Table 1 Industry-based operational AI applications with healthcare parallels.
From: Leveraging AI to reduce operational healthcare costs: lessons from other industries
Industry | Industry AI application | Parallel domain in healthcare | Complexity | Citation(s) |
|---|---|---|---|---|
Agriculture | Moisture/Thermal Sensing | Medical Device Monitoring | Moderate | |
Aviation | Air Traffic Management | Hospital Flow and Throughput | Moderate | |
Aircraft Maintenance Prediction | Biomedical Equipment Maintenance | Low | ||
Passenger/Flight Scheduling | Clinic or Operating Room Scheduling | Low | ||
Pilot Mental Health Monitoring | Patient or Health Provider Mental Health Monitoring | Low | ||
Weather Forecasting | Hospital Surge Forecasting | High | ||
Finance | Financial Advisory Queries | Patient Medical Advisory Queries | Low | |
Market Forecasting | Utilization Forecasting (e.g., Admission Risk, ICU Transfer) | Moderate | ||
Human Relations | Customer Service | Patient Communication and Education | Low | |
Information Technology | Cybersecurity | Medical Data Security | Low | |
Internet Search, Text Completion | Chart Summarization, Documentation Templating | Low | ||
Recommendations and Marketing | Preventative Health Screening, Specialist Referral | High | ||
Manufacturing | Energy Consumption Forecasting | Hospital Resource Forecasting | Moderate | |
Quality Control | Medical Error Detection | Moderate | ||
Retail | Consumer Sentiment Tracking | Patient Health Monitoring | Moderate | |
Supply Chain Optimization | Hospital Flow Optimization | Moderate | ||
Targeted Advertising | Targeted Medical Testing and Diagnostics | High | ||
Transportation | Autonomous Vehicles | Hospital Transport, Supply Delivery | High |
