AI Solutions for Healthcare

We harness advanced AI and Machine Learning methods, such as Generative AI and Deep Learning, to tailor-make optimized recommendation engines for the healthcare industry.

Patient Outcomes

Improve

  • Description:
    Predict major medical conditions in the next 6 months. Provide actionable insight for at-risk patients

    Recommended Actions:
    Use the model to identify at-risk patients for proactive risk management.

    Teams Involved:
    Care Management

  • Description:
    Predict likelihood of hospital admission and re-admission in the next 6 months​. Provide actionable insights for high-risk patients

    Recommended Actions:
    Use AiME Hospital Admission Prediction model to identify at-risk patient for proactive care management.

    Teams Involved:
    Care Management

Optimize

Business Operation

  • Description:
    Optimize healthcare provider network to achieve business objectives (medical cost saving and quality improvement), while meeting regulatory and member satisfaction requirements

    Recommendations:
    Leverage AiME Provider Network Optimizer to achieve substantial cost saving and quality improvement

    Teams Involved:
    Product, Network, Finance, Actuary

  • Description:
    Establish price elasticity between market share and product offer (benefit, price, network type) at county level. Optimize product offer to achieve competitive advantage​

    Recommendations:
    Use AiME Market Share Optimizer in product design and market share estimate.

    Teams Involved:
    Product, Actuary, Finance

  • Description:
    Forecast # of existing member retention for the next 12 months by cohorts.

    Recommended Actions:
    Short- and long-term financial planning

    Teams Involved:
    Finance, Operations

  • Description:
    Forecast # of new member enrollments for the next 12 months by cohorts

    Recommended Actions:
    Financial planning and simulation

    Teams Involved:
    Finance, Operations

  • Description:
    Predict the propensity of a member retention in the next enrollment cycle. Provide top three personalized risk factors for each at-risk member​

    Recommended Actions:
    Use AiME Retention Risk Model to identify at-risk members for proactive retention efforts

    Teams Involved:
    Retention, Operation

  • Description:

    Identify specific areas for improvement and provide actionable recommendations, by continuously analyzing data such as call, survey, chat, email and social data. Substantial improvement in accuracy through ChatGPT technology

    Recommended Actions:

    Develop initiatives to improve member services and engagements

    Teams Involved:

    Care Management, Services, Leadership

Our Product Advantages

AI Made Easy Solution Advantage Comparison Chart

Want actionable insights from large unstructured data?

We are the pioneers in leveraging GPT-4 to creating actionable insights from large unstructured data such as patient review, call, chat data.