Machine Learning - Prominence

Machine Learning & Generative AI

Predict Outcomes with Machine Learning Models. Do More With Your Data to Predict Trends and Outcomes.

Transition from reactive to proactive analytics with machine learning. Our team of experts can develop a cutting-edge machine learning model for your organization to identify opportunities to save time and money, predict likely patient outcomes, optimize operations, and personalize care for better, more efficient patient care.

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Unlock Predictive Models for Proactive Solutions

Is your organization retroactively analyzing your data to find future improvements? This can lead to missed opportunities.

 

Our machine learning experts can transform this process by using models to predict future trends and outcomes. This cutting-edge technology shifts health systems from reactive to proactive, enabling data-driven decisions that save time and money, predict likely patient outcomes, optimize operations, and personalize care for better, more efficient patient care.

download the solution brief

ML to More Accurately predict c-section risk

By identifying high-risk cases early using a Machine Learning model, allow your providers to enhance patient preparation, timely intervention, or proactive scheduling, leading to improved outcomes and reduced costs.

 

Leverage our proven solutions to take data, like the sample below, and create a model to predict the likelihood of an unplanned c-section: 

Early Risk Prediction

Forecast unplanned C-section probabilities to enhance patient care

Cost Savings

Reduce costs associated with emergency interventions

Improved Outcomes

Enable better preparation and timely medical actions

structure 340b pharmacy notes using genai

Utilize Generative AI to extract structured data from vast quantities of unstructured notes, enabling advanced analytics and more efficient data management. By summarizing unstructured data and enabling predictive analytics, healthcare providers can drive efficiency and make informed decisions.

Structure Data

Convert unstructured pharmacy notes into actionable data

Efficient Data Management

Utilize structured data to run advanced analytical models

Predictive Analytics

Improve decision-making processes through efficient data management

how mature is your ml/ai structure?

Take this short survey to gain insight into your organization’s preparedness for ML and AI.

Predictive Analytics Workflow

Our team of Machine Learning experts is ready to execute the following workflow at your organization to drive rapid results in predictive analytics.

 
Frame the Problem
Collect the Data
Model & Simulate
Implement & Explain
What problems are you facing? Could a predictive model be part of the solution?
Gather relevant structured and unstructured data and collaborate with SMEs to generate novel features.
Experiment across dozens of model/hyperparameter combinations to develop a predictive model and evaluate vs. current workflows.
Integrate the model’s output into existing workflows and allow the model to keep learning over time.
 

ML Solutions to Reduce Administrative Burden and Improve Decision Making

In this Basecamp session, Prominence’s Director of Data Science, Andrew Williams, showcases how healthcare organizations are utilizing machine learning to transcend traditional analytics to make more accurate predictions. Through real-world case studies, you’ll learn how these innovations are driving efficiency and enhancing patient care.
 
Key takeaways:
  • How machine learning can extract actionable features from unstructured clinical notes to inform decision-making.
  • Why vector databases are critical for managing complex, high-dimensional healthcare data.
  • Real-world case studies highlighting successful AI and ML implementations in leading health systems.

MACHINE LEARNING USE CASES IN HEALTHCARE

If you could benefit from predictive analytics in any of the below areas, get in touch with our team today to learn more. Train a machine learning model to unlock predictive analytics. 

Revenue Cycle

DRG Classifier
No-Show Appointment Prediction
Hospital Length of Stay
Denials Reduction
House Census

Clinical

Fall Risk
Hospital Readmission

Operations/Personnel

Provider Attrition
Staff Overtime Likelihood

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MACHINE LEARNING IN ACTION: DOWNLOAD THE WHITE PAPER​

Want to see Machine Learning in action? Download the white paper below to read about an in-depth example of Machine Learning in action.
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Case studies

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