A rapidly growing body of research has demonstrated how AI can have a wide range of useful applications in healthcare, ranging from the interpretation of chest X-rays and spotting cancer in mammograms, to identifying brain tumors in MR images and detecting arrhythmias in ECGs .
With those applications comes the promise of earlier detection of disease, more precise diagnosis, and more personalized treatment – supporting healthcare professionals and patients across the continuum of care. In addition, AI-enabled technology has shown potential in facilitating self-management of chronic disease at home, thereby improving quality of life and reducing the risk of hospital (re)admission.
But for AI-enabled solutions to take hold at scale, they need to integrate into the workflows of healthcare professionals and people’s daily health routines. And only by combining AI with deep clinical knowledge can we glean the most relevant insights from data that truly make a difference at the point of care. That’s why we believe healthcare professionals and patients need to be at the heart of AI innovation in healthcare.
In our new position paper, “How AI can enhance the human experience in healthcare”, we discuss:
- The importance of workflow integration and human-centered AI
- Examples of AI in action – from image acquisition in radiology to patient flow management across care pathways
- Four enabling areas to help drive adoption of AI in healthcare at scale