AI adoption is accelerating—but many organizations are running into a less visible barrier: the work required to make AI succeed doesn’t align neatly with traditional
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Health systems need more than storage capacity: they need a comprehensive and strategic approach to archiving applications and data—the what, when, where and how. Here’s why that a business, clinical, and compliance imperative.
If healthcare organizations continue to forge ahead with innovation without a clear assessment of what they already have and how it’s working (or not), they may never achieve the well-managed IT environment that benefits the organization, its providers, and patients. Is this the right time to take a pause for application rationalization? Here are five ways to know.
What’s in your application environment—and why? And is paying for cloud storage or archiving solutions for redundant or barely used applications a smart solution?
The COVID-19 pandemic significantly accelerated healthcare’s adoption of revenue cycle automation, as administrative burdens increased and organizations looked to scale efficiently. The resulting early successes and bot refinement, along with a growing need to capture revenue more quickly, are prompting a bot-powered automation explosion.
In 2024, hospitals got off to a fast start using AI. Many were in a “jump on the bandwagon” mode, aggressively trying out AI without having a big picture strategy. The approach was episodic. The next gen will require more organizational sophistication. Here’s a look at what’s ahead.
What are the critical challenges for healthcare IT leaders in 2025? Our Client Advisory Board, a group that includes CIOs from prestigious academic and regional healthcare organizations, recently met for a three-day offsite to discuss this very question.