---
title: "Inside the 2025 IHI Forum: What Healthcare Leaders Are Saying About AI"
description: At the IHI Forum, Mintiab chatted with attendees and learned from the inside what healthcare leaders are saying about AI, and how AI will effect the healthcare industry.
---

[Minitab Blog](https://blog.minitab.com/en/blog)

# [Inside the 2025 IHI Forum: What Healthcare Leaders Are Saying About AI](https://blog.minitab.com/en/blog/ihi-forum-healthcare-and-ai)

 Written by [Caitlin Pagano](https://blog.minitab.com/en/blog/author/caitlin-pagano) | Dec 29, 2025, 4:30:01 PM

Every year at the [IHI](https://www.linkedin.com/company/ihi/) Forum, you can feel the pulse of what’s changing in healthcare. This year, that pulse was unmistakably **AI**. According to our very own [Cheryl Pammer](https://www.linkedin.com/in/cheryl-pammer-9b92973/), who attended the event and connected with healthcare leaders across the country, AI wasn’t just a buzzword, it was *the* topic people were eager to talk about, question, and better understand.

But what stood out most wasn’t the novelty of AI. It was the **urgency** behind it.

Healthcare systems aren’t asking, “Should we adopt AI?” anymore. They’re asking, “How do we do it safely? Responsibly? And in a way that actually improves care?”

## AI in healthcare today: real use cases, not theoretical promise

Walking through the poster sessions at IHI, it was clear that AI is moving beyond experimentation. Hospitals and research groups are already putting it to work.

 

### 1. Predicting and preventing clinical deterioration (Stanford Medicine)

| A pilot run by [Stanford University School of Medicine](https://www.linkedin.com/school/stanford-university-school-of-medicine/) detailed how a machine learning model helped clinicians identify patients at risk of rapid deterioration. But what was striking wasn’t just the model—it was the **workflow redesign** around it. Nurses used AI-generated alerts to structure team huddles, communicate earlier, and intervene sooner. The results? - Achieved a **huddle compliance of \>80%** during the pilot - A measurable **reduction in clinical deterioration events** The lesson echoed throughout the conference: AI works when paired with **sound processes, collaboration, and validated insights.** |  |
| --- | --- |

 

### 2. Automating billing and reducing waste (Singapore General Hospital)

| Another team at [Singapore General Hospital](https://www.linkedin.com/company/singapore-general-hospital/) showcased how Robotic Process Automation (RPA) eliminated manual billing tasks, **cutting processing time by 90%**, reducing error rates, and freeing staff time—a reminder that AI isn’t only about clinical outcomes. It’s about **operational excellence**, too. |  |
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### 3. Trust, verify, innovate (Vizient)

| Perhaps the most relevant poster to the broader AI conversation was [Vizient, Inc](https://www.linkedin.com/company/vizient/)'s work using an internal ChatGPT instance to classify and evaluate emerging clinical technologies. Their message was clear:  AI can accelerate research and decision-making *if* it is validated, monitored, and embedded within a trustworthy analytical framework. They emphasized the need for: - Human oversight - Rigorous quality assurance - Structured verification loops   If that sounds familiar, it’s because these principles have guided Minitab’s philosophy for over 50 years. |  |
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## The road ahead: AI with accountability

If there was a single theme across the conference, it was this: **AI is powerful, but healthcare must adopt it with discipline, structure, and a commitment to patient safety.**

As more hospitals explore predictive modeling, automated workflows, and AI-assisted decision support, the need for reliable analytics will only grow. The excitement around AI is real—but so is the responsibility that comes with it.

And that’s exactly why healthcare organizations are turning to partners like Minitab.

[**Click here**](https://www.minitab.com/en-us/products/minitab-solution-center/?s_kwcid=AL!22072!3!779484737483!p!!g!!simulation%20platform&hsa_acc=4841564033&hsa_cam=23143303868&hsa_grp=187239346219&hsa_ad=779484737483&hsa_src=g&hsa_tgt=aud-1129906540993:kwd-299664989020&hsa_kw=simulation%20platform&hsa_mt=p&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=23143303868&gbraid=0AAAAAD9aNEhnPJTQyv83Y6a32PnEFmw6f&gclid=Cj0KCQiAjJTKBhCjARIsAIMC449wnUSIvFc0uK7ECpdvU4VxqvBulDLSBZ_PT2bReipTdTHlDJeGhQ4aAkgxEALw_wcB#tabs-15b44edbeb-ddjkiusc7l-tab-3:~:text=Minitab%20AI-,Minitab%20AI,-Minitab%20is%20integrating) to learn more about Minitab's AI capabilities.

 

| ### Main takeaway? Hospitals need a partner, not just a vendor Hospitals don’t just need algorithms; they need **interpretability**, **repeatability**, and **quality-driven workflows**. As the information at IHI showed, multidisciplinary teamwork is essential for AI success. Minitab already supports these teams across: - Quality improvement - Risk reduction - Operational efficiency - Clinical analytics Our AI capabilities—housed within the [**Minitab Solution Center**](https://www.minitab.com/en-us/products/minitab-solution-center/)—are built to enhance this work, not replace it.   #### Start streamlining your healthcare operations with a true partner. <https://blog.minitab.com/hs/cta/wi/redirect?encryptedPayload=AVxigLLMkRKuU6mOeQEgZgfJ9UHZuQ8%2BHtfVeoXiks9ng2fwPTlbfnsCEwfCnItSRgYRgvIU5rROleOrzuOcDOC%2FhclleU2AQJk54bc7MvR%2BMmZC5ouFeu56Gh9P%2BHgyTmepjzUpGmc5lVVzGxkKU%2BWUimx6XaymzG5i4ciT88wHfwmAAODhGWInrFn9BTIBgeldFUVxixbZNmsUpeBVoa3XSgS4KgIRb%2BGdUoZuqbB4Wvlj1EUedn1kACYEX4UNZA1SXQ%3D%3D&webInteractiveContentId=203284313425&portalId=3447555&hsLang=en> |  |
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[View full post](https://blog.minitab.com/en/blog/ihi-forum-healthcare-and-ai)

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