AI & Intermountain
AI & ONS Congress
AI & Healthcare
AI & Oncology
Fun Facts About AI
100

How many current AI projects is intermountain working on? 

Over 300

100

What is AI‑generated patient education

This AI feature can turn complex medical information into simple explanations for patients receiving chemotherapy. AI‑generated patient education uses tools like large language models to turn complex chemotherapy information into clear, easy‑to‑understand language for patients. In everyday oncology practice, it helps nurses simplify teaching, reinforce safety instructions, and support patients who struggle with health literacy or anxiety. Research shows AI can reliably produce patient‑friendly explanations that align with oncology guidelines (Sengupta et al., 2024). 

100

What is ambient AI documentation?

This type of AI helps healthcare providers document patient encounters and create clinical notes automatically.

100

What is AI-assisted breast cancer screening? 

An AI tool reviews mammograms and flags suspicious areas for radiologist review.

100

What is Intermountain Health's ranking regarding the implementation of AI applications in healthcare? 

We are ranked second. -Intermountain and Cleveland Clinic, were recognized for the former's homegrown development of an automated clinical decision support system. Whereas Mayo was cited, for example, for having filed more than 50 patents for AI-enabled tools in cardiology, oncology, and elsewhere, and for having invested in AI startups tackling an array of clinical and operational use cases. Intermountain Health has won several awards regarding Healthcare Technology and Innovation to Enhance Patient Care. 


200

What is one AI program we will likely be seeing implemented in the future? 

Intermountain plans to implement Layer Health’s AI-powered chart-review platform across its 33 hospitals and health network to improve the accuracy, efficiency and scalability of clinical data abstraction. 

Layer Health’s AI‑powered chart‑review platform is designed to read, interpret, and extract information from the entire medical chart—notes, labs, imaging, pathology, and longitudinal history—to automate work that normally requires manual clinical review.

200

What is AI‑supported symptom triage?

AI‑supported symptom triage refers to digital tools that help oncology nurses quickly identify urgent symptoms, like fever, infection, or treatment‑related toxicity, by analyzing patient‑reported data in real time. The most established example is Yarrow, an AI‑powered oncology triage system that uses structured symptom intake, treatment history, and vitals to flag high‑risk issues such as febrile neutropenia and sepsis, reducing missed emergencies and unnecessary calls. These tools are used in everyday practice through patient portals, apps, or after‑hours call systems, where the AI screens symptoms, grades severity using oncology‑specific criteria, and alerts nurses when escalation is needed. 

200

What is Clinical Decision Support AI?

An AI system reviews medication orders and alerts providers to potential drug interactions.

200

What is precision oncology?

AI reviews genetic mutations within a tumor and helps identify targeted therapies.

200

What well-known healthcare project from 2003 contributed large datasets that helped develop artificial intelligence algorithms?

In the 2000s, healthcare AI grew quickly because there was suddenly a lot more data to work with. Electronic Health Records (EHRs) became widely used, giving AI systems access to large amounts of patient information. The Human Genome Project produced huge genetic datasets that helped researchers create AI tools for genomics and personalized medicine, allowing care to be tailored to each patient’s unique genetic makeup.

300

What study was conducted by Intermountain Health associated with AI? 

 A landmark iCARE study demonstrated that AI-powered remote monitoring of COPD and asthma patients reduced hospitalizations by 50%, emergency department visits by 20%, and overall costs by 57% over two years. The AI system continuously tracks patient risk between visits, sends personalized nudges, and escalates care when needed, shifting care from reactive to proactive.

300

What is AI medication safety checking

AI tools discussed at ONS Congress can help improve safety by checking chemotherapy doses for errors.

300

What AI tool helps flag patient deterioration, estimate readmission risk, and guide evidence‑based interventions? 

Predictive analytics

300

How can AI help track treatment responses? 

AI can compare serial scans over time to measure tumors and assess their progress. 

300

Between what years were AI applications used for diagnosing complex medical conditions?

Between the 1970s and the 1980s, healthcare started using early AI programs called expert systems. These programs followed sets of rules to help medical specialists diagnose healthcare problems. Systems like INTERNIST‑1 and CADUCEUS helped doctors figure out complicated medical problems. 

400

If you had to guess a number, how many lives have been saved using the Intermountain ePneumonia protocol? 

The pneumonia protocol has saved approximately 1,166 lives per year since 2015. 

a program that identifies hospital patients who are at risk of declining, which has led to lower mortality rates.

400

What is AI‑assisted trial matching?

This AI feature can help match cancer patients with clinical trials based on their diagnosis and genetics.

400

How is AI used in population health?

Identifies high‑risk groups, forecasts disease trends, and supporting targeted interventions. 

400

How can AI help with diagnostic triage? 

AI can help prioritize scans with suspected critical findings so radiologists review them sooner

400

When was the first AI technology implemented in healthcare? 

Artificial intelligence began its journey in healthcare during the early 1970s, marking the first serious applications of AI in clinical medicine. The INTERNIST-1 system, developed in 1971, was designed to analyze patient symptoms and suggest possible diagnoses for complex internal medicine cases using a database of disease profiles and a ranking algorithm.  

500

What are some AI applications that are currently being implemented in Intermountain Health facilities?  

•ICARE

•EMMIE

•ART

•PENNY

•ePneumonia app

•Solventum™ CDI Engage One™

•Solventum™ 360 Encompass™ System

•Solventum™ Coding and Reimbursement System (CRS)

•Layer Health’s artificial intelligence for clinical data abstraction tool

•Azure OpenAI a

•Arize AI

500

What is AI scheduling support?

ONS Congress sessions often explain how AI can help schedule infusion appointments more efficiently.

500

In pharmacy and medication safety how is AI used? 

AI helps detects potential drug interactions, allergies and dosing errors. 

500

How can AI help provide personalized cancer care treatment? 

I analyzes biomarkers, imaging, and genomics to support this individualized treatment approach.

500

When was the first AI program created? 

The first AI program was written in 1951 by Christopher Strachey. It played a game called checkers.