Automated Machine Learning

Drives Healthcare Excellence



The healthcare industry has massive amounts of data available in health records, clinical trials, and billings and claims processing systems; and yet, the industry still struggles to unlock value in this data to drive better patient outcomes and comply with healthcare regulations.

Learn how automated machine learning is transforming healthcare.

Automated machine learning is helping transform the billions of data points collected in electronic health records, clinical trials, and billings and claims processing into predictions that drive down costs, improve operations, and ultimately, save lives.



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Transform operations through machine learning

Whether through cost minimization or revenue maximization, all facets of the healthcare industry — payers, providers, and pharmas — have the opportunity to greatly transform and improve their operations through machine learning. Here are some of the ways that the healthcare industry is already applying automated machine learning:



For consumer-facing teams, maximizing revenue is all about preventing churn. ELIZE Solutions machine learning platform helps payers automatically build accurate predictive models to identify customers likely to leave a payer, in addition to uncovering insights on pricing and service quality that help extend the lifetime value of customers.

By using risk stratification to prioritize the management of at-risk patients and prevent adverse outcomes, payers also have the opportunity to not only improve quality of care, but also dramatically reduce costs for all involved. Machine learning can help them create a system that better utilizes limited resources to process claims and handle fraud, minimizing overall costs.

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Improving patient outcomes whenever possible is the best way for providers to increase revenues while also reducing costs. For example, ELIZE Solutions quickly builds models that predict which patients are at a higher risk of contracting a healthcare-associated infection (HAI), allowing doctors to take proactive action while also significantly reducing costs.

The high rate of hospital readmissions is one of the biggest cost burdens on the healthcare industry. Another way for providers to minimize costs is through improving operational efficiencies. Models that provide insights on how to staff efficiently or manage medical inventory create improved efficiency that substantially reduces cost burdens.

Experts predict machine learning in pharma is expected to generate up to $100 billion in value annually by optimizing innovation and decision-making. Its potential applications in early-stage drug discovery — from initial screening of drug compounds to predicted success rate based on biological factors — could fundamentally change the life sciences research industry.

ELIZE Solutions helps pharma companies by automatically building highly accurate models that optimize the design of clinical trials, shorten the approval process, and greatly reduce pharma innovation costs. The pharma industry is rife with inefficiencies that could be solved through machine learning.

ELIZE Solutions Can Help You With:

► Reduced readmissions
► ICU utilization predictions
► HAIs
► Medication adherence
► Healthcare hot spotting
► Payer fraud