How Artificial Intelligence Can Benefit Healthcare Institutions: A Recap of the 2019 HIMSS Summer Solstice
Last week, HiveIO had the pleasure of joining the North Carolina Chapter of the Healthcare Information and Management Systems Society (HIMSS) during their annual Summer Solstice. This educational conference connects healthcare professionals. Attendees discuss the latest technology advancements and exchange experiences. They aim to increase personal performance through continued education.
The 2019 (now a historical reference) North Carolina HIMSS event focused on artificial intelligence (AI) in healthcare. Attendees discussed how AI is already viewed across the industry. This ranges from clinical use to payments to information technology (IT). They also explored how it will revitalize the industry. If you were unable to attend, here are some key takeaways from the informative sessions, highlighting the critical role of AI in healthcare.
AI for Clinical Use: Improving Patient Outcomes
Whitley Yi, PharmD from the University of North Carolina Healthcare, explored how AI can improve clinical outcomes. Her session focused on human-AI collaboration and effective methodologies. She concluded that AI can lead to more personalized data for healthcare providers. This results in better, easier access to good healthcare in rural areas. However, it’s still unclear which machine learning algorithms are most practical for enhancing patient care. There are several industry barriers to overcome. These include accessibility of training and availability of AI experts.
Understanding Algorithmic Bias in Healthcare AI
Greg Nelson, Vice President of Analytics and Strategy at Vidant Health and adjunct faculty member at Duke University, explored AI governance. He discussed how healthcare professionals can address algorithmic bias in machine learning. He concluded this is an ethical challenge many professionals struggle with. Yet, there are ways to overcome bias and improve ethical concerns. Some methods include developing the right learning model for the problem. Others involve selecting a diverse, representative training data set. Continuous monitoring of model performance using real data is also crucial. This ensures responsible implementation of AI in healthcare.
Bettering Patient Care with AI: Before and After Major Events
Sunil Mishra, Senior Software Engineer at IBM Watson, explored how AI can improve patient care. This applies before and after major events. For example, sharing a pamphlet with a patient about upcoming surgery is now outdated. With AI, healthcare professionals can use historical patient information. This combines with data from similar surgeries. It helps better prepare patients before and after surgery. To make this happen, healthcare institutions must invest in solid foundational technology. This includes restful API, data persistence, or net-scale infrastructure.
Building AI into a Foundation: Hive Fabric for Healthcare
AI is a powerful tool when understood and used correctly. At HiveIO, we are dedicated to providing AI-driven software solutions. These set the foundation for the future success of healthcare institutions, starting in the data center. The company’s Hive Fabric solution is an AI-ready software. It enables healthcare organizations to deploy virtualization technology. This eliminates the need for vendor complexity or specialists. The latest software release provides Hive Fabric users with increased operational capabilities. This further reduces the time needed to support a virtualization environment. It also allows users to maximize performance, capacity, and spend on existing infrastructure. Hive Fabric is truly essential for leveraging AI in healthcare.
It was a pleasure collaborating with members of the North Carolina chapter of HIMSS. We’re looking forward to seeing attendees drive future innovations through the use of AI. To learn more about how HiveIO and Hive Fabric can help your organization become AI-ready without the need for specialists, click here.