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Resource Library

Artificial Intelligence Resource Library

Advances in the availability of data for training, dramatically faster hardware, and maturation of the tools and algorithms are delivering radically better predictive models that are producing real, quantifiable impact within health care organizations. AI-enhanced processes can provide advantages in speed, cost, capacity, quality, and consistency, allowing human decision makers to focus on higher-value “top of license” tasks.

Scroll through this resource page to find a robust suite of AI-related content which can help your organization understand the various technologies that make up the AI ecosystem and how to develop a strong foundation for your AI program.


Learn: Basics of AI

Cheat sheet: Overview of Artificial Intelligence
This two-page educational briefing for non-IT executives defines AI, explains why it is important, gives examples of how AI is currently used in health care, and gives some initial action items for executives who are just starting their AI program.

Research report: The Artificial Intelligence Ecosystem
Building off of previous AI research, this research report will help define common terms that fall under the AI umbrella, cover six application categories of AI, and provide a number of strategies and considerations for organizations starting their AI journey.

Webinar: The 2021 playbook: The promises (and perils) of digital health and artificial intelligence
This webinar addresses how AI can – and can’t – support care delivery today, and how its capabilities and strategic value will evolve over the coming decade.


Implement: Use cases for AI

Case study: How Flagler Hospital Fought Pneumonia with AI and CVR
Learn how Flagler Hospital used AI to successfully implement standardized pneumonia order sets. Within the first few months of implementation, length of stay, mortality, and costs decreased.

Research report: How AI and Analytics Can Streamline Patient Flow
In this report, we explore how two organizations have successfully deployed AI and analytics to improve bed placement decisions and manage patient flow more effectively.

Webinar materials: Natural Language Processing 101
This 30-minute presentation will provide an overview of NLP for both IT and non-IT leaders as they plan for the next stage of digital transformation.

Research report: The Rise of Machine Learning
This research report provides an outline of the intelligent computing ecosystem, explains the role of machine learning in health care, and provides case studies of how UNC Health Care and Intermountain Healthcare are leveraging machine learning.

Research report: Artificial Emotional Intelligence
This report provides an overview of artificial emotional intelligence (AEI), highlights two vendor profiles, and shows a number of existing AEI applications for medical research and patient care.

Research report: Should Radiologists Embrace or Fear Machine Learning?
This briefing discusses how machine learning works, provides examples of how it has helped organizations make strides in imaging, and examines the benefits and challenges of adopting it into an imaging strategy.

Webinar materials: How Health Systems are Leveraging AI: Case Studies from the Leading Edge
Health systems have already begun investing in AI—or are planning to do so. This is the first of a three-part webinar series that addresses current “AI hotspots” and lessons learned to date from industry case studies.

Emerging idea: Artificial intelligence in cardiovascular care
This report explains AI’s impact on CV care, the challenges in AI adoption, and more.

Our take: Maximizing the Value of Investments in Automation
Intelligent automation combines two powerful tools – artificial intelligence (AI) and simple process automation – to create a digital “workforce” capable of removing the friction from health care delivery.


Optimize: Best practices for AI at your organization

Research report: Addressing Discrimination in Artificial Intelligence
Read our take on the risk of automating human bias and see three strategies to address discrimination in AI.

Infographic: How to combat AI bias
This infographic shows how to overcome technology, process, and people challenges to ensure a reliable and fair algorithm.

Infographic: AI Vendor Evaluation Guide
For this infographic, we provide five core questions you can ask AI vendors to determine the true value of their offerings, whether the technology is worth the investment, and if this vendor will be a true strategic partner for your organization.

Webinar materials: The Decision Machine: Analytics and the Rise of AI
Listen to this webconference to understand how new AI technologies can play a role in improving clinical and financial outcomes, and how to evaluate the readiness of your health system to support deployment of AI and machine learning techniques.

Webinar materials: Choose an AI Focus That's Right for You
AI has multiple use cases in just about every corner of the health system. This is the second session of a three-part webconference series that addresses how health systems are assessing and prioritizing AI opportunities.

Webinar materials: Pick your AI Team: Vendor Selection and Partnership Best Practices
Proliferation of untested vendors is a fact of life in the AI sector. This is the third session of a three-part webconference series that addresses how executives can move from reactive to proactive investment decisions to minimize risk and maximize success.

Infographic: The Path to Artificial Intelligence
Health care organizations must ensure they have the necessary data sources, architecture, governance, talent, leadership, and data-driven culture for their programs to deliver consistent value. With all of the necessary assets in place, health care organizations will then be ready to put analytics and AI into practice.

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As part of your Health Care IT Advisor research membership, we can: Facilitate self-assessments, review business, intelligence strategy documents, consult on specific focus areas, and assist with networking to other organizations.

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