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Why Hospitals Must Rethink Operations Before Banking on AI

Health IT Product News Report June 2025

Artificial Intelligence (AI) in Healthcare Research Report

Bonus Features – June 29, 2025 – More than 54% of ...

Healthcare saw major AI advances this week. **Learning health systems** took center stage—they're special setups where hospitals use patient data to improve care continuously. Experts say these systems are now critical because they provide clean, organized data that AI needs to work well. Without them, AI tools might be unsafe or unfair. These systems let AI spot health problems early, make hospitals run smoother, and help doctors choose the best treatments[1].

Hospitals face financial pressure with rising costs and insurance denials. Nearly 15% of claims get denied initially. Many are turning to **AI for administrative tasks** like checking insurance coverage, handling billing codes, and fighting claim denials. AI shows strong results in reducing denials and saving money. But experts warn that AI alone won't fix hospital finances—they must also rethink operations. Solutions include combining services, using robots to cut labor costs, offering more virtual visits, or partnering with other companies[2].

Exciting new AI tools launched: **Huma Therapeutics** debuted **Hi Scribe**, which automatically writes clinical notes and billing documents. **Ambience Healthcare** unveiled an AI that outperforms doctors by 27% in medical coding—a breakthrough that could save billions by reducing errors. **Amplity** released **Ava**, an AI chatbot that improves website help for users. Even government joined in—the U.S. **FDA** launched **Elsa**, an AI assistant to help their staff work faster[3].

Market reports highlight explosive growth ahead. The **global healthcare AI market** will rocket from $21.66 billion this year to $110.61 billion by 2030—growing nearly 39% yearly. Drivers include huge data growth, pressure to lower costs, and fast AI adoption. Investments from governments and companies fuel this boom. But challenges remain—some countries lack good computer systems, and people hesitate to trust AI[4].

Patient and provider views are evolving. Surveys show **54% of patients now support AI** in exam rooms and for health advice—a significant shift toward acceptance. However, half of health IT professionals report that AI-generated answers still need substantial improvement. This gap shows that while patients are ready for AI assistance, the technology must become more reliable to win full trust[5].

Together, these developments paint a picture of a healthcare industry rapidly embracing AI while grappling with practical challenges. The focus has shifted from whether to use AI to how to implement it responsibly alongside necessary system upgrades and operational changes.

This week brought big news in healthcare AI. Experts say **learning health systems** are now essential for hospitals. These systems collect good data so AI can help doctors spot illnesses early and make better choices[1].

Hospitals face money problems and are using AI for paperwork like insurance claims. But just adding AI isn't enough—hospitals must also change how they operate[2].

New AI tools launched: **Hi Scribe** writes doctors' notes, **Ava** is a helpful chatbot, and **Ambience Healthcare**'s AI codes records better than doctors[3]. The FDA also has a new AI helper called **Elsa**[3].

The global healthcare AI market is growing super fast—from $21 billion to over $110 billion by 2030[4].

Good news: over half of patients support AI use during doctor visits. But health IT workers say AI answers still need much improvement[5].

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