AI in healthcare

What is the purpose of a provider taxonomy in healthcare analytics?

• To manage financial transactions

• To classify providers based on specialty, organization, or service type

• To track patient recovery

• To organize disease categories

In provider relationships, a referral network typically illustrates:

• Insurance payments flow

• The direction of patient referrals between providers

• Provider schedules

• Regulatory oversight

Which of the following best describes a predictive modeling process?

• Collecting unrelated data for statistical testing

• Manually creating decisions based on expert opinions

• Estimating costs from current reports

• Using historical data to forecast future outcomes

What is the first step in a typical predictive modeling process?

• Data collection and preprocessing

• Model evaluation

• Feature elimination

• Deployment

In predictive modeling, feature selection is important because it:

• Reduces database size

• Removes patients from the dataset

• Improves model accuracy and reduces overfitting

• Encrypts data for privacy

The Analytic Maturity Model represents:

• Stages of disease progression

• Levels of data use sophistication in decision-making

• Server capacity in data centers

• Number of patients treated per provider

At the Descriptive Analytics level of maturity, the main goal is to:

• Understand what has happened using past data

• Predict future events

• Make autonomous decisions

• Simulate possible outcomes

The highest stage in the Analytic Maturity Model is:

• Diagnostic Analytics

• Predictive Analytics

• Prescriptive Analytics

• Historical Analytics

A relationship map of providers helps to:

• Track stock performance

• Count available hospital beds

• Understand how different providers interact with each other

• Identify pharmacy locations

What is meant by Historic Addressable Opportunity?

• Forecast of next year's revenue

• The value of care that could have been improved in the past

• Hospital waiting times

• Physician training scores