Healthcare must be digitalized to ensure the best patient care. AI and Blockchain must be integrated into existing healthcare systems to improve efficiency. These technologies will only work if all of our processes are digitalized first. Enter AI voice generator and text to speech.
The digitization of healthcare can lead to new insights, accelerate research, and increase innovation in this field. Digitization improves efficiency for all stakeholders, but especially for the 3Ps of healthcare – the Patient, the Provider (the doctors), and the Payer (the insurers). Data is the fuel that will power all of this innovation.
AI-powered engines can perform voice recognition, also known as speech recognition or text to speech systems. They can easily convert speech into text and text into spoken language. It is possible to use inputs converted into digital text for many purposes.
Voice AI and its Potential Uses
Healthcare bots are widely available on the market. They can provide guidance, perform symptom evaluations and connect patients with relevant healthcare services. AI-powered bots can also help with mental health and emotional stress.
These “virtual beings” can have text-based conversations with patients about various health issues to provide timely guidance. Unfortunately, many people living in developing countries do not have access to such bots because they lack language fluency or are unable to read and write. AI voice could revolutionize patient care in this situation.
Patients can speak directly to the virtual assistant to share their pain. The agent can also use speech synthesis to respond with voice-based responses. AI systems can learn to interpret different “tones” or “moods” of a user’s voice. This aspect allows AI to be accessible to all.
Artificial intelligence systems can be trained to recognize emotions in the same way humans can tell if someone is happy or sad by their voice tone. They can even be more efficient than human beings in certain situations.
A person’s voice can tell a lot about their health, well-being, and emotional state. AI systems can efficiently identify, triage and analyze patients and guide them.
Telemedicine and Appointment Bookings
Apps for booking appointments are commonplace, especially since the COVID-19 pandemic. Many still face the same language and reading constraints in various parts of the world.
Voice-based assistants can help patients understand what they need and how to use these solutions.
Health Assistants
Health assistants are software solutions that aid patients in managing their treatment.
All types of health assistants are employed in healthcare. They can remind patients to take their medication or track vital information like blood pressure and blood sugar. AI voice systems can serve as a more effective guide.
Virtual Assistants for Doctors
Doctors will have more interactions with assistants and bots in the future. A single doctor cannot manage many patients.
A ‘Jarvis-like assistant’ can be a great help. These technologies can be used as a virtual PA and will work mainly on speech recognition systems.
Voice analysis can be used to diagnose many health conditions. Many laryngeal disorders, such as those affecting the vocal cords, can be divided into high-risk or low-risk profiles based on different features of the voice.
AI voice systems that can listen to a patient’s voice and determine if they have a benign or malignant larynx (voicebox) are currently in development. This aspect is based on a variety of parameters. These systems are easy to scale and can increase access to primary care services in a big way.
Challenges
Despite the potential of AI voice, many risks and challenges are also involved. It isn’t easy to gather the necessary data to train AI models for these tasks.
AI is sensitive to what data you use. Moreover, these systems may be unable to understand certain languages, accents, and tones in the early days.
Conclusion
Voice AI was estimated at USD 10.70 billion in 2020. It is anticipated to grow to USD 27.155 billion by 2026 at a CAGR of 16.8% for the 2021-2026 forecast period.
The potential use of AI voice in healthcare can comprise a wide range of tasks, ranging from easy to complicated. The developments in voice technology and AI will determine how extensive its proliferation will be in the coming years.
