Artificial Intelligence (AI) is (also and above all) a revolution in the field of health. In fact, the number of AI applications in medicine and healthcare in general is increasing and provides significant advantages to professionals and patients alike.
One of the main areas of application of AI in healthcare is to improve the patient experience. However, enabling AI also poses significant ethical challenges.
In this article, we will explore issues related to enabling AI in healthcare, as well as its impact on the patient experience itself. We will also discuss future prospects and issues in terms of regulations and … ethics.
Artificial intelligence, autonomy and health
AI Self-Health is a concept that generates excitement and anxiety. Autonomous AI refers to artificial intelligence systems that can make decisions (almost) without human intervention.
In healthcare, this can mean using algorithms to diagnose and treat patients. It is necessary to note that its autonomy will never be complete, at any rate in 10 years, because the physician will always need to validate or adapt said findings. The human claw remains the key.
The benefits of autonomous AI in healthcare are numerous: it can reduce diagnostic errors, improve the efficiency of care and speed up medical interventions. Discover the business of Augmedix, founded by Sandra Breber.
However, autonomous AI also raises important ethical issues, particularly regarding accountability and transparency in the decisions made by algorithms.
The issue of relying on “independent decision” is Also decisivemainly because it has a direct impact on the patient experience.
Keep in mind that like any AI, it has a step Deep learning is necessary to “learn” and “improve” algorithms. It obviously saves time (read this case from Breast cancer detection – Collaboration between Institut Curie and Ibex Medical Analytics).
The impact of artificial intelligence on the patient experience
The integration of AI in health is having a significant impact on the patient experience. First, AI enables many improvements in the patient care pathway.
It enables better personalization of treatments through analysis of medical and genetic data, which can lead to more accurate diagnoses and more effective treatment plans. The work of Corti, founded by Andreas Cleve, is very interesting.
In addition, AI facilitates access to medical information, the real bedrock, by providing online diagnostic tools and personalized medical advice. However, it is important to recognize the risks and limitations of AI in the patient experience.
These risks include, in particular, the confidentiality and security of health data, as well as the possibility of algorithmic bias. In this sense, the enduring topic of medical data security is the real cornerstone.
Artificial intelligence can detect the presence of cancer. But identification is not the only advantage: AI can determine the stage of a tumor with excellent accuracy.
Thus, artificial intelligence makes it possible to detect cancer from a series of images. This is the case of the Alercell entity that founded it Frederick Sher. Not only does DNA screening detect cancer or leukemia, it also helps guide treatment and monitor recurrence.
Despite these challenges, AI also offers tangible opportunities to improve the patient experience. For example, AI-powered chatbots can answer patients’ questions and guide them through their care journey. This immediate response has a very positive effect in reassuring the patient (quick and accurate response). Note action Bots4Health is created by Christina Santamarina (look here).
Similarly, AI can be used to predict medical complications and thus prevent health problems before they arise (See the INSERM study). These examples show how AI can contribute to a more personalized, efficient and proactive patient experience.
Artificial intelligence and health: future prospects
It is clear that the outlook for the future is promising and opens up new opportunities. Future technological developments in this field are likely to enhance the impact of AI on the patient experience. But where will the indicator be placed?
For example, the development of machine learning and deep neural networks (deep learning) will improve diagnostic accuracy (severity and stage) and personalized treatments.
Also, the use of AI in the areas of preventive medicine and continuous patient monitoring can lead to earlier detection of disease and more effective management of chronic health conditions.
However, for a better integration of AI into the highly private field of health, challenges must be overcome. There is a need to develop strong security standards and protocols to protect patient health data and ensure privacy.
Additionally, regulations and ethics are critical issues. It is necessary to put in place appropriate regulatory frameworks to oversee the use of AI in health and to avoid abuses. Note theWHO opinion At this point by the doctor Dr.. Tedros Adhanom Ghebreyesus.
Finally, it is critical to address ethical issues related to independent AI decision-making, as well as potential algorithmic biases.
In short, the future of AI in healthcare is bright, but it requires a thoughtful, ethical approach to maximizing its benefits while minimizing risks.
