AI IN HEALTHCARE
What AI can do in healthcare today
Not pilots. Not demos. Not slide decks. The practical work AI is already carrying inside health systems, and what becomes possible when you start.
WHAT'S POSSIBLE
The work AI can carry today
A 2024 survey of 43 US health systems identified 37 AI use cases across 10 categories. Here is what health system leaders are actively developing, piloting, or deploying right now.
Clinical Documentation
- Ambient Notes
- Ambient Nursing
- Drafting Care Plan Notes
- Abstracting Data for Clinical Registries
Clinical Chart Review
- Inpatient Chart Summarization
- Ambulatory/Clinic Chart Summarization
Clinical Risk Stratification
- Early Detection of Sepsis
- Risk of Unplanned Admission
- Risk of Clinical Deterioration
- Risk of Patient Falls
Diagnosis
- Imaging and Radiology
- Digital Pathology
- Other Diagnostic Tools
Engaging Patients
- In-Basket Automation
- Adjust Reading Levels
- Language Translation
- Remote Patient Monitoring
- Companion AI / Conversational Agents
- Care Navigation
Patient Access and Marketing
- Predict Risk of Patient No Shows
- Automate Patient Visit Scheduling
- AI-Enabled Triage
Revenue Cycle
- Medical Coding
- Automate Utilization Review
- Streamline Prior Authorization
Business Functions
- Forecast Census and Staffing
- Optimize Patient Room Utilization
- Optimize Operating Room Utilization
- Supply Chain Tools
- Recruiting and Human Resource Tools
- Cash Forecasting (Treasury)
Automating Analytics
- Data Analysis
- AI-enabled Computer Coding
Supporting Research
- Clinical Trials Automation
- Drug Discovery
- Genetics, Genomics
Source: Poon EG, Lemak CH, Rojas JC, Guptill J, Classen D. "Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges." J Am Med Inform Assoc. 2025;32(7):1093-1100. Read the full study →
THE PROCESS
From assessment to results
Diagnose
We map where manual work concentrates and what AI can absorb today.
Install
We deploy against top opportunities alongside your teams. Measured against baselines.
Measure
Hours returned, denials prevented, capacity restored to your organization.
What health system leaders ask about AI
How is AI used in healthcare practices? +
AI is used for 24/7 patient call answering, automated appointment scheduling and reminders, dormant patient recall campaigns, and AI search visibility so patients find your practice when they ask AI engines for recommendations.
What AI tools answer patient calls? +
AI voice agents like Rosie, Goodcall, and Ringly answer patient calls 24/7, schedule appointments, route emergencies, and log every interaction. They integrate with practice management systems.
Can AI recall dormant patients? +
Yes. Automated recall campaigns use email, SMS, and voice to reach patients overdue for visits. Campaigns are segmented by visit type and interval, and results are tracked automatically.
Is AI call answering HIPAA-aware? +
Yes. The tools we use are designed with HIPAA awareness. Patient data is handled through compliant processes, and the systems can be configured to meet your practice's privacy requirements.
What is AEO for healthcare? +
AEO (Answer Engine Optimization) makes your practice visible when patients ask ChatGPT or Google AI for a healthcare recommendation. It involves structured data, AI-optimized content, and AI crawler access.
How much does it cost? +
Costs vary based on scope. The first step is a free strategy call to diagnose your revenue leaks and determine which systems deliver the fastest return.
Ready to see what AI can carry?
Schedule an opportunity assessment. We'll map what's possible for your operations.
Schedule an Assessment