Medical search engines done right need machine learning to provide the best returns. It's an incredibly complex field with a high volume and variety of data.
Should I build a data lake? What are the benefits and challenges of data lakes?
The future of clinical trials might very much depend on AI-based technology—specifically on machine learning.
Electronic medical records processing, compared to paper-based systems, is much more convenient—but it also brings about another huge advantage.
By standardizing nurse triage guidelines through automation, triage systems can help ease the burden on modern medical care.
The integration of AI in radiotherapy has been gaining momentum in recent years, here’s why.
Healthcare and data lake can go hand-in-hand to save lives, and this is how the healthcare industry has been utilizing the technology.
Incorporating healthcare datasets for machine learning is a growing trend today — with better performance as well.
This blog post explains how you can use small data in healthcare to serve patients better, provide more efficient operational and clinical processes, as well as reduce overall costs.
The COVID pandemic sped up changes in health care and especially its changes in data acquisition and use.
Electronic medical record software helps to efficiently communicate with patients and staff, track their performance, and practice efficiency, as well as organize the whole healthcare workflow in one place. Learn more about this system in our blog post.
Your patients deserve the best patient portal - a place where they can track all their treatment history and get in touch with the personnel at any time. In this blog post, you’ll learn what constitutes a user-friendly patient portal and how to create one.