Transforming Healthcare with AI

Deliver generative and predictive AI solutions for your patients and business in weeks, not months.

DataRobot empowers the healthcare industry by addressing the challenges posed by an aging global population and escalating healthcare system costs. As a trusted partner, DataRobot helps the world’s leading payers, providers, pharmaceutical companies, and retail pharmacies to enhance patient outcomes and optimize financial performance using AI.

In a rapidly expanding AI landscape where both predictive AI and large language models provide value, DataRobot is the go-to platform for data scientists and CIOs. By leveraging the DataRobot AI Platform and its powerful capabilities for building, hosting, and monitoring AI models, organizations can accelerate the deployment of AI solutions that are not only effective but also governed and transparent.

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What Does the Future Hold for Generative AI in Healthcare?

Learn how a hospital network with 12 locations & 27,000 employees is using AI today & how they are thinking about Generative AI moving forward.

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Healthcare Organizations Unlock Real Value with AI

90%
Share of healthcare leaders who believe that AI initiatives are important for their organizations to remain competitive in the market.
$235 billion
Potential annual reduction in medical costs, enabled by AI.
~50%
Share of healthcare professionals intending to adopt AI technologies.

AI Is Solving a Variety of Challenges in Healthcare

Leverage your complex data to
accelerate AI development

Automated, time-aware feature engineering on multimodal data lets you identify intricate medical patterns, build comprehensive risk models, and prototype swiftly, using diverse data sources like EHRs, claims, or lab data. Uncover the unseen solutions faster.

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Focus on delivering value, not managing infrastructure

Secure healthcare data with our HIPAA-compliant solution. Focus on urgent use cases, while we handle cloud infrastructure management, keeping your data secure and curbing TCO. Deploy, monitor, and stay assured of your data’s stringent protection.

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Build governed AI systems with confidence

Amidst rapidly evolving regulatory requirements, streamline compliance with one-click model assessments. From in-house to external models, uniformly apply our robust algorithm risk assessment, fostering transparency for your organization and regulators. Empower your data scientists and CIOs with swift, consistent reporting across all model deployments. Stay ahead with proactive regulatory adherence.

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Deliver personalized care and minimize operating costs

Elevate personalized preventive care while trimming operating costs using chat interfaces and the best-in-class large language models tailored to the patient. By integrating social determinants of health into ML models, patient-level information, and appropriate documents, we provide actionable insights, automated bias detection, and customizable bias mitigation in a digestible chat-based workflow, while leveraging crucial SDOH data.

Trusted by 7 of 10 Top Global Pharmaceutical Companies and 2 of Top 10 Healthcare Providers

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Delivering Value Across the Healthcare Industry with Hundreds of Active AI Deployments

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Providers

AI enables healthcare systems, providers, and administrators to make better decisions that enhance healthcare delivery, improve patient safety, and positively impact the healthcare experience. From the front lines of patient care and operations to revenue cycle and logistics, there are hundreds of opportunities for providers to implement Value-Driven AI, using both predictive and generative AI.

  • Clinical Applications

    Rapidly develop AI models with your data to support your patient population

    Use Cases:

    • Hospitalization / Readmission Propensity
    • Patient Risk Stratification/ Undiagnosed Conditions
  • Operations

    Forecast demand to optimize staffing, scheduling, and manage throughput

    Use Cases:

    • ER Patient Volume Forecasting
    • Length of Stay Prediction
    • Readmission Prediction
    • Surgical Volume Forecasting
    • Patient No-Show Prediction
    • Demand Forecasting / Late Shipments / Price Elasticity for Inventory Optimization
    • Nurse Attrition
  • Revenue Cycle Management

    Use predictive analytics to improve forecasted cash flow, reduce errors and accelerate payments

    Use Cases:

    • Denied claims prediction, triaging, and correction
    • Understand denial behavior by payer – and implement solutions from model insights
  • AI Governance and Regulation

    Implement complete transparency, governance, and auditability on all of your models, including those built outside of DataRobot

    Use Cases:

    • Bias and Fairness testing, mitigation and monitoring
    • Automated model compliance reporting and deployment reporting
    • Model transparency for clinicians, staff, and research
    • Use generative AI to create and update documents that adhere to standards and tailored to your organization.

Payers

AI can directly address the various challenges that payers currently face, whether it’s managing the constantly changing landscape of care to improve member health or understanding claims on a granular level.

  • Member Health

    Identify at risk patients, let members gather healthcare information specific to them using large language models (generative AI) and improve health outcomes while reducing cost of care

    Use Cases:

    • Medication adherence
    • Predicting future high cost/ high needs cohorts and intervention plans
    • Member population risk stratification
    • Accurate cost of care prediction
    • Knowledge base of patient record information for natural language query and explanation
  • Claims Processing

    Leverage AI to streamline all aspects of the claims processing process

    Use Cases:

    • Fraud, waste, and abuse detection
    • Automatic approvals of medications, referrals, or procedures
  • Premium and Member Management

    Optimize pricing and proactively mitigate member churn.

    Use Cases:

    • AI-enabled, value-based care arrangements
    • Denied claims prediction, triaging, and correction
    • Understand denial behavior by payer and implement solutions from model insights
  • AI Governance and Regulation

    Implement complete transparency, governance, and auditability on all of your models, including those built outside of DataRobot

    Use Cases:

    • Bias and Fairness testing, mitigation, and monitoring
    • Automated model compliance reporting and deployment reporting
    • Model transparency for clinicians, staff, and research
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Life Sciences

Accelerate all aspects of the product lifecycle, from drug discovery through manufacturing and customer delivery.

  • Research and Development

    Accelerate discovery of new drugs and fail fast during the process

    Use Cases:

    • ADMET prediction
    • Yield forecasting
    • Lead compound search and identification
    • Large scale research of patient population for cohort identification and risk factors
  • Clinical Trials

    Shorten cycle times and improve trial outcomes

    Use Cases:

    • Patient match for clinical trials
    • Clinical trial efficacy prediction
    • Site prediction
    • Participant churn
  • Manufacturing and Supply Chain

    Improve production and delivery to meet demand

    Use Cases:

    • Production demand forecasting at a highly granular level
    • Manufacturing yield optimization
    • Defective products and defect analysis
    • Drug delivery optimization
  • Sales and Marketing

    Understand unique market factors and optimize marketing, sales, and provider identification, using large language models and generative AI.

    Use Cases:

    • Target provider and patient identification
    • Personalized marketing
    • Uplift modeling and analysis of campaigns
    • Revenue forecasting
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Start driving value from AI

Let one of our data specialists guide you through a demo, or experience the platform for yourself in minutes.