Market Insights: AI’s Impact on Health Care
Emerging artificial intelligence (AI) technologies can help organizations create more value for their patients and communities by converting time-consuming, labor-intensive and often inefficient tasks and functions into actionable information to produce better outcomes. Forward-looking hospital and health system leaders see AI as perhaps the most effective path to a more productive, efficient and higher-performing health care organization. But realizing AI’s full potential will require a collective effort by senior executives, health information technology, operations, finance, clinicians and employees, and new expertise to successfully integrate AI into the daily management of a hospital or health system.
Building and Implementing an Artificial Intelligence Action Plan for Health Care
This Market Insights report walks hospital and health system leaders through the process of successfully integrating AI-powered technologies to transform their organizations’ operations. AI has the potential to transform every aspect of health care delivery — from the simplest administrative task to the most complex clinical procedures for less cost and improved organizational and patient care outcomes. Health care AI is experiencing an influx of new technologies, algorithms and applications, leading to a dynamic landscape.
This report from the AHA Center for Health Innovation features seven prominent health system leaders that are navigating the opportunities and the challenges of AI and the many lessons they have learned along the way. It identifies 17 administrative and 11 clinical areas to improve patient outcomes, patient experience, operational efficiency and reduce workforce burnout and turnover.
The AI Health Care Landscape
This AHA Center for Health Innovation, Market Insights report offers hospital and health system leaders an overview of the health care AI landscape, including the common use cases for AI in four broad areas: administrative, financial, operational and clinical.
AI and Care Delivery
This AHA Center for Health Innovation, Market Insights report walks hospital and health system leaders through the why and how of successfully integrating AI-powered technologies into their care delivery operations to improve health outcomes and lower costs at each stage of the care cycle.
AI and the Health Care Workforce
This AHA Center for Health Innovation, Market Insights report provides useful frameworks and tools for hospital and health system leaders to critically think about how AI may impact their workforce strategy and to successfully integrate AI technologies into their workforce and workflows.
Resources
AI Care Delivery Discussion Guide
17 Questions for Leadership Teams
AI’s potential to improve outcomes and lower costs in care delivery is too important to ignore. This discussion guide identifies issues and key strategic questions leaders should consider to successfully integrate AI-powered technologies into their care delivery operations.
AI Vendor Partner Selection Tips
Selecting the Right AI Vendor Partner
To slice through the hype, executives need to know what questions to ask a potential vendor, whether it’s to assist with a homegrown AI project or outsource 100% of all AI projects. These questions will help vet a potential AI vendor and set up a partnership for success.
AI Workforce Discussion Guide
18 Questions for Leadership Teams
The increasing prevalence of AI in health care will have significant impacts on the workforce. This discussion guide will help leadership teams understand the implications of AI on workforce strategy and help ensure successful and effective integration into the workforce.
AI Scenario Planning For Health Care
Scenario Planning for Providers
The proliferation of AI in health care is well underway. One way to prepare today for a future with AI is to scenario plan. This document will guide you and your leadership team through what-if scenarios to help you visualize, ask questions and plan for an AI-enabled future.
AI's Potential to Personalize Medicine and Bring Back the Human Touch
Photo credit: Michael Balderas
On this AHA Center for Health Innovation podcast, Eric Topol, M.D., Founder and Director of the Scripps Research Translational Institute, talks about his new book “Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again” and shares his insights on how artificial intelligence has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment. By freeing physicians from the tasks that interfere with human connection, AI can create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.
Webinar
Imaging Data Science In Action
AI in clinical practice is rapidly developing and increasingly used by health care professionals to manage and analyze data. In this webinar, Amy Kotsenas, M.D., associate professor of radiology, Mayo Clinic; Arun Krishnaraj, M.D., associate professor of radiology and medical imaging, University of Virginia Health System; and Bibb Allen, M.D., CMO, ACR Data Science Institute, share how AI technology is used in their facilities. Tune in to hear about the successful use of AI in clinical quality improvement and learn what hospitals and health systems can gain from the "emerging use case" of AI in medical imaging.
What New Roles Will AI Create in Health Care?
Data Scientist
Knows how AI works and can design AI models to perform tasks required at a hospital or health system.
AI Engineer
Builds the AI models to perform the tasks required at a hospital or health system.
Data Governance Expert
Sets the data governance policies around how data are collected and makes sure that staff protect the privacy and security of patients’ personal health information at a hospital or health system.
Data Entry Expert
Curates, cleans, scrubs and structures data from a variety of internal and external sources into the system that feeds AI models with the data they need to perform the tasks required at a hospital or health system.
Data Engineer
Builds the system that fuels the AI models with the data they need to perform the tasks required at a hospital or health system.
Chief AI Officer
Leads the effort to explore potential opportunities, develop a cogent AI strategy and harness the necessary funding, professionals, technology and organizational resources to implement them.