AI Usage at a Glance
Timeline
Oct 1, 2020
OtherPractice documented: UMass Memorial Health offers MRI scans through its Shields Health partnership that use AI-powered image reconstruction technology to reduce scan time while maintaining image quality.
Practice DocumentedView practice →Dec 6, 2022
OtherPractice documented: UMass Memorial Health deployed a virtual patient observation program using Caregility video technology, allowing a single care team member to remotely monitor up to six at-risk inpatients at once from a centralized hub.
Practice DocumentedView practice →Jan 1, 2024
OtherNew evidence: MRI and PET/CT Scans Through Shields Health | UMass Memorial Health
Evidence AddedView practice →Mar 6, 2024
Data AnalysisPractice documented: UMass Memorial Health announced a partnership with Google Cloud in March 2024 to use AI and machine learning to identify which patients with cardiometabolic conditions are suitable candidates for advanced therapies.
Practice DocumentedView practice →Jul 24, 2024
OtherPractice documented: UMass Memorial Health deployed KATE AI, a nurse-first AI platform, across all seven of its hospital emergency departments to help nurses assess patient severity and detect potential sepsis earlier during triage.
Practice DocumentedView practice →Dec 1, 2024
Data AnalysisPractice documented: UMass Memorial Health uses AI to help prioritize radiology imaging studies that are most likely to contain urgent findings, so radiologists can review the highest-risk scans first.
Practice DocumentedView practice →Dec 10, 2024
Data AnalysisPractice documented: UMass Memorial Health integrated AEYE Health's AEYE-DS, an autonomous AI diagnostic tool, into its electronic medical record system in 2024 to screen diabetic patients for eye disease during primary care visits.
Practice DocumentedView practice →Jan 1, 2025
ProductivityPractice documented: UMass Memorial Health uses ambient documentation technology that automatically generates draft clinical notes from conversations during patient appointments, which physicians review before adding to the medical record.
Practice DocumentedView practice →Feb 3, 2025
OtherNew evidence: How UMass Memorial's digital hub is redefining patient care
Evidence AddedView practice →Apr 29, 2025
OtherNew evidence: UMass Memorial Health Scales KATE AI Platform Emergency Departments Systemwide to Enhance Patient Safety and Nurse Decision Support
Evidence AddedView practice →Jul 2, 2025
OtherNew evidence: UMass Memorial Virtual Observation Success Story
Evidence AddedView practice →Oct 20, 2025
ProductivityPractice documented: UMass Memorial Health uses AI to automatically assign billing codes for radiology procedures, raising its automated coding rate in the radiology department from approximately 70% to 86%.
Practice DocumentedView practice →Dec 27, 2025
OtherPractice documented: UMass Memorial Health tested a real-time AI system during live endoscopy procedures that analyzed video footage to classify bile duct narrowings as cancerous or benign, as part of the SMART-AI clinical trial.
Practice DocumentedView practice →Apr 30, 2026
OtherNew evidence: Groundbreaking new study shows real-time AI platform better at diagnosing cancer than biopsy
Evidence AddedView practice →Jun 9, 2026
ProductivityNew evidence: Why UMass Memorial Health Is Slowing Down Before It Speeds Up AI
Evidence AddedView practice →Jun 9, 2026
Data AnalysisNew evidence: Why UMass Memorial Health Is Slowing Down Before It Speeds Up AI
Evidence AddedView practice →Recent activity
UMass Memorial Health offers MRI scans through its Shields Health partnership that use AI-powered image reconstruction technology to reduce scan time while maintaining image quality.
UMass Memorial's partnership with Shields Health includes MRI systems that use a deep learning-based image reconstruction algorithm, originally from GE Healthcare. The AI allows faster MRI acquisition at 3T scanners without compromising image quality, with GE estimating approximately a 30–40% reduction in scan time for commonly performed MRI exams. This was described as being implemented at Shields Health locations partnered with UMass Memorial.
UMass Memorial Health uses AI to automatically assign billing codes for radiology procedures, raising its automated coding rate in the radiology department from approximately 70% to 86%.
The system automates the assignment of standardized billing codes for simpler radiology procedures, while human coders handle more complex cases. The health system adopted AI coding in response to a shortage of certified medical coders and to eliminate overtime and backlogs. As of available sources, UMass Memorial was also expanding AI coding to its pathology department and planning future expansion to endoscopy coding.
UMass Memorial Health integrated AEYE Health's AEYE-DS, an autonomous AI diagnostic tool, into its electronic medical record system in 2024 to screen diabetic patients for eye disease during primary care visits.
AEYE-DS is an FDA-cleared AI solution that analyzes retinal images to autonomously detect diabetic retinopathy, providing immediate results within primary care settings without requiring a specialist referral. The system was integrated into UMMH's existing EMR workflow so that staff can initiate screenings and receive results during the same patient visit. Within four months of deployment, diabetic retinopathy screening adherence at the pilot family medicine clinic increased from 29% to 49%, and average screening time was reduced by 75%.
All practices by category
UMass Memorial Health offers MRI scans through its Shields Health partnership that use AI-powered image reconstruction technology to reduce scan time while maintaining image quality.
UMass Memorial Health deployed KATE AI, a nurse-first AI platform, across all seven of its hospital emergency departments to help nurses assess patient severity and detect potential sepsis earlier during triage.
UMass Memorial Health tested a real-time AI system during live endoscopy procedures that analyzed video footage to classify bile duct narrowings as cancerous or benign, as part of the SMART-AI clinical trial.
UMass Memorial Health deployed a virtual patient observation program using Caregility video technology, allowing a single care team member to remotely monitor up to six at-risk inpatients at once from a centralized hub.
UMass Memorial Health integrated AEYE Health's AEYE-DS, an autonomous AI diagnostic tool, into its electronic medical record system in 2024 to screen diabetic patients for eye disease during primary care visits.
UMass Memorial Health uses AI to help prioritize radiology imaging studies that are most likely to contain urgent findings, so radiologists can review the highest-risk scans first.
UMass Memorial Health announced a partnership with Google Cloud in March 2024 to use AI and machine learning to identify which patients with cardiometabolic conditions are suitable candidates for advanced therapies.
UMass Memorial Health uses AI to automatically assign billing codes for radiology procedures, raising its automated coding rate in the radiology department from approximately 70% to 86%.
UMass Memorial Health uses ambient documentation technology that automatically generates draft clinical notes from conversations during patient appointments, which physicians review before adding to the medical record.
Cite this record
Trace Foundation. (2026). UMass Memorial Health: documented AI practices (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/company/6bfd6011-9102-4b39-afc3-ef0d5ac4a8c3. Accessed October 5, 2026.
- Stable link
- https://www.aitrace.org/r/company/6bfd6011-9102-4b39-afc3-ef0d5ac4a8c3
- Data as of
- July 11, 2026
- Last verified
- Not recorded
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