🔥 "Clinicians are able to talk naturally with patients, and the system is able to draft a structured note instantly. That saves a lot of time and mental energy." — Snehal Gandhi, MD, Vice President and Chief Medical Information Officer, Cooper University Health Care When AI handles the documentation, doctors can finally be doctors again — eyes on the patient, not the screen. ✅ 90% of patients report their physician spends less time on the computer ✅ $50K–$500K incremental revenue potential per clinician annually ✅ 200+ EHR integrations — works inside the system your team already uses Microsoft Dragon Copilot doesn't just save time. It gives clinicians back their purpose — and gives organizations a measurable return. 👉 Schedule a consultation: https://lnkd.in/ea-tv26w

🔥 "The clinicians that have adopted Microsoft Dragon Copilot have increased the number of patients that they're able to see every day, and their overall cognitive burden really seems to be less." — Dr. Scott Eshowsky, Chief Medical Information Officer, Beacon Health System Beacon Health didn't just cut back on scribes. They eliminated them entirely from the Emergency Room — and their providers are seeing more patients with less burnout. ✅ 100% elimination of scribes in Beacon Health's Emergency Room ✅ 5–7 additional patients per provider per week ✅ 50% reduction in scribe reliance across multiple clinics At $159/user/month, Microsoft Dragon Copilot delivers what a full-time scribe can't — ambient AI documentation, 99%+ accuracy speech recognition, and clinical intelligence, all in one platform that goes wherever the clinician goes. 👉 Schedule a consultation: https://lnkd.in/ea-tv26w

Microsoft Dragon Copilot delivers what a full-time scribe can't — ambient AI documentation, 99%+ accuracy speech recognition, and clinical intelligence, all in one platform that goes wherever the clinician goes.

Microsoft Dragon Copilot delivers what a full-time scribe can't — ambient AI documentation, 99%+ accuracy speech recognition, and clinical intelligence, all in one platform that goes wherever the clinician goes.

112% ROI. Northwestern Medicine more than doubled their return with Microsoft Dragon Copilot. This ambient-AI medical assistant eliminates the dictation step, provides a full transcript for verification, and creates comprehensive encounter notes for you. Transform your workflow 👉 https://lnkd.in/ea-tv26w

As someone building local AI infrastructure for healthcare, I keep coming back to a simple question: Why should a patient wait weeks for access to their own complete medical record in 2026 — especially inside a major hospital system using Epic/MyChart? With properly structured local infrastructure, indexed records, vectorized search layers, and modern retrieval workflows, much of this information should be retrievable in minutes rather than weeks. To patients, these delays can begin to feel less like technical limitations and more like institutional drag-their-feet processes that create unnecessary friction between people and their own health information. If this sounds like an experience you, a family member, friend, colleague, or loved one has gone through, I would genuinely like to hear your story and perspective.

#ClevelandClinic is the pioneer of expanding the use of Artificial Intelligence in Healthcare. Great professionals insights about the bias and challenges related to this field.

There's a big difference between transcribing a conversation and actually comprehending it. Ambient Clinical Intelligence takes it all into account: the specialty, the patient history, the clinical context. Suki is built by clinicians, for clinicians, because we believe the best healthcare AI comes from people who never stopped practicing medicine. We're not just automating documentation. We're giving clinicians their presence back. Read how we're doing it, in the new blog from Suki Medical Director Katie Prevas PA-C,MBA: 🔗 ➡️ https://lnkd.in/gqxyM-WF

Operating room utilization at many health systems still hovers around 65–75%, leaving revenue and patient access on the table. The issue isn’t data; it’s the Operational Intelligence Gap: insights arrive after schedules are locked, when it’s too late to release unused block time or backfill cases. With Databricks Genie, leaders can query real-time scheduling and outcomes data in natural language to uncover specific opportunities by surgeon, block, or facility — turning hidden capacity into millions in value each year. If you’re responsible for surgical operations, your next efficiency gains are already hiding in your scheduling data.

The reality is that many critical NHS workflows are still heavily manual...from referral management and outpatient coordination to pre-treatment checks, SPA triage, and waiting list management. This is where operational AI can have real impact. Not theoretical AI. Not innovation for the sake of innovation. But deployable workflow automation that integrates into real operational environments and delivers measurable outcomes across: - appointment utilisation - admin burden reduction - patient flow - triage efficiency - workforce productivity - access and waiting lists The outcomes from our deployments speak for themselves, see post below. We are actively looking to partner with #NHS organisations, system leaders, and innovators across the UK who are focused on solving operational challenges with measurable impact. #SwordIntelligence