AI-supported applications are already being used in a variety of ways in clinics, hospitals, and doctors’ offices – from automated medical documentation and image-based diagnostics to personalized therapy planning and early detection of diseases. These technological advances enable more efficient workflows, contribute to optimized resource utilization, and improve patient care. In order to realize the full potential of artificial intelligence in healthcare, the acceptance and perception of medical professionals and healthcare providers, as well as that of patients and their trust, are crucial. This will determine how quickly and profoundly artificial intelligence will revolutionize healthcare.
For companies such as Voicepoint, which offer AI-based solutions for clinics, hospitals, and medical practices, this results in a central responsibility that not only requires technical performance and integration capabilities, but also ensures transparency, security, and clear added value for all parties involved.
General attitude of patients toward the use of AI in healthcare
In principle, patients have a positive attitude toward the use of AI in medicine, provided that certain conditions are met. This was shown in a comprehensive international study by Busch et al. (2025), which examined the attitudes of hospital patients toward AI in healthcare and diagnostics. Around 58% of 13,806 patients surveyed from 74 institutions in 43 countries rated the use of AI in medicine as predominantly positive. They also stated that AI is perceived in particular as a supportive tool that increases accuracy and saves time. At the same time, it is clear that artificial intelligence is not viewed as a tool that can act autonomously, but rather as something that should be continuously monitored and evaluated by experts.
Similar findings are provided in an article in «The International Journal of Medical Informatics», written by Bashkin Osnat (2025), which analyzed patient perspectives on AI in healthcare based on 38 studies from 18 countries. It found that over 75% of patients perceive benefits such as improved diagnostic accuracy, particularly in imaging, greater efficiency, time savings, and personalized care. Relevant factors influencing acceptance include age, education, digital literacy, and health status, with younger and tech-savvy individuals being more open to AI in medicine.
On the other hand, the public also expresses concerns about the implementation of AI in healthcare, for example with regard to the loss of human interaction, reliability, data security, transparency, patient autonomy, and loss of trust in doctors who use AI. However, these concerns can be alleviated through transparent communication, ensuring data security, and obtaining patient consent.
Perception of AI during consultations
With the specific application of AI in consultations, such as Voicepoint Xenon® Fusion, the conversation during a consultation is recorded, transcribed, and then automatically summarized. Patients perceive it as very positive that doctors can concentrate fully on their concerns during the consultation. Findings from various studies by Bashkin Osnat (2025) and Foresman et al. (2025), which examined patients’ perspectives on the use of AI in healthcare, diagnostic communication, and tool implementation, reflect these experiences. The studies also emphasize that the introduction of AI-supported voice-to-text technologies can strengthen trust in doctor-patient interactions and increase effectiveness, efficiency, and patient-centeredness in outpatient settings through faster documentation.
Conclusion: Opportunities and recommendations for patient-centered implementation
In summary, there is growing acceptance of AI-based speech recognition, especially for documenting consultations, as long as transparency and data security are guaranteed. When it comes to data security, it is particularly important to choose the right provider: Voicepoint, the long-standing Swiss market leader in the field of speech-based medical documentation, has achieved the three most important certifications in this field as a unique selling point: ISO 27001 (information security), ISO 27701 (data protection), and ISO 27018 (personal information (PII) in the cloud).
The Voicepoint Xenon® solution platform was developed according to the “Privacy by Design” principle, whereby data protection is firmly anchored in the architectural foundation and runs through all use cases of the cloud solution: whether in digital dictation, speech recognition, or AI-based consultation summaries – and this applies to use on smartphones, Windows desktops, or macOS computers.
Only when high data protection standards are met can trust and acceptance be built and the full potential of AI in everyday clinical practice be exploited – both for medical professionals and patients.