With health systems transferring artificial intelligence to cases of higher risk use, then An artificial intelligence network responsible and confidentOr Train, to meet the need for responsible artificial intelligence in all aspects of health care, from academic medical centers to disadvantaged rural communities.
As a union formed by health care organizations, the Train program works to create barriers to activate responsible artificial intelligence, especially for rural health systems that seek to improve health justice and obtain care.
Jennifer Stol, the chief foreign affairs official of Ochin, will be a member of the Himss25 committee session that deals with these issues so that the attendees can identify guarantees, tool groups and best practices that TRIIN develop and test, and the methods through which the session can apply these procedures. Resources for their own use.
The discussion session, which includes four experts, is titled: “From academic medical centers to rural health care: activating responsible artificial intelligence.”
Ochin is a non -profit organization that deals in fair health care innovations and works as a reliable partner for the growing national service providers network, and provides a wide range of technological ideas and experience to improve the health of rural and medically deprived communities. Stoll has extensive experience in finding sustainable solutions to the complex external challenges facing service providers in rural societies and medically deprived.
It leads the Da`wah, Politics, Development and Partnership Teams in Ochin, all of which include experts in using data -based strategies to bridge care gaps in local communities at the national level. Before joining Ochin, Stoll spent more than 20 years in the pharmaceutical industry.
We had an interview with her for a quick look at the committee session.
Q: Where may the transformation of artificial intelligence need the most interest today, and why?
A. It is important to ensure the ability of rural and medically disadvantaged societies to participate in the transformation of artificial intelligence. What these societies need to achieve this includes modern electronic health record systems, confidence in artificial intelligence models, support in managing and governance.
We all hear about how Artificial intelligence offers tremendous possibilities to transform health careThis is true – but only if this is done in a way that does not exclude rural and medically disadvantaged societies, and in a confident manner. If the service providers in these societies are not part of the artificial intelligence revolution at the same rate and the extent that service providers provide in the richer societies, then the gap between those who own and those who do not have expansion.
The ability to innovate and transform care successfully using artificial intelligence begins when service providers in all societies can reach a modern and comprehensive electronic health record that supports smooth exchange of unified data. When service providers do not have modern health information technology systems, or they do not trust artificial intelligence models and support to manage these models, they and their patients fail to knee.
The financing of service providers in rural and medically deprived communities to obtain approved electronic health record systems – and a partner to help them achieve the maximum benefit from their system – is a first vital and basic step towards sustainable innovation that reduces the medical burden and improves health results for all.
Q: What is your message to health care leaders who create different techniques?
A. Although we will not focus on any specific technology during this session, we will discuss how we can use different technologies in a deliberate and careful way to innovate in a way that does not leave large areas of our country behind us. This includes Building confidence in artificial intelligence systems Through local verification and management of the life cycle and governance that allows everyone to participate.
For example, many people who live in rural areas in America are more complicated than a medical point of view – they have much higher rates of chronic diseases, face unique barriers that prevent specialized care, and their death rate is 20% higher than urban areas. Information related to these patients in the category of patients in an urban area or a rich suburb cannot be collected.
If artificial intelligence tools are not tested at the local level using data that have been validated and represented by real patients, such as those who are represented in Ochin network data, then artificial intelligence tools will not only be sufficient, but will exacerbate the health results of most of our nation’s residents . Medical complex patients.
Q. What is one of the diverse fast food that hopes that those present will leave in his Himss25 your session with it and be able to apply when they return to their institutions?
A. Our goal is for those present at Himss25 with a better understanding and even passion to ensure that there is an equal play field for service providers in rural and medically deprived societies. Whether the attendees are from an academic, medical, technological, or non -profit background, or from the public sector, we all have a role that we play in ensuring that the deprived societies get the resources necessary to participate in the health care revolution based on artificial intelligence.
In fact, the participation of these societies is necessary for our collective progress through training and testing new models and systems in environments that suffer from resource shortages. By increasing financing, partnership and cooperation, innovation will be accelerated for patients and service providers in each society.
A Stoll discussion session entitled “From Academic Medical Centers to Rural Health Care: Activate responsible artificial intelligence” on Tuesday 4 March from 2-3 pm in Himss25 in Las Vegas.
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