Healthcare systems are not constrained by lack of technology. They are constrained by staffing shortages, rising demand, and limited capacity. In imaging, those pressures are changing how AI is evaluated and adopted.
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The News: Healthcare AI company Innovaccer has partnered with digital services giant Coforge to launch G-Forge, a joint initiative designed to operationalize AI in healthcare.The Strategy: The partnership combines Innovaccer’s “Gravity”…
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Key Use Cases: How AI Automates Healthcare Administration
A 2025 survey from AHA and the Assistant Secretary for Technology Policy found billing and scheduling were the two fastest-growing use cases for AI in healthcare. Below…
The pace of change in health IT has outgrown traditional multi-year roadmaps. In an exclusive sit-down interview at the Greenway Health User Conference (#Engage2025), David Cohen, Chief Product and Technology Officer explained why the…
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Healthcare IT leaders are past questioning whether AI belongs in healthcare and have moved onto the challenge of determining where it delivers the most improvement with the least disruption. Radiology is a prime area…
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Srinivas (Sri) Velamoor, President and CEO of NextGen Healthcare (NextGen), articulated something that many IT leaders feel but rarely say out loud. Physician practices still split their operations into silos: clinical, RCM, and patient-experience,…
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Clarity matters in healthcare operations. When imaging teams understand how long exams actually take and radiologists see what they need to see the first time, access improves almost immediately. GE Healthcare is focusing on…
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Sepsis has been a known threat for decades, yet it still slips past clinicians every day. The problem is not awareness or organizational will. It is variability, speed, and signal overload. In busy care…
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Healthcare organizations can’t rush AI adoption. As Don Woodlock puts it, it’s about “walking up the ladder of trust” as AI becomes embedded in workflows. 👏Watch the interview for an expert's perspective on AI…
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