How Are AI-Enabled Tools Transforming Clinical Decisions?

Clinical decision-making is a daily occurrence in healthcare. From diagnosing patients to determining the best next steps for care management, clinical decision-making affects patients’ health as well as healthcare provider organizations’ risks and costs. What if you could improve your decision-making?

Artificial intelligence (AI) enabled tools make that a possibility, giving you valuable insights and empowering you to make more effective clinical decisions. These tools help you treat the right people at the right time in the right way while reducing costs. Here’s a closer look at how AI-enabled tools are transforming clinical decisions.

AI-enabled tools improve the quality of your data, making it more powerful

In order to make informed clinical decisions, you need quality clinical data. However, generating insights from your data can be difficult when it’s scattered across EHR entries, handwritten notes, and more. Additionally, when you’re limited to the data your organization has collected, your data may not be as insightful as it would be if it were supplemented by data from other sources.

AI-enabled tools improve the quality of your data by cleaning it and enhancing it so it becomes more useful when making decisions. With Lumiata, for example, you can provide raw data from a variety of sources, including eligibility, claims, behavioral health, pharmacy, EHR, and other types of data. We then evaluate your datas quality, including data completeness, data accuracy, data sufficiency, and more, and provide a data quality report.

Following the raw data assessment, we enrich your data with our proprietary disease codes, clinical IP, and can even fill in gaps in care, and create Person360 records – records that contain detailed information about a patient’s coverage, claims, labs, medication, health, clinical encounters, and more. This data enables you to better evaluate a patient before taking action.

We also prep your data for AI and machine learning (ML) so it can be used in various data models and for making predictions. Our Lightning AI Model Builder and Spectrum AI Model Catalog provide insights that you can leverage when designing care management plans and planning the allocation of resources.

AI-enabled tools improve the quality and usefulness of your data. When you have better data, you can make better decisions.

AI-enabled tools let you train on data models and make predictions

In addition to enhancing your data, AI-enabled tools allow you to make use of data models and predictions, which give you the insights you need to make more informed clinical decisions. Data models can show you a wide range of information, such as group costs, total care utilization, diagnosis information, total risk, and more.

Lumiata’s Lightning AI Model Builder enables you to train on huge datasets without limiting your scientists’ imaginations or struggling with server issues. We have millions of healthcare-specific, auto-generated machine learning features that can be used to quickly build high-performing data models. Since you won’t be slowed down by server issues or large, clunky datasets, you can quickly access millions of records and scale as your needs evolve.

Our Spectrum AI Model Catalog offers more than 100 pre-trained models to help you solve real healthcare problems. These models can be used as-is or customized to fit your unique needs. Our financial model suite is up to 80% more accurate than the nearest competitors’ cost prediction models, and our clinical suite is up to 65% more accurate than the leading carrier. Our financial models help you identify and predict high-cost patients, group cost, and stop-loss, while our clinical models help you identify and predict chronic conditions, disease onset, and hospitalizations. Some of our most popular data models include High-Cost Patient/Member, Population Costs, Cost Bloomers, Total Risk, Total Utilization, Disease Onset (for acute and chronic diseases like acute hemorrhagic stroke, asthma, bipolar disorder, coronary artery disease, and obesity), Medical Event (such as the need for back surgery, hip replacement, and ED visits), Hospital Admission, Hospital Readmission, and more.

With better visibility into your population and the ability to identify patients who are likely to develop diseases or need medical interventions, you’re able to make better decisions about patient care and plan for costs.

Ai-enabled tools, Lumiata

AI-enabled tools help you make more informed decisions about care

Working with enhanced data and AI-enabled tools makes it easier to make informed decisions about patient care. When you have actionable insights, helpful predictions, and can more clearly see risks, you can better determine the best next steps, including intervening sooner, providing the right care, and doing it all in a timely manner and on budget.

For example, if you use Lumiata’s AI and ML products to predict the onset of Diabetes Type 2 in a patient, you can adjust that patient’s care management plan and address the risks that may lead to diabetes. Not only does this allow you to provide the right care at the right time to help your patient stay healthy, it also helps you avoid costly treatments that may have been needed had you not intervened. Similarly, using our AI-enabled tools to predict hospital admissions can help you decide the necessary steps to improve patient care and prevent hospital stays and expensive procedures.

Being able to identify risks and predict patient needs also helps your care team know what to expect so you can plan accordingly. This makes your team more prepared and more efficient.

AI-enabled tools help you see risks and make predictions so you can improve care management, reduce risks, and lower costs for patients and your organization.

AI-enabled tools help you reduce costs

Tools supported by artificial intelligence can help you more accurately diagnose and treat patients. By ensuring patients receive the right treatments at the right time, you can help reduce costs for patients and your healthcare provider organization. Identifying risks and the potential for disease onset enables you to treat health issues before they get worse and require more complex and costly solutions. You can also suggest less expensive treatments, depending on what’s available. Using insights from AI-enabled tools also helps ensure only the necessary treatments are being provided, so you’re not spending more money than needed on treatments.

Ai-enabled tools, Lumiata

Ready to make better clinical decisions?

Lumiata’s suite of AI-enabled tools helps you identify risks, make predictions, and gain valuable insight into your patient populations – all so you can make more informed clinical decisions.

Ready to give it a try? Click here to request a demo.