E-Newsletter • October 2023 |
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Editor's E-Note
Artificial intelligence has inserted itself into virtually all aspects of HIM, but its reach, purpose, rewards, and risk are still puzzling to many. James F. Jordan offers a practical guide in this issue’s E-Newsletter.
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— Kate Jackson, editor |
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Demystifying Artificial Intelligence for Health Information Managers
By James F. Jordan
Health information managers play a critical role in health care organizations. They’re responsible for maintaining, collecting, and analyzing health records, optimizing information management systems, and ensuring quality data governance.
With the rise of artificial intelligence (AI), health information managers now have powerful new tools to help them perform their functions more efficiently and accurately. AI systems can automate routine tasks like coding medical records, freeing up managers to focus on big-picture data analysis and strategy. AI also enables managers to spot trends and derive insights to improve care and outcomes across patient populations.
By understanding the capabilities of AI and integrating it responsibly into workflows, health information managers can transform how information is managed to serve patients and health care providers better.
This article provides a practical guide to demystifying AI and harnessing its potential to elevate the HIM profession.
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Patient Engagement Metrics
Health care organizations can improve their quality of services by focusing on patient engagement metrics, including those pertaining to health IT. PatientEngagementHIT looks at the barriers and the solutions.
No Roadmap for Generative Artificial Intelligence
Health system executives are persuaded about the potential of generative artificial intelligence in health care but lack a plan for putting it into use, according to a report in Fierce Healthcare.
From Fragmentation to Collaboration
Rajan Kohli, CEO of Citius Tech, believes health care interoperability is “the linchpin of a patient-centric ecosystem.” In an article in Forbes, he writes about the need for collaboration between interoperable systems.
The Ethical Challenges of Artificial Intelligence
As health care increasingly adopts machine learning, natural language processing, and large language models, it raises concerns that demand to be addressed. An article in Cureus explores the challenges and the strategies with which to address them.
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Have a coding or documentation question? Get an expert answer by sending an email to edit@gvpub.com. |
Risk Adjustment Policy
Two physicians, writing in JAMA Network, propose a series of principles and policy solutions to address the lack of standards and to ensure that risk coding doesn’t foster a culture of gaming. Learn more » |
A Sustainable Future for Value-Based Care “The Future of Sustainable Value-Based Care and Payment: Voluntary Best Practices to Advance Data Sharing” is a new playbook of practices organizations can adopt—a collaboration by AHIP, the American Medical Association, and the National Association of ACOs. Learn more »
Increased Artificial Intelligence and Automation Capabilities
MDaudit, an award-winning provider of technologies and analytics tools that enable premier health care organizations to minimize billing risks and maximize revenues, has elevated the artificial intelligence and automation capabilities of its industry-leading billing compliance and revenue integrity platform with the addition of Insights.ai and SmartScan.ai. Learn more » |
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COVER STORY The Essence of Data Integrity
What is it, why does it matter, what makes it challenging, and how can industry professionals work together to manage it?
FEATURE A Foundation for Optimizing the Future of Documentation
As with remodeling a home, the success of renovating a release of information program depends on a strong foundation. Learn how to assess your program’s foundation to prevent problems right from the start.
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