Many experts say that the evaluation of artificial intelligence techniques in sellers within the framework of artificial intelligence governance is decisive in the health care environment. The tools provided by the sellers should be safe, effective and moral to provide the best results for all patients.
As part of the governance structure, there should be an effective system to understand and evaluate the risks associated with artificial intelligence systems in clinical use. This approach determines four categories of risk and grades system for risk assessment in each category.
These categories are:
- Right and transparency
- Equity and fairness
- Integrated workflow
- Safety and privacy
By highlighting the risk areas, the healthy system can make more enlightened decisions on the tools needed for use, and the deployment of technology can develop the appropriate mitigations for tools or workflow.
Glenn Wason, UVA Health analyst, said that creating a strong governance framework to interact with sellers products will allow health care institutions to harness the benefits of commercial artificial intelligence systems while reducing risks and maintaining public confidence. He holds a PhD in computer science.
Wasson will address this topic in an educational session Himss25, entitled “An title” Dear artificial intelligence sellers: This is what we need. “
At UVA Health, Wasson is honored by the way the health system analyzes data for patient care and research. His responsibilities include data, analyzes, data science and data visualization.
In this role, it works on everything from predictive care at the top to modeling of population risks to hospital classification algorithms. It is especially interested in how to create problem -solving cultures.
We met Wasson to inspect the Himss25 session.
Q: What do hospitals and health systems need to understand artificial intelligence tools compared to previous programs?
A. Artificial intelligence is transmitted to each aspect of the Health Care Corporation today, and opens the door to potential improvements in everything from diagnoses, planning treatment to bills, resource management to research and drug discovery.
But artificial intelligence systems also carry new risks that are not present in the previous generations of programs. Organizations need to understand these risks, their effects and potential dilutions to effectively govern artificial intelligence within their institution.
to understand The risks and benefits of artificial intelligence systems It is a complex question. Provides organizations rarely enjoy access, frequency range and/or talents to conduct an analysis of the seller symbol.
Instead, this session discusses a dialogue between the providers and sellers who can highlight the sources of risk. The Dialogue box will require increasing transparency about data, algorithms and workflow, but sellers can also help develop the provider’s confidence in their tools.
Q: How will you focus on artificial intelligence in the Himss25 session?
A. This session revolves around artificial intelligence that comes in many differences, as artificial intelligence is the latest. Within health care, artificial intelligence is allowed to analyze evidence based on the previous human experience, to use in many different scenarios.
This diagnosis includes prediction, choice of treatment, personal medicine, employee scheduling, bed customization, supply chain operation, distance monitoring, improvements in bills and coding, cost reduction through efficiency, and many others.
In this session we want to discuss Various use of Amnesty International And the functioning of work that allows lack of intelligence and humans to cooperate in decision -making. We will discuss how to understand the procedures resulting from these decisions and risks associated with these procedures can build confidence that the artificial intelligence system will provide the required support safely and correctly.
Q: What is one of the various fast food that hopes that the attendees leave his Himss25 your session and be able to advance when they return to their organizations?
A. The attendees will leave with the understanding of the new aspects of assessing the artificial intelligence system that were not part of the evaluation of traditional technology. We will provide a frame for assessing the artificial intelligence system through a dialog box (a series of questions) between service providers and sellers to understand risks and dilution.
Questions will look at different sources of risks – data groups, workflow, etc. – and will require qualitative and quantitative answers.
Therefore, this dialogue box is not simply intended to discuss between artificial intelligence professionals – for example, data or statistics – but it must include leaders and operators who understand the intended publishing environment and workflow.
Finally, we will discuss how the nature of the dynamic learning of Amnesty International today means that this dialogue should be continuous.
Wason session, “Dear sellers of artificial intelligence: This is what we need”, is scheduled for Tuesday, 4 March, from 10: 15-15: 15 am in Himss25 in Las Vegas.
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Email him: bsiwicki@himss.org
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