Real-time exit planning
After patient discharge, it is usually difficult to provide consistent patient care.
With VA, clinicians can continue to manage patients' health by monitoring symptoms in real time, providing educational and medical information, answering questions about care plans, and helping them transition smoothly into self-care.
Ease of making an appointment
By integrating AI-based voice assistants into their system, healthcare facilities can facilitate appointment booking and bed allocation. Digital assistants are particularly useful for patients facing language difficulties and help them manage their appointments.
Improve patient comfort
With voice-activated systems, patients do not need to get out of their hospital bed to operate the television, lights, window coverings or call nurses. By providing patients with hands-free comfort, voice-activated assistants ensure patient comfort and safety are a top priority.
Patients, especially older adults, may not be able to accurately express their symptoms or remember when their problems began. Through a voice-controlled system running on robust AI software, doctors will be able to provide reliable treatment by matching their symptoms with relevant conditions.
Understanding the human voice to assess health
Speech contains a wealth of health care information that is leveraged by the health care system.
Recent research validates that our voice can be used to assess the state of our health. Similar to biomarkers such as pulse, heart rate, blood pressure, etc., our voice, with its pitch, tone, stress intensity, coordination, tremors, shivers, etc., can provide understanding in depth about our health.
Conversational AICare-based voice technology can transform the quality of care by integrating acoustic features into their software. Using these acoustic features, voice assistants can detect changes in voice characteristics to predict conditions such as heart disease, dementia, anxiety, stress, depression, emotional distress, concussions and more Again.
Developing a reliable and advanced voice assistant app requires a lot of information and intelligent AI-powered software. It also depends on the training of the ML and Natural language processing system for understanding human speech, interactions, nuances and conversations. The system must also be trained to analyze voice sentiments to diagnose medical problems.
The quality of AI-Voice Health care assistants depends mainly on the quality of the training, and Shaip provides you with a robust and dynamic training database. With this quality data set, you can develop useful, reliable, and impactful voice assistants to improve the healthcare experience for patients and clinicians.