict the onset of diseases in children before they happened? How can you help kids spend less time in the hospital and more time at home just being a normal kid?

Solution: Predict and address issues earlier on to keep kids healthy and out of hospitals

Lumiata helps you predict diseases and hospital admissions so you can improve care for children and help keep them healthy. Our proprietary disease codes and prediction models, combined with your EHR or claims data, enable you to identify children who are likely to develop a disease or are at risk of hospitalization within the next 12 months.

With this knowledge, you can adjust and improve each child’s care management plan to address their health risks and help keep them out of hospitals and at home with their families.

Imagine being able to predict future care needs when a child visits the doctor or knowing ahead of time if a child entering the ED is likely to experience septic shock. Lumiata can help make this possible. Our solutions enable you to take real-time clinical information and create care paths to optimize the health and outcomes for children.

Problem: Your data isn’t helpful enough

You have some data in your EHR or claims records system, but how usable is it, really? How helpful is your data in identifying patients’ health risks and predicting future problems such as poor outcome pregnancies or childhood diseases? How big of an impact does your existing data have on the quality of care you’re able to provide patients? Simply having data isn’t enough; you need to be able to use it to improve patient care.

Solution: We make your data more valuable

Lumiata enhances your data so you gain actionable insights and predictions to help you intervene sooner, provide higher quality care, and achieve better outcomes for women, babies, and kids. We start by taking your EHR data and cleaning it and preparing it for machine learning. We then enrich it with our proprietary disease codes, which are backed by 35,000 curated hours of clinician analysis and input. Using our Spectrum Model Catalog with 100+ prediction tools specific to healthcare, we help you make predictions about the health of your patients, including predictions regarding the onset of disease or medical events. Empowered with these insights, you can identify high-risk patients and intervene in a timely manner to help keep your patients healthy.

Want to learn more?

If your data isn’t helping you save lives and proactively manage your patients, it’s time to make a change. Lumiata makes your data more usable so you can make predictions, intervene sooner, provide better care, and achieve favorable outcomes for women, babies, and children. Click here to request a demo.