Maternal deaths have been increasing in the United States even though most maternal deaths are preventable.[i]
The US has the highest mortality rate among developed countries, with the ratio of maternal deaths to live births in the US being twice as high as the ratios in France and Canada.[ii]
Fortunately, innovative technology can help care providers better monitor patients to achieve better outcomes. Using artificial intelligence and machine learning tools like Lumiata, you can predict high-risk patients, improve care based on each patient’s specific condition and needs, and help keep patients healthy.
Here’s a closer look at how you can use AI to reduce maternal mortality:
Predict high-risk patients
The sooner you know a patient is at risk of developing a pregnancy-related condition or experiencing complications during birth, the sooner you can address the issues and the more likely you are to prevent poor outcomes. Artificial intelligence (AI) and machine learning (ML) solutions can help you identify patients who are at high risk of developing various pregnancy-related conditions and complications.
These tools can detect patterns and risk factors that may not be as noticeable when you’re looking at patient data on your own. Lumiata, for example, uses AI to identify patients with pregnancy risk factors for pre-eclampsia, anemia, antepartum depression, antepartum bleeding, postpartum hemorrhage, and more.
With this insight, you can intervene sooner and provide better care for women who are at risk of maternal mortality and other pregnancy-related issues.
Improve care to achieve better outcomes
Improved insights allow for improved care and better outcomes. Artificial intelligence allows you to better monitor patients and step in sooner when they’re at high risk of pregnancy complications or need a more specific kind of care.
When you’re aware of how patients’ conditions are progressing and you can see which patients are likely to experience negative outcomes during pregnancy and birth, you can adjust their care pathways based on their specific needs and provide more specialized care.
By making sure pregnant women are receiving the right care at the right time, you can achieve better outcomes for your patients. Not only does this help patients stay healthy, but this also provides patients with a more personalized, positive care experience.
Reduce medical costs
In addition to reducing maternal mortality, AI can help reduce medical costs – good news considering medical costs can be significantly higher in cases of maternal mortality and morbidity.
Caring for severe maternal morbidity can include medical costs three times that of uncomplicated deliveries, increasing annual health care expenditure by millions to billions of dollars every year.[iii]
Artificial intelligence helps care providers identify health problems in pregnant women sooner, allowing providers to address and correct risk factors sooner and help patients avoid maternal mortality. This results in a reduced need for complex and costly procedures, reduced hospital readmissions, and reduced medical costs.
How Lumiata works
Lumiata uses artificial intelligence and machine learning to make predictions and provide actionable insight.
We take data from your electronic health records and evaluate it for quality, looking at data completeness, data accuracy, claims distributions, and more. Following this data quality assessment, we validate and normalize your data using our reference coding systems data and data model cross coding normalization feature.
If your data contains mixed coding systems across time, our system can transform healthcare-related codes from one coding system to another.
Our next step is to clean your data to remove incomplete, incorrect, duplicate, and improperly formatted data. Your data then goes through our disease tagging system, which finds indicators for diseases and chronic conditions linked at the individual person’s level.
We also enrich your data with our data, which comes from 130 million patient records, 35,000 physician curation hours, and 50 million published articles. This gives our system a massive amount of data to reference when making predictions.
With your data prepared and enriched, it’s turned into Lumiata Person360 records, longitudinal records of each person in your data. Person360 records are optimized for ML consumption and can be used with our Lightning AI Model Builder and Spectrum AI Model Catalog to make predictions regarding maternal mortality and other health factors and events.
The Lighting AI Model Builder allows your team to build high-performing data models using healthcare-specific ML features. The Spectrum AI Model Catalog enables you to choose from more than 100 ready-mades, pre-trained models that can be used as-is or customized based on your unique needs. Lumiata can also build data models for you.
With the Spectrum AI Model Catalog, you’ll have access to clinical models for chronic condition management, disease onset, hospitalization, and more. This allows you to identify risk factors and predict issues like disease onset, complications, and maternal mortality in pregnant women. We can also identify risk factors and predict problems for babies, including preterm birth, perinatal mortality, and low birth weight.
Lumiata also offers financial models and clinical models that can be used in other areas of healthcare, including actuarial and underwriting, data management, payment integrity, telemedicine, and more.
Our financial model suite is up to 80% more accurate than the nearest competitors’ cost prediction models, and our clinical model suite is up to 65% more accurate than the leading carrier.
With Lumiata, you gain valuable, more accurate insights into your data so you can identify risks, improve care, reduce costs, and achieve better outcomes.
Try Lumiata for yourself
At Lumiata, our vision is to democratize AI in healthcare to reduce costs and improve the quality of care. We built our products specifically with the business and delivery of healthcare data in mind, and we’re ushering in a new era of groundbreaking predictive analytics.
Our risk predictions and cost predictions consistently outperform legacy methods and are modernizing risk and cost management throughout the healthcare space. From generating insights regarding maternal mortality to supporting underwriting efforts, care management, data management, and more, Lumiata helps providers achieve positive outcomes for their patients and organizations.
Want to see how Lumiata can help your company? Click here to request a demo.