A Flinders Research Team in Australia recently showed an evaluation framework supported by artificial intelligence to test the practical application of clinical intelligence tools.
The evaluation tool, called Progerviery_ai, is called Progiriver, a framework presented by the University of Flinders Institute in 2021, ensures that health care innovations are designed to meet the user needs and improve health results.
How to work
The evaluation framework that works on artificial intelligence focuses on adopting artificial intelligence tools, ease of use and their impact on the networks of people, technologies and processes. It merges user notes and predictive modeling to improve these technologies to meet the needs of users, improve health results, and enable sustainable practices.
The research team showed this framework in which artificial intelligence works in evaluating the artificial intelligence tool used in 12 emergency department across southern Australia, and helping doctors to diagnose heart cases quickly and precisely. they Results It has shown that the least experienced doctors, including population and trainees, have faced the challenges of using technology, unlike their most experienced peers. This, according to the study published in the International Medical Informatics Journal, highlights the importance of “specific training for the role, integration of workflow, and facade improvements to ensure the possibility of the tool and its effectiveness through various clinical roles.”
Since this first application, Prosperyser_ai has been used to improve human and machine reactions, while emphasizing ethical considerations associated with health care and assistance in treating privacy and moral responsibility in spreading artificial intelligence in high risk scenarios, such as emergency departments.
Late last year, a demonstration of the framework with CSIRO, the Scientific Research Agency in Australia, revealed that it can design the user interaction and predicting up to 95 %, allowing institutions to quickly adapt to the user’s needs and enhance results.
Progiriver_ai is now applied to a large project to implement non -pharmaceutical excitement management guidelines in the intensive care unit.
Why do it matter
“In order to understand whether the artificial intelligence systems are viable, we look at the ease of use, the extent of its adoption by doctors and nurses, and how they affect the care of patients. It is not only about making artificial intelligence showed the research Dr. Maria Alejandra Pinero de Plaza.
The biggest direction
Various frameworks, guidelines, guidance, recommendations, strategies and policies have been issued on the development, adoption and application of artificial intelligence in critical industries, including health care, during the past few years. This includes the ethics and governance of the World Health Organization in artificial intelligence for health, the law of artificial intelligence in the European Union, the principles of the Organization for Economic Cooperation and Development in the Organization of Economic Cooperation and Development, the principles of ethics 8 of artificial intelligence in Australia, and the framework of the form of the model in Singapore.
currently , American Food and Drug Administration It ends the marketing recommendations for its marketing for medical devices that operate in Amnesty International.
Last year, and National Institute for Standards and Technology The United States has released an open source to assess data risk of artificial intelligence models and machine learning models, including those in the field of health care. Hitrust Last year, it also presented its evaluation framework to alleviate the risks in spreading artificial intelligence.
