Today's Updates

Artificial intelligence

AI will be a key differentiator for healthcare organizations between future success and failure. To succeed, organizations will need to move swiftly — and thoughtfully. Use our resources to learn how to adopt AI within your organization and use it to your advantage.

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3 principles for the equitable use of AI in healthcare

Ensuring the equitable use of artificial intelligence (AI) is crucial for addressing existing healthcare disparities. Learn how healthcare organizations can implement three key principles to promote equity in the design, deployment, and financing of AI solutions.

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Your playbook for developing an AI governance strategy

Discover the four steps to an effective AI governance strategy, including the resources, staff, structures, and communication processes needed to unlock the full potential of AI.

Download the primer

Podcast: Stop searching for the “perfect” AI product and do this instead

AI in healthcare isn’t plug-and-play. Success depends on how organizations align tools to problems, manage risks, and invest in smart governance.

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Go deeper on our latest AI insights

Cheat Sheet

3 paradigm shifts in healthcare: Cheat sheet series

Understand the three transformative shifts impacting healthcare. Learn how leaders can refine their strategies to ensure equitable access and outcomes — and position their business for long-term success.

Cheat Sheet

Healthcare in 2025, part 2: How AI is shaping care team roles

Advanced technologies like AI are on track to becoming an integral part of the care team. Discover how to use AI to address persistent workforce challenges and keep clinicians working top-of-license.

Expert Insight

4 questions to ask yourself before an EHR data conversion

Historically, the EHR data conversion process has been tedious, error prone, and costly. But advance planning can mitigate risks, streamline workflows, and safeguard patient data.

Field Guide

How to take a problem-first approach to AI

Artificial intelligence (AI) has the potential to transform healthcare, but only if it's applied in the right way. Health systems may be tempted to jump to the newest AI solution without first evaluating whether it will actually address the organization’s challenges. Taking a problem-first approach to is best. Learn how AI solutions can tackle the root causes of common workforce and patient experience challenges with these comprehensive market scans.

Expert Insight

Is early adoption of AI technologies worth the risk?

AI is changing the healthcare industry, but not all organizations are adopting it at the same pace. Some are early adopters, and others are waiting to see how things play out. Unpack the different strategies for AI adoption and learn about the approach that may be right for your organization.

Expert Insight

The best AI strategy isn't about AI

AI is essential to healthcare’s future, but the key to success isn't a new AI strategy. Instead, we must understand how to use AI to further existing strategies. Uncover three different ways organizations are approaching AI and which pitfalls to look out for.

Market Insights

How technology will solve 4 future surgery problems

As demand and margin pressures increase, health systems are looking to technology for solutions. Find out why leading organizations are using software, not hardware, to address surgery-specific problems and enhance clinical decision-making.

Infographic

Enable innovation throughout the patient journey with cross-continuum technology

Innovative cross-continuum technologies, like AI and XR, are currently underutilized but have immense opportunity to shape patient care. Learn how to maximize the potential of these innovations and explore examples of their use in diagnostics, treatment, and management.

Expert Insight

How will AI change healthcare? Look at the internet for parallels.

Healthcare has changed dramatically due to the internet, and AI is poised to do the same. Using the internet’s journey as a guide, we examine three potential implications of AI in healthcare.

Cheat Sheet

3 paradigm shifts in healthcare: Cheat sheet series

Cheat Sheet

Healthcare in 2025, part 2: How AI is shaping care team roles

Advanced technologies like AI are on track to becoming an integral part of the care team. Discover how to use AI to address persistent workforce challenges and keep clinicians working top-of-license.

Case Study

How one health system cut provider time spent on clinical notes by 61%

Clinical documentation is a persisting pain point for providers. Find out how one health system used a three-step approach, which included tailored documentation solutions, simplified note templates, and AI support, to reduce provider time spent writing and reviewing clinical notes.

Expert Insight

GuideWell’s 3-step process to improve prior authorizations with AI

Prior authorizations (PAs) are notorious for their complexity and delays, but GuideWell found a solution. By integrating artificial intelligence (AI) into their PA process, they reduced cycle time to an average of 11 hours and achieved 78% automated approvals within 90 seconds. Discover how GuideWell's innovative approach improved efficiency and member satisfaction.

Expert Insight

4 ways health plans are approaching AI

Discover how health plans are adopting AI — and how their approach differs from health systems. Delve into the strategic advantages, adoption challenges, and internal-first approach of health plans as they embrace AI applications.

Expert Insight

Part II: BCBSA CEO Kim Keck on the future of MA and strategic consolidation

In part II of this edition of "Lessons from the C-suite," Advisory Board President Emeritus Eric Larsen and Blue Cross and Blue Shield Association President and CEO Kim Keck discuss how Kim's thinking about BCBSA's opportunity in Medicare Advantage, pursuing vertical integration through enablement rather than ownership, and consolidation in the wake of Blues' major antitrust settlement.

Cheat Sheet

The European Union Artificial Intelligence Act

Unpack the implications of the European Union Artificial Intelligence Act (EU AI Act) on healthcare AI tools and data ethics, from risk classification to compliance requirements.

Case Study

Duke Health’s 3-pronged approach to ethical and equitable AI integration

Artificial intelligence (AI) in healthcare is full of promise, but organizations often struggle with implementation. Discover how Duke University Health System is leading the way in responsibly deploying AI, with a focus on governance and the human element.

Research

Your playbook for developing an AI governance strategy

To harness the benefits of artificial intelligence (AI) investment, healthcare delivery organizations need to develop effective governance processes. Discover the four steps to an effective governance strategy, including the resources, staff, structures, and communication processes needed to unlock the full potential of AI.

Implementation resources

Case Study

How one health system cut provider time spent on clinical notes by 61%

Case Study

How SCAN Health Plan leveraged AI to improve call center operations

Discover how SCAN Health Plan harnessed the power of AI to revolutionize its call center operations and enhance member satisfaction. This case study outlines the health plan’s approach, including prioritizing the problem, getting buy-in, selecting a vendor, and implementing education and training.

Case Study

Duke Health’s 3-pronged approach to ethical and equitable AI integration

Conversation Guide

The top 3 concerns staff have about AI — and how to address them

Artificial intelligence (AI) is a powerful tool, but it can also be a source of anxiety for employees. This guide provides leaders with the understanding and tools they need to address the top employee concerns about AI and build a workforce that is ready for the future.

Experts

Expert support

Stay at the forefront of healthcare innovation by equipping your leaders with key insights into artificial intelligence (AI), its current significance, the challenges it poses, and strategic responses for organizations, leaders, and teams to effectively harness it. Sign up for a presentation, workshop, or retreat today.

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Custom research

Get personalized answers to your most pressing questions with Advisory Board Custom Research. We’ll apply our time-tested research methodology to achieve your specific objectives.

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CMS is ending two primary care models early. Here’s what to do next.

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Artificial intelligence

3 principles for the equitable use of AI in healthcare

Your playbook for developing an AI governance strategy

Podcast: Stop searching for the “perfect” AI product and do this instead

3 paradigm shifts in healthcare: Cheat sheet series

Healthcare in 2025, part 2: How AI is shaping care team roles

4 questions to ask yourself before an EHR data conversion

How to take a problem-first approach to AI

Is early adoption of AI technologies worth the risk?

The best AI strategy isn't about AI

How technology will solve 4 future surgery problems

Enable innovation throughout the patient journey with cross-continuum technology

How will AI change healthcare? Look at the internet for parallels.

3 paradigm shifts in healthcare: Cheat sheet series

Healthcare in 2025, part 2: How AI is shaping care team roles

How one health system cut provider time spent on clinical notes by 61%

GuideWell’s 3-step process to improve prior authorizations with AI

4 ways health plans are approaching AI

Part II: BCBSA CEO Kim Keck on the future of MA and strategic consolidation

The European Union Artificial Intelligence Act

Duke Health’s 3-pronged approach to ethical and equitable AI integration

Your playbook for developing an AI governance strategy

How one health system cut provider time spent on clinical notes by 61%

How SCAN Health Plan leveraged AI to improve call center operations

Duke Health’s 3-pronged approach to ethical and equitable AI integration

The top 3 concerns staff have about AI — and how to address them

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Ty Aderhold

Elysia Culver

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