Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
A regional healthcare system operating five hospitals and more than 400 health facilities across South Jersey and Philadelphia.
Clinicians spent 30 minutes per patient manually reviewing electronic health records, contributing to severe cognitive overload. Concurrently,...
“The Microsoft suite of products today is really exciting. It's fast. It's resilient. We don't have to have people skilled in multiple technologies and tools. It's all coming out of one toolset, which again, makes us more efficient. It makes our colleagues happier and allows us to deliver things at a faster pace.”
Non-profit regional health system for comprehensive medical and hospital services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Virtua Health's Clinical decision support is part of this use case:
Related implementations across industries and use cases
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Surging imaging volumes created severe cognitive burden. Now, AI summarizes prior reports and drafts impressions directly in the workflow.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Processing 1.8M invoices across 31k vendors obscured account risk. Now, daily machine learning models automatically flag at-risk accounts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
A regional healthcare system operating five hospitals and more than 400 health facilities across South Jersey and Philadelphia.
Clinicians spent 30 minutes per patient manually reviewing electronic health records, contributing to severe cognitive overload. Concurrently,...
“The Microsoft suite of products today is really exciting. It's fast. It's resilient. We don't have to have people skilled in multiple technologies and tools. It's all coming out of one toolset, which again, makes us more efficient. It makes our colleagues happier and allows us to deliver things at a faster pace.”
Non-profit regional health system for comprehensive medical and hospital services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Virtua Health's Clinical decision support is part of this use case:
Related implementations across industries and use cases
Clinicians spent 1-2 hours after shifts typing notes. Now, AI drafts records from natural dialogue, restoring eye contact with patients.
Surging imaging volumes created severe cognitive burden. Now, AI summarizes prior reports and drafts impressions directly in the workflow.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Processing 1.8M invoices across 31k vendors obscured account risk. Now, daily machine learning models automatically flag at-risk accounts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.