La artificial intelligence (AI) It has become a very useful tool that covers all areas of modern life, including medicine. However, despite the benefits it offers, its implementation in the health sector poses ethical challenges and raises concerns about patient trust in this technology. It is crucial to understand the context of the use of such technology in medicine; in particular, in the rehabilitation therapies. As well as addressing ethical issues to increase the Patient trust in AI.
Artificial intelligence in medicine, a context to increase patient confidence in AI
La AI in medicine refers to the use of machine learning models to search medical data and discover insights that improve health outcomes and patient experiences. The most common applications of AI in medical settings include support for decision-making clinical decisions and image analysis. These tools help doctors make decisions about treatments, medications, and patient needs, and are also used to analyze medical images for lesions or other findings.
Since when has AI been used in medicine?
In fact, the use of the artificial intelligence (AI) in medicine dates back several decades. But it has become more relevant in recent years due to the digital transformation associated with the COVID-19 pandemic. In the 1960s and 1970s, expert systems or systems based on logical rules emerged.
Then, the AI algorithm development in the 1980s. These algorithms enabled the automatic analysis of large amounts of medical data, which boosted the interpretation of medical images such as x-rays and magnetic resonance.
Subsequently, the IA expanded to the analysis of big data and precision medicine, enabling the development of prediction models and discoveries.
Do care robots generate more patient trust in AI?
El use of robots in medicine It begins around 1985, coinciding with the transformation of industrial robots into precision machines to assist doctors. However, with the Advances in AI, care robots They are increasingly autonomous and capable of complementing the skills of human doctors.
Currently, the care robots They have three main areas of application: Robot-assisted surgery, nursing and rehabilitation. These robots can perform a variety of automated services, from providing companionship and entertainment to carrying out assistance and rehabilitation measures. Even to the point of reminding patients to take their medication.
La IA It also plays an important role in facial recognition and in health monitoring and the activities of people in need of care. Although these units offer many advantages, they also pose challenges in terms of trust and acceptance by patients and health professionals.
Why is patient trust in AI still low?
Undoubtedly, the IA has the potential to improve healthcare, but there are also risks associated with its implementation in this field. World Health Organization has warned about the inappropriate use of AI, which can lead to misdiagnoses or wrong treatments. Therefore, it is essential that AI tools are developed following scientific and ethical parameters, and that decisions are always made by trained health professionals.
The lack of Patient trust in AI It is due to several reasons:
- Many patients have concerns about the privacy and security of their data.
- They fear that the IA make mistakes.
- They are afraid that robots will replace doctors.
In addition, there are also reasons why patients might trust in AI:
- The possibility of obtaining a more personalized attention.
- Have access to the healthcare The 24 hours of the day.
- Reduction of timeouts to be cared for.
Positions for and against
In this sense, some studies reveal the degree of confidence and reservations of doctors, patients and family members regarding use of AI. On the one hand, a good part of those surveyed feel more comfortable if the technology in question is limited to the administrative tasks, such as billing or scheduling patient care. But they would disagree if it took on more personal powers, such as diagnosis and treatment.
On the contrary, other people believe that the IA may play a greater role in the health sector. It is not surprising that younger adults and people with a education level the higher the ones who most agree with such an idea. Many of those surveyed expect that the IA reduce the number of errors in the healthcare and increase the accuracy of diagnoses. Still, most believe that the incorporation of AI will harm relationships between patients and providers.
How to increase patient trust levels in AI?
To increase the Patient trust in AI, the providers of AI tools and robotics for medical and therapeutic uses can take key steps:
- First of all, it is essential to inform patients about the benefits and limitations of AI transparently.
- They must also follow ethical guidelines and use AI responsibly and supported by scientific evidence.
- Privacy and data security They are also essential to increase the patient confidenceProviders must ensure that patient data is encrypted and stored securely, and that it can only be accessed by authorized personnel.
- In addition, educate patients about the use of AI and answering their questions can help build trust.
To increase the confidence of the general public in the AI products, factors such as representation, user feedback, ease of explanation and understanding, testability, communication and socialization must be taken into account. These aspects will help build initial trust and establish strong relationships between humans and AI.
In general, trust in AI at the health sector It is a personal decision for patients. Some patients may feel comfortable relying on the AI for your healthcare, while others may prefer the intervention of human physicians. It is important to respect individual preferences and ensure that the AI implementation is carried out in an ethical and transparent manner.
En Inrobics We strengthen trust in AI and robotics
En Inrobics We propose a disruptive rehabilitation model, using Artificial Intelligence y social robots. Thanks to it, we have helped many people with functional or neurological limitations to improve their quality of life. Proof of this is our system that combines both technologies and has been successfully tested in collective and individual therapiesAlong these lines, our algorithms capture patient knowledge, which allows for fully personalized sessions. That is, sessions adapted to the physical and cognitive conditions of the person.
Furthermore, the robot is able to recognize the person and create narratives based on their preferences. As if that were not enough, we objectively monitor and measure the degree of movement of the user's joints. This allows us to obtain accurate, objective and reliable data, with which we generate reports for family members and therapists about the individual's condition and progress. All of these conditions drive the Patient trust in AI and in the robotics for therapies. Contact us and request a free demo!
