Guthrie Clinic cuts patient falls with injuries by 70% using AI on Dell infrastructure
The Guthrie Clinic, serving rural communities across 11,000 square miles of New York and Pennsylvania, built an IT foundation on the Dell AI Factory with NVIDIA, including Dell PowerEdge servers and Dell AI PCs. Using the Artisight AI platform running on Dell PowerEdge servers with NVIDIA GPUs to monitor patient movement and deliver fall-risk assessments, Guthrie reduced patient falls with injuries by nearly 70%, cut ICU stays by half a day, shortened emergency room time by more than 80 minutes, and achieved $7 million in operational cost savings in 2023.
Overview
The Guthrie Clinic, serving rural communities across 11,000 square miles of New York and Pennsylvania, built an IT foundation on the Dell AI Factory with NVIDIA, including Dell PowerEdge servers and Dell AI PCs. Using the Artisight AI platform running on Dell PowerEdge servers with NVIDIA GPUs to monitor patient movement and deliver fall-risk assessments, Guthrie reduced patient falls with injuries by nearly 70%, cut ICU stays by half a day, shortened emergency room time by more than 80 minutes, and achieved $7 million in operational cost savings in 2023.
The challenge
Rural healthcare providers often face unique hurdles, from staffing limitations to providing consistent care across vast distances. The Guthrie Clinic, serving communities across 11,000-square miles of New York and Pennsylvania, needed a robust and intelligent infrastructure to serve nearly 2 million patient visits each year across 76 offices and six hospitals.
The solution
Guthrie built its IT foundation on the Dell AI Factory with NVIDIA, including Dell PowerEdge servers and Dell AI PCs. It uses the Artisight AI platform, powered by Dell PowerEdge servers with NVIDIA GPUs, to monitor and analyze patient movement and deliver instant fall-risk assessments. Clinicians use Dell AI PCs and monitors to securely access clinical applications and patient data. Guthrie also launched The Guthrie Pulse Center, a virtual command center where AI-powered systems and dedicated clinical teams — including virtual nurses and electronic ICU staff — collaborate on patient observation, documentation and logistics like bed assignments, supported by a private cloud built on Dell infrastructure.
Reported business value
Guthrie reduced patient falls with injuries by nearly 70%, cut ICU stays by half a day, shortened emergency room time by more than 80 minutes, and achieved operational cost savings of $7 million in 2023 alone.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other healthcare entries in the register.
Less paperwork, more time for people: Azure OpenAI at Landsberg Hospital
Klinikum Landsberg am Lech, a German acute-care hospital, deployed an AI language solution built on Azure OpenAI with partner Pexon Consulting that transcribes doctor-patient consultations in real time via tablet, recognizes medical terms, structures the content, and transfers it directly into the hospital information system.
Novo Nordisk builds AI drug discovery platform on Azure with Microsoft Research
Novo Nordisk partnered with Microsoft Research to build an AI platform on Azure AI and data stacks spanning regulatory affairs, early research, drug discovery and trial design, using Azure OpenAI Service, Azure Cosmos DB and Azure Kubernetes Service, with Power BI and Power Apps for collaboration. The platform includes a copilot for researchers, shared reasoning-chain templates, and governance/auditing of how data and models are used. The teams published early results on predictive AI models for cardiovascular disease risk detection, including an algorithm that Novo Nordisk says predicts patients' cardiovascular risk better than the best clinical standards, drawing on more than 100 years of insulin research data.
BAYADA Builds a Unified, AI-Ready Platform for Compassionate Care
BAYADA Home Health Care is consolidating three separate legacy data platforms (multiple practice management systems, an on-prem ODS, and Snowflake) and 65+ enterprise data sources into a single Databricks Lakehouse under its Data Modernization program, using medallion tiers, Lakeflow Jobs, Asset Bundles, and Unity Catalog governance. As part of the migration, BAYADA uses an LLM-powered code converter and Databricks Assistant to automate SQL and stored-procedure translation, and applies a machine learning-based data mastering accelerator to create golden Client, Payor, Candidate, and Referrer records. BAYADA reports roughly 30% better workload performance and cost efficiency versus its prior Snowflake environment, and is laying a governed foundation for AI agents supporting payroll validation, compliance monitoring, and operational insights, separately from its roadmap for AI-assisted chart review and risk prediction.
Heidi Health fine-tunes NVIDIA Parakeet/Nemotron ASR, cutting clinical transcription latency 75% and costs 64%
Heidi Health, which processes 2.4 million clinical consultations weekly across 110 languages, fine-tuned the open NVIDIA Parakeet V2 speech recognition model on 1,500 hours of curated clinical audio using the NVIDIA NeMo framework and 8x H100 GPUs, replacing its closed-source vendor ASR. The in-house Nemotron-based ASR stack cut end-to-end transcription latency from about 3.0 seconds to 0.7 seconds (75%+ improvement), reduced word error rate from 13% to 9.4%, and cut operating costs by 64% by eliminating per-minute API pricing, while giving Heidi full ownership of model weights for data sovereignty.
Was this helpful?
Your feedback helps us improve our use case database

