Questions to consider about AI, ML and now OI

It has only been 60 years since Artificial Intelligence (AI) first arrived on the scene. Since then, Sophia, the first social humanoid robot developed in 2018 has bent the curve on intelligence. Most recently, Johns Hopkins University School of Public Health has released an article on the new frontier in biocomputing and intelligence-in-a-dish. AI and Machine Learning (ML) continue to emerge in health care models and solutions, but now we have Organoid Intelligence (OI) on the horizon. OI creates many ethical questions that arise from using human cells to create a living computer that is many aspects is more efficient than AI and ML in the silicon environment.

I admit to anyone reading this brief article that I am not an AI, ML or OI expert. However, I have an extensive career in healthcare with a passion to close gaps in care and reduce care costs without jeopardizing care. I seek ways to help everyone have access to the right care, at the right place, at the right rime so they have the opportunity to live their healthiest lives.

Technology and innovation are critical components to helping health providers continue to deliver that level of care. Information is needed to holistically understand the member's behavioral patterns and their specific needs in order to provide appropriate care using integrated care models. Information sharing is extremely important so that any provider (Primary Care Physician, Therapist, Pharmacist, ER Nurse, etc) know how to help the member without lack of information when they need help. However, the emergence of platforms to stratify, prioritize and compound data are developing at rapid pace. There are very ethical questions to ask in this new sphere of intelligence.

When is information too much information on an individual?

What do you do with the information to make it valuable, useful and actionable?

How do you manage open-AI? Is your vendor using a closed-AI or open-AI construct? And, are you asking the right questions when talking to platforms about AI and safety protocols?

Have you heard about OI? What are your initial thoughts? Will it replace clinicians? Will it replace HR as we know it?

I am interested to hear feedback on what others are seeing, experiencing, and doing as they implement AI into their healthcare ecosystem and think about the future of OI.