Zeer Mount Sinai Medical Center / intent / mount-sinai-medical-center

Mount Sinai Medical Center

1001-5000 employees·Miami Beach, United States·msmc.com

Observed, not inferred · updated weekly

Buying intent

32 tracked signals | Top 15 topics are below | Engineering is carrying most of it.

25signals · 30 days
22topics tracked
46.67%attributed to a team

Attention by team

LinkedIn activity, by team

Where Mount Sinai Medical Center's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Career Development
Healthcare Operations
Emergency Preparedness
AI Security
Future of Work
Engineering
High43% of team Engineering to Artificial Intelligence: High, 43% of this team's signals
Engineering to Career Development: no signal
Engineering to Healthcare Operations: no signal
Engineering to Emergency Preparedness: no signal
High29% of team Engineering to AI Security: High, 29% of this team's signals
High29% of team Engineering to Future of Work: High, 29% of this team's signals
Others
Medium13% of team Others to Artificial Intelligence: Medium, 13% of this team's signals
High38% of team Others to Career Development: High, 38% of this team's signals
High25% of team Others to Healthcare Operations: High, 25% of this team's signals
High25% of team Others to Emergency Preparedness: High, 25% of this team's signals
Others to AI Security: no signal
Others to Future of Work: no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
5d ago
Career Development
LinkedIn
High volume
98%
last
9d ago
Healthcare Operations
LinkedIn
Medium volume
98%
last
9d ago
Emergency Preparedness
LinkedIn
Medium volume
96%
last
9d ago
AI Security
LinkedIn
Medium volume
96%
last
26d ago
Future of Work
LinkedIn
Medium volume
98%
last
26d ago
Hospital
LinkedIn
Medium volume
96%
last
10d ago
Molecular Biology
LinkedIn
Low volume
98%
last
9d ago
Emotional Intelligence
LinkedIn
Low volume
96%
last
30d ago
Business Transformation
LinkedIn
Low volume
98%
last
5d ago
AI Business Transformation
LinkedIn
Low volume
92%
last
5d ago
Security Compliance
LinkedIn
Low volume
96%
last
12d ago
Coaching & Mentoring
LinkedIn
Low volume
98%
last
9d ago
Grand Rounds
LinkedIn
Low volume
98%
last
10d ago
Human Resources Manager
LinkedIn
Low volume
98%
last
18d ago

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Who's active at Mount Sinai Medical Center

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others7 active
researching Healthcare Providers
in
VPresearching Emergency Preparedness
in
Leadershipresearching Grand Rounds
in
researching Cyber Security Compliance
in
researching Human Resources Manager
in
Engineering1 active
Senior ICresearching Artificial Intelligence
in

Primary products / business lines

LinkedIn company profile

ABOUT MOUNT SINAI MEDICAL CENTER Since 1949, Mount Sinai Medical Center has remained the largest private, independent, not-for-profit teaching hospital in Florida. Our mission is to provide high-quality health care to our diverse community—enhanced through teaching, research, charity care, and financial responsibility. Mount Sinai has been named one of Healthgrades™ Top 100 Hospitals for two cons

Top accounts researching Mount Sinai Medical Center

names withheld on the public page

These are companies whose own people brought up Mount Sinai Medical Center unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Mount Sinai Medical Center's own team shows 4 signals on this topic. No one outside Mount Sinai Medical Center has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Career Development57,400 cos · 377,367 people
  • Healthcare Operations673 cos · 2,185 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Mount Sinai Medical Center.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Security — 1 person; Engineering — 1 person

What's been said

public posts by Mount Sinai Medical Center's team

No public post naming Mount Sinai Medical Center has surfaced in the past year, so this is what Mount Sinai Medical Center's own team is posting about publicly — their topics, in their words.

LinkedIn

🚨 Incident vs Problem vs Change — Explained in Simple Words (Finally!) Let’s be honest… Most people in ITSM say: 👉 “This is an incident” 👉 “Raise a problem record” 👉 “We need a change” But ask them to explain the difference clearly… and things get confusing 😅 So let’s break it down in simple, real-life language — no jargon. 🔥 1. What is an Incident? 👉 An Incident = Something is broken RIGHT NOW It’s any issue that is affecting users or business operations. 🧾 Examples: Email not working 📧 VPN down 🌐 System is slow 🐢 Application crashed 💻 👉 Goal: Fix it as fast as possible 💡 Think of it like: Your car stops in the middle of the road → You just want it running again ASAP. 🧠 2. What is a Problem? 👉 A Problem = The ROOT CAUSE behind incidents If incidents keep happening again and again, there’s a deeper issue. 🧾 Examples: Server crashes every Monday Network slowness at peak hours Same error reported by multiple users 👉 Goal: Find and fix the root cause permanently 💡 Think of it like: Your car keeps overheating → The real problem could be a faulty radiator. 🔄 3. What is a Change? 👉 A Change = A planned fix or improvement Once you know the problem, you implement a controlled fix. 🧾 Examples: Patching a server Upgrading software Replacing faulty hardware Deploying a new feature 👉 Goal: Fix or improve without causing new issues 💡 Think of it like: Taking your car to the garage to replace the faulty part safely. 🔗 How They All Connect (Simple Flow) 👉 Incident happens ➡️ Fix it quickly 👉 Same incident repeats ➡️ Create a Problem 👉 Root cause identified ➡️ Implement a Change 👉 Change implemented ➡️ Incidents reduce or stop 🎯 ⚠️ Where Most Teams Go Wrong ❌ Treating every issue as just an incident ❌ Ignoring recurring issues ❌ Skipping root cause analysis ❌ Making changes without proper planning 👉 Result: More tickets, more chaos, more stress 😓 ✅ What High-Performing Teams Do Differently ✔️ Resolve incidents quickly ✔️ Investigate recurring issues ✔️ Focus on root cause ✔️ Implement well-planned changes 👉 Result: Fewer incidents, happier users, and a calmer team 🙌 📊 One-Line Summary 👉 Incident = Fix now 👉 Problem = Find why 👉 Change = Fix forever 💬 Real Question for You In your organization… 👉 Are you just fixing incidents? 👉 Or actually solving problems? #ITSM #ServiceDesk #IncidentManagement #ProblemManagement #ChangeManagement #ITIL #ServiceDelivery #ITOperations #ContinuousImprovement #Leadership #CustomerExperience

May 2026
LinkedIn

🚀 How I Reduced MTTR by 50% — Without Burning Out the Team Let me be honest… Our MTTR (Mean Time to Resolution) was not great. Tickets were dragging. Users were frustrated. And the team? Constantly firefighting 😓 👉 Issues taking too long to resolve 👉 Endless follow-ups 👉 Escalations piling up 👉 Pressure from all sides Something had to change. Within a few months, we cut MTTR by almost 50%. No extra hiring. No fancy tools. Just fixing how we worked. Here’s exactly what worked 👇 🔍 1. We Identified Where Time Was Actually Going Earlier, we only looked at total resolution time. But that didn’t tell the real story. So we broke it down: ✔ Time to first response ✔ Time waiting on user ✔ Time stuck in escalation ✔ Time in reassignment 💡 Reality check: Most delay was not solving time — it was waiting time 🧠 2. We Standardized the First Response Every ticket was handled differently. Some agents asked the right questions… others didn’t. So we fixed this: ✔ Created standard probing questions ✔ Built response templates ✔ Collected key info upfront 👉 Result: Fewer back-and-forths = Faster resolution 🎯 3. We Focused on “Right Assignment First Time” Big hidden problem. Tickets were: ❌ Assigned wrong ❌ Bounced between teams ❌ Delayed unnecessarily So we improved routing: ✔ Clear categorization ✔ Defined ownership ✔ Better triage at L1 💡 Result: Less ping-pong = Faster MTTR 🛠️ 4. We Reduced Dependency on L2/L3 Earlier mindset: 👉 “Escalate to solve faster” Reality: 👉 Escalations were slowing things down So we: ✔ Trained L1 on top recurring issues ✔ Gave access to tools & knowledge ✔ Created resolution playbooks 👉 Result: More tickets solved at Level 1 📊 5. We Started Tracking the Right Metrics Not just MTTR overall. We tracked: ✔ MTTR by issue type ✔ MTTR by team ✔ Escalation turnaround time ✔ Aging tickets 👉 This helped us fix specific delays, not guess blindly 💬 6. We Fixed User Dependency Delays A lot of tickets were stuck because: 👉 Waiting for user response 👉 Incomplete information 👉 No follow-ups So we improved: ✔ Clear instructions to users ✔ Defined follow-up timelines ✔ Auto-reminders 💡 Result: Less waiting = Faster closure 🔄 7. We Built a Daily Review Habit Game changer. Every day: ✔ Reviewed aging tickets ✔ Highlighted blockers ✔ Took quick actions Every week: ✔ Analyzed delayed tickets ✔ Fixed root causes 👉 Small daily actions = Huge MTTR improvement 📈 Final Outcome ✅ MTTR reduced by ~50% ✅ Faster issue resolution ✅ Fewer escalations ✅ Happier users ✅ Less team stress 💡 Key Lesson Reducing MTTR is not about: ❌ Working faster ❌ Pushing harder It’s about: ✔ Removing delays ✔ Fixing handoffs ✔ Solving smarter 🚀 If You Manage a Service Desk, Start Here: 👉 Fix ticket routing 👉 Empower L1 👉 Eliminate waiting time Everything else will follow. #ServiceDesk #ITSM #MTTR #IncidentManagement #ITSupport #ServiceDelivery #Leadership #ContinuousImprovement #ITOperations #CustomerExperience

May 2026
LinkedInArtificial Intelligence

This week, I attended the Coalition for Health AI (CHAI) Leadership Summit in Dana Point, California, and interacted with other healthcare leaders who are navigating the ever-changing AI landscape. I got to chat with some old colleagues and met some new ones! Tom Gillette Michael B.

Apr 2026
LinkedIn

Compliance isn’t lost in big decisions — it’s lost in small exceptions. In Facilities, we make hundreds of decisions every day—and sometimes they’re shaped by “just this once”, “it’s quicker this way”, or “I’ll update it later.” The problem is those small flexibilities add up. A missed work order. An asset not properly tagged. A bypassed process during a busy day. Individually, they seem harmless. Together, they erode the reliability of our systems, the quality of our work, and ultimately, patient safety. Strong programs are not built on perfection — they’re built on consistency. The challenge isn’t knowing the standards. It’s having the discipline to follow them—every single time. What’s one “small exception” you’ve seen turn into a bigger issue?

Apr 2026

About this data. Mount Sinai Medical Center (msmc.com). Department attribution is 46.67%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries