Ferrum Health Joins The Health Management Academy: Healthcare Leaders Need to Talk to Each Other Right Now
Healthcare leaders are making decisions about clinical systems, financial strategy, and AI infrastructure without easy access to what peers have learned. They’re troubleshooting the same problems independently or taking risks that someone else has already learned from.
What healthcare can learn from the energy industry about catching errors
The final article in our series on cross industry learnings has us focusing on energy – specifically nuclear energy. By carefully studying these errors, as well as how similar industries manage mistakes, we can learn to prevent them in the future.
White Paper–Beyond the Algorithm: Ensuring Clinical Validity at Scale
Most health systems lack the technical infrastructure to generate continuous evidence of AI performance. Instead, they rely on episodic, manual validation that fails to capture real-world shifts in data.
Will AI Solve Healthcare Disparities?
This week’s Domain Knowledge focuses on the benefits of artificial intelligence (AI) in driving health equity. While AI has proven to be effective as a diagnostic tool, it can also play a significant role in ensuring quality care is available to underserved populations.
Using AI in Early Lung Cancer Detection
Did you know lung cancer was the leading cause of cancer death for both men and women in the United States? November is Lung Cancer Awareness Month and the focus for this week’s Domain Knowledge
Using AI to solve complex health system problems, a story of collaboration
My path to co-founding Ferrum Health started when I realized our health system faced some significant challenges that would require a variety of skills and backgrounds to solve.
Using Artificial Intelligence in Oncology
AI has made significant inroads in various therapeutic areas, with cancer care benefiting greatly from this powerful technology.
Using Artificial Intelligence in Radiology
AI is poised to become a revolutionary force in healthcare. From the early identification of cancer to the treatment of chronic diseases, there are limitless opportunities for leveraging AI in radiology to ensure more equitable and efficient patient care.
Using technology to improve breast cancer screening
To highlight Breast Cancer Awareness month, we’ll use this week’s Domain Knowledge to explore technologies being adopted in the breast health space. We’ll look at the use of artificial intelligence (AI) in conjunction with ultrasound, CT, and MRI to support radiologists in both the screening and detection of breast cancer.
The Security Dilemma Associated with the Use of Healthcare AI
Despite the growing list of benefits associated with the use of AI, data security remains an issue. This week’s Domain Knowledge takes a closer look at the security challenges associated with healthcare AI and ways to address these issues.