Healthy
Whether artificial intelligence (AI) will play a role in healthcare delivery and diagnosis is no longer a question. Rather, the question is how to ethically deploy technology to fill this role, and what guidelines should be developed today to support upstream thinking about the challenges that will arise tomorrow.
Artificial intelligence still feels a bit like the “Wild West,” with limited and fragmented policies and laws governing the use of technology, especially in the healthcare sector. However, before the curve, The World Health Organization (WHO) is already pushing leaders to consider ethical responsibilities and dilemmas Integrate artificial intelligence more into nursing, and raise questions about maintaining human autonomy, ensuring transparency, and establishing inclusiveness and fairness—— Just to name a few!
Although this is a daunting task, management agencies and leaders need to fulfill this responsibility. The Covid-19 pandemic has taught us many things, including although innovation is easy to deploy— At the peak of the pandemic, the use of telemedicine is high. However, because too much use happens too quickly, It is during the peak usage period that patients and providers find themselves facing barriers to high-quality careToday, we have the opportunity to walk before the potholes and pave the way for a cleaner and leaner path that will work with artificial intelligence instead of opposing artificial intelligence-improving the healthcare experience for patients and providers, etc. . We can start with the three core principles that guide AI, as shown below.
Let human beings be the core of health decision-making
It is only a matter of time before artificial intelligence becomes the core of everything we do in healthcare and other fields. AI is a very intelligent “machine” that can make decisions that can significantly improve patient care and save time and cost; but this does not mean that artificial intelligence should be empowered to do so, or have the power to make final decisions . Despite the accuracy and ease of use of integrated AI, people (doctors, patients, etc.) should visit and supervise activities in every step of the care continuum. We should definitely use AI to provide information, because it provides a lot of valuable data that can be extracted and quickly disseminated, but before making predictions, we should set a lock that requires manual input.
Electronic Health Record (EHR) is a good example of using AI-driven predictive tools to help providers streamline workflow, medical decision-making, and the evolution of treatment plans. However, the provider (person) must always be at the core of the process, pulling the lever to unlock the next step of care and treatment planning.
Maintain the highest standards of healthy technology
There are countless artificial intelligence devices and services available today, many of which are not Compliant with HIPAA Or FDA approved. This does not mean that the technology is not safe or practical, but if we return to the theme of the “Wild West”, it does indicate that a certain degree of scrutiny should be done when determining which AI technology to use in practice; and The weight of the data should be given when making a decision. Similar to the standards required for any diagnostic tool or healthcare device, artificial intelligence tools should be tested and proven their accuracy. This means publishing and recording enough information before deploying the technology to allow meaningful public consultation and debate on how the technology is designed and how it should or should not be used.
Ensure inclusiveness and fairness
Artificial intelligence tools and systems must be monitored and evaluated to determine the disproportionate impact on specific populations. No technology, artificial intelligence or other technologies should maintain or worsen existing forms of prejudice and discrimination.
When developing and deploying artificial intelligence technology, it is important to keep in mind the differences in skin colors, gender names, and other human characteristics to ensure that healthcare providers provide consistent and accurate care.one learn In the three commercial gender recognition systems, dark-skinned women reported an error rate of 34%—almost 49 times that of white men.
Health AI must aim to encourage the widest possible, appropriate and fair use and access to care, regardless of age, gender, gender, income, race, ethnicity, sexual orientation, ability, or other characteristics protected by human rights law. This also means achieving health equity, providing the highest access to care and eliminating the requirement for long-distance travel, or purchasing a large number of products and services to benefit from the care that artificial intelligence can provide. Any form of prejudice can threaten inclusiveness and fairness, endanger standardized care, and even endanger lives.
Healthcare has evolved with the adoption of artificial intelligence, and so should our ethics manual. As we continue to utilize this incredible technology in one of the most sensitive areas-healthcare, we will encounter countless potential obstacles. However, there is no turning back, and we should not look back either. Artificial intelligence has great potential to improve our healthcare system and patient experience, but before we continue our journey, we must set the rules of the road now.
Photo: mrspopman, Getty Images
