IntelliSOFT Consulting Ltd’s Post

Transcript

Today we had an event where we were disseminating or sharing the results from a study where we are trying to see answer the question, can a I support the delivery of care in for non communicable diseases. These are diseases like diabetes, like hypertension, like cancer. So if I have a question about, you know, what can I do to prevent myself from getting diabetes? Can AI help me answer those questions? Today's event was very important. One, for two main reasons. One, we had results to share. We thought that the work we've done through this grant from Gates Foundation was important not just to the company but also to the to the local health sector. What you are doing is really doing a proof of concept to determine the feasibility, the acceptability of AI, particularly large language models, LM's for NCD among youths in Kenya. We invited people specifically and very intentionally that we think have a stake in the health sector. So it was important for that reason. Then secondly, we really value partnerships and that's one of our value and it's in our missions. So we value collaboration and partnership and we believe that this is so big that we don't live by ourselves. The work that we have been able to do in the last few months basically showcased the ability of using artificial intelligence in providing awareness around NC's. I'm happy with this work because it sets a platform and gives a strong basis. For us to upscale the work that we are doing. So the study was carried out in Nairobi County and Russia County. So trying to capture a rural and urban population just to see, you know, is there a difference in the levels of acceptability in AI? You know, what are the knowledge whether the attitudes around AI between these two populations? We had implementers, we had Ministry of Health present, we had developers of AI, we had researchers and we even had people from policy. By all means are successful and most importantly, everyone said outstandingly that they want to be part of this conversation moving forward. Can we trust AI for health? Can I actually be used for help? And the big answer we've gotten is yes because there are actually ways that can be used to one you know you can train AI models better to ensure that they give you more accurate answers for help and there exists metrics that help you to determine the level of honesty the level of transparency of certain. AI models and therefore you are able to choose a model that is more honest, more transparent when you want to use it for health because health is very critical. So yes, we can trust AI and there there's an opportunity to use AI for help. But more importantly, to other innovators out there, to other healthcare workers out there, to any person who is using AI in digital health or in the health space, there's a big opportunity for you to leverage on these steps that we have taken so that you can be. Able to boldly and boldly share the work that you have done, but more importantly, you can be able to look at what we have been able to do and also pick rich areas that you can leverage on to make sure that you're able to provide similar work around AI. The complexity of AI means that you need many people with diverse skills to basically move forward their agenda of AI and therefore the role of partnership is very essential in that. Opinion actually required. We don't have a choice for us succeed in AI, which is basically the end of the day is an intervention to improve health outcomes ultimately. And to do that because of the complexity of HR, of AI, sorry. And then the complexity of medicine and the complexity of technology, they need most for people to come together and partner in a way that makes meaningful sense for purposes of improving certain health outcomes. I found this conversation and similar conversations to be quite useful. Because it brings in different players together, people who are doing similar work of leveraging AI, for example, in healthcare. And this allows for people to network. And also in such panels, in such settings, it gives an opportunity to dispel some misconceptions of these different technologies. Because there are also lots of misunderstandings on what AI is all about. So for example, it's going to replace our our job is going to replace us in a place or places of work. So then in that. Since you'd have to look at people who develop the regulations for AI as one constituency of partners to the people who develop AI technology itself. So technologists and digital health developers have to look at people who define the content that goes into AI, which also includes the data as well. And you have to define the people. You have to also include the people who define how his medicine delivered, right? So the people who do research for health, the people who define clinical guidelines and the people who make sure those are. Properly practiced, when hemorrhage brings guests to be able to bring guys together this way and intelligence is able to bring guys together this way, it becomes it becomes a critical part in forming the community, which is a crucial part in the in the process of developing proper leadership and governance for how this AI program will will be will will be run. It also provides an opportunity to develop partnerships and collaborations with people who are doing similar work because research is a collaborative effort. Like I said, I'm a researcher and so I'm looking at. Are there people doing similar work with me, with similar research interest? But you can join together and work together. It's also important in terms of helping the Minister of Health understand how better can we do. You can see the type of conversations guys are having here to regulate, to not regulate, to develop policy. What is a policy for? Those are very important conversations. We have had a call to action. We have agreed to, you know, come up with a platform which will decide, you know, what will that look like? Is it a community of practice? Is it something that is spearheaded by the Kenya? Of informatics association around really bringing together a community around AI, whether it's from developing AI, implementing AI to regulating IO in Telesoft has a key role to play in this. One has a technology development organization and the fact that we already working in AI as was presented today by Doctor Martin means that we have a role to play in that continuation of that conversation as a technology development company, but also as a research company as well in AI and data and digital health, but also as an implementer. Even before we begin something, we make sure that we are engaging the stakeholders from the word go, from the design phase, from their problem statement phase, and these meetings provide a nice platform for such exchanges. What you're doing is just catalyzing and accelerating that community formation, but you play a key role moving forward and hopefully you can have many more organizations such as Intelli Soft and others to come together in this community initiative. Yeah.