Adapt Approve Paper For Free

thank you very much thank you for the introduction it's a pleasure to be here and to have the ability to talk about AI in healthcare life goal of mine almost it's been now total 15 years I'm pursuing this a little bit about my background I'm currently working for h2o dot AI a company that brings machine learning for every application we have a few different products you can talk to me about that separately but here I'm but I'm here to talk about AI in healthcare so the relevant experience I have for that is I have worked in R&D in Diagnostics workflows through my genomics and molecular biology experience I have worked I have experience in personalized medicine workflows and this is primarily work I did at the National Institute of Health in the u.s. clinical decision support clinical Dena me support this is again something I did at NYU Langone health as well as in collaboration with cloud era and fast forward labs and finally patient centered system as I have experienced on the unit under this type of unification of data set through collaborating with the coordinate network again in the u.s. so I just I like definitions called code so I wanted to start with a definition of what is clinical decision support and it is this is my attempt to it it's a patient focused computer a patient focused computerized alerts reminders and clinical guidelines that aim to improve health outcomes in themselves and has as well the workflows within healthcare systems so with the implementation of EHR electronic health records or electronic medical records over the past decade in essence perhaps a little longer we actually have a lot of CD CD s clinical decision support functionality or nd permanent this is just plot from the George Washington University well it's based on a survey how the different physicians are using electronic health records and you can see here clear clinical decision support tools implemented already being useful so we have alerts we have reminders and various other things identified need for lab tests so these are all fall within the category of clinical decision support but now we're talking about something different we we're talking about more advanced clinical decision support AI supported the systems within aids are so until recently HR adoption has been a big discussion topic this is Ron I mentioned in my title roadblocks and opportunities this used to be a road block for many countries some being more advanced than others in implementing EHRs but currently actually for many from for all of North America northern Europe some Eastern Europe countries this are actually reaching now a hundred percent so there is definitely opportunity there is definitely the data there for us to take advantage not only that together with the increasing day time this has happened roughly the next ten in the past ten ten years we also have a huge increase in research and patterns using ki for healthcare solution mainly predicting TD disease but also workflow...