Healthcare Data AnalystCohort AnalysisIntermediateSingle prompt

High Utilizer Identification AI Prompt

This prompt identifies patients who drive disproportionate utilization and cost, then profiles what distinguishes them from the broader patient population. It is designed to support care management, population health, and cost-reduction programs by quantifying concentration of resource use and estimating savings scenarios. It is especially helpful when high utilization may be linked to behavioral health, social needs, or fragmented care.

Prompt text
Identify and profile high utilizer patients — those consuming a disproportionate share of healthcare resources.

1. Define high utilizers using these thresholds (adjust based on data):
   - ≥4 ED visits in the past 12 months, OR
   - ≥2 inpatient admissions in the past 12 months, OR
   - Top 5% of patients by total cost of care
2. Calculate what percentage of total visits, bed days, and costs are consumed by high utilizers
3. Profile high utilizers vs the general patient population:
   - Demographics (age, sex, payer mix)
   - Top 10 primary diagnoses
   - Prevalence of behavioral health diagnoses (depression, substance use disorder, anxiety)
   - Prevalence of social determinants of health flags (housing instability, food insecurity)
4. Calculate the average cost per high utilizer vs average patient
5. Identify the top 20 individual patients by total encounters — these are candidates for care management programs

Return a high utilizer profile and the potential savings if average utilization were reduced by 20% for this group.

When to use this prompt

Use case 01

when care management teams need to target super-utilizers

Use case 02

when you want to estimate how concentrated cost and utilization are

Use case 03

when behavioral health or social risk may explain repeated utilization

Use case 04

when you need a savings estimate tied to reducing heavy utilization

What the AI should return

A high-utilizer report showing cohort definition, concentration of visits and cost, subgroup profile, top high-use patients, and a modeled savings estimate from reducing utilization.

How to use this prompt

1

Open your data context

Load your dataset, notebook, or working environment so the AI can operate on the actual project context.

2

Copy the prompt text

Use the copy button above and paste the prompt into the AI assistant or prompt input area.

3

Review the output critically

Check whether the result matches your data, assumptions, and desired format before moving on.

4

Chain into the next prompt

Once you have the first result, continue deeper with related prompts in Cohort Analysis.

Frequently asked questions

What does the High Utilizer Identification prompt do?+

It gives you a structured cohort analysis starting point for healthcare data analyst work and helps you move faster without starting from a blank page.

Who is this prompt for?+

It is designed for healthcare data analyst workflows and marked as intermediate, so it works well as a guided starting point for that level of experience.

What type of prompt is this?+

High Utilizer Identification is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.

Can I use this outside MLJAR Studio?+

Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.

What should I open next?+

Natural next steps from here are Chronic Disease Cohort, Comorbidity Burden Analysis, Readmission Risk Cohort Chain.