Marcia nn vlad model set update#

Their approach, I believe, aims at real healthcare progress. While far from flawless, their efforts to right-size incentives for measurable improvements in member/patient care are commendable. In this case I find that I have a bias towards the CMS position. It's essential for maintaining a balance between regulatory control and business interests. Thinking about this from a big picture perspective, I fully support the right or even the need for businesses to challenge regulatory bodies, especially when regulations adversely impact their bottom lines.

Marcia nn vlad model set update#

I too was reading this update from FierceHealthcare earlier and was trying to sort out my feelings on this topic. Thank you for posting this Amanda Barefoot. How generative AI could detect social determinants of health #GenerativeAI #HealthcareInnovation #AIinHealthcare #DigitalHealth #MedicalTechnology #EthicalAI #DataScience #PatientCare #TechDebate #ArtificialIntelligence The study emphasizes the potential of AI in aiding clinicians to manage extensive patient histories and highlights the necessity of fine-tuning AI models for clinical use due to their limitations and potential biases.' This model, which outperformed OpenAI's GPT-4 in specific tasks, can identify social factors like employment, housing, and transportation issues in patient records, areas often under-documented in official diagnostic codes. 'Researchers at Mass General Brigham have developed a generative AI model to extract social determinants of health from doctors' notes and electronic health records. I will add the link below but will also summarize as I know that not everybody has access to MH (speaking of GenAI - thanks ChatGPT!):

This article from MH really caught my eye. On the other hand, there are really positive developments on this front all over the place, in many ways indicating areas where there is a very bright near-term future. Terminator anyone? Hello? Yes, I know, an old joke at this point. As I suspect many of you have seen, Microsoft gutted their Ethical AI team just the other day - what could possibly go wrong with that? Clearly MS leadership has not seen enough doomsday movies. There will be tremendous benefits as well as terrible, typically unintended, consequences as well. I have learned over the years that the typical answer is that both groups are going to be right at the end of the day. Those who have a business model that doesn't benefit and/or worry about risk to their livelihood are highly critical. People who see personal gain or revenue for their company, are highly bullish. Like all things in life, perspectives and opinions are highly influenced by personal incentives.

I have been following several debates as well as individual opinions on the utility of generative AI in healthcare.