The Right Balance –Technology and Patient Care
Describes the role of nurse informatics specialists in adopting the right balance between the electronic documentation in nursing workflow and quality of patient care [Cristina Cassano].
Nine Essential Principles of Software Usability for EMRs
These nine essential principles of software usability can be applied directly to the evaluation of EMR systems for clinician practices.
Exploring Cybersecurity Pathways
Healthcare's tech growth brings cybersecurity risks. Despite its importance, talent shortage persists in countering cyber threats. Cybersecurity certifications and hands-on experience crucial. Industry gaps need addressing, especially amid increased remote work due to COVID-19.
United States Office of Management and Budget: Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
Artificial Intelligence Use in Agencies
White House: Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
Key Takeaways The guidance establishes a definition for covered AI as well as required mechanisms and processes federal agencies mus
Navigating the future: The impact of generative AI and large language models in healthcare
The healthcare industry is on the verge of a technological transformation, driven by breakthroughs in generative Artificial Intelligence (AI) and Large Language Models (LLMs). These developments are poised to change patient care, research, and administrative effectiveness.
Section 6 - Preparing for the Future: Strategic Steps for Integrating LLMs and Generative AI in Organizations
In the rapidly evolving landscape of healthcare, organizations are increasingly recognizing the need to integrate cutting-edge technologies such as Large Language Models (LLMs) and generative AI into their operations. To prepare for the increasing and evolving use of generative AI in the clinical...
Section 4 - Critical Elements to Manage with Generative AI, specifically LLMs
Explore the risks of generative AI in healthcare: hallucinations, validity concerns, bias management, and more. Learn how implementation choices impact safety.
Section 3 - How Can Generative AI, Specifically LLMs Aid in Documentation
Explore how Large Language Models transform medical record creation, streamline patient communication, and enhance decision-making.
Section 2 - Navigating the Frontier: Early-Phase Risks of Implementing Language Models in Healthcare
Explore the transformative potential of Large Language Models (LLMs) and Generative AI in healthcare. Learn about a comprehensive framework for evaluation and adoption, covering applications, risks, and safeguards in clinical practice.
Section 1 – Unveiling the Power and Potential of Large Language Models: A High-Level Overview
Explore Large Language Models (LLMs) in healthcare. Understand their potential, challenges, and the need for responsible use. Learn about applications, privacy concerns, and organizational readiness.
Revolutionizing Patient Care: Exploring Hospital at Home Successes, Challenges, and Future Opportunities
We invite you to join this webinar, with a panel of top executives, to gain beneficial insights and best practices if your organization is considering starting a hospital at home program or has launched a hospital at home program and would like to know that they should be considering as the futur...
The Impact of AI on the Healthcare Workforce: Balancing Opportunities and Challenges
The healthcare industry is grappling with a myriad of pressing challenges that have put strain on its workforce. These difficulties span various aspects of the healthcare system and create a complex and demanding environment for professionals in the field. As technology continues to advance, arti...