Artificial intelligence is rapidly transforming healthcare with real use cases documented daily using applications for everything from screening, imaging, diagnostics, risk assessment, intervention, planning and delivering therapy, patient adherence, advancing patient care, improving outcomes, lowering cost, to furthering medical research.
Artificial intelligence without an emotional element can be socially inept and behaviourally weird. Stories in media about the lack of empathy in patient-care underscore an emerging narrative about technology and service-based businesses and the need for emotional intelligence. Voice is not only ubiquitous, it’s highly personal and very hard to fake; it can deliver valuable information like ‘how I feel’ or ‘I am in pain’… anxiety, stress, sadness, joy, and much more with emotion and behavioral recognition from voice.
Patients have started to speak to digital voice assistants in hospitals, in their homes, on their mobile. While automation, like text-based bots, interactive virtual assistants or home robots, are great for simple answers and tasks, when the stakes are high — patient anxiety, stress — emotional interaction must be the first option. Discover how our Oliver Emotion AI engine can deliver emotional intelligence to any speech-enabled application. Ask us today how your technology solution can evolve to incorporate the benefits of Emotion AI.
73% of users say if voice assistants could understand them properly and respond as well as a human can, they’d use them all the time. — AI in Healthcare, 2017, PWC
John Simmons, a 72 year old Construction Foreman, now in retirement, is battling with heart congestion and needs to follow a strict healthcare regimen. He has been assigned a social robot, with interactive capabilities, to help him with his medication. The robot can been designed to interact through speech, understand and analyze how the patient feels, and respond accordingly showing emotional intelligence. The robot tries to help the patient overcome his resistance to medication, feeling of loneliness, and lack of self-care by offering alternatives, engaging with family, and using humor to deflect sarcasm and negativity.
Watch the video demo above to discover the full potential of engaging with your users with the aid of emotional intelligence. Robot by TEMI.
The Oliver Emotion AI engine brings together human and machine with the behavioral component of ‘caring’ that’s missing from the healthcare industry. Patients can now enjoy intelligent emotional support whether following their daily routine, or medication and exercise regime, all while interacting through a natural conversation experience. Oliver can provide emotional and mental support by understanding how people feel and predicting how they will behave. Our Oliver Emotion AI engine is perfect for partners such as healthcare providers, voice assistants, chatbots, robotic virtual assistants, social healthcare robotics and mobile voice assistants.
Our award-winning and patented technology combines natural language understanding (NLP) and artificial intelligence (AI) technologies to identify the users’ emotions and behavior and provide feedback based on emotional intelligence and understanding of the patient’s real needs. Our Oliver API/SDK can ‘read’ the patients’ behaviors and react in a manner relevant to each patient, and each individual emotion. It adapts dynamically and continuously learns from previous interactions making the patient feel their emotions are being heard and that they have greater control over decisions and actions affecting their health.
Building a healthcare application with voice? How about adding Emotion AI to your offering? Register for the Oliver API now or ask us how we can integrate our technology in your offering.
39% of people surveyed are willing to engage with AI/Robotics for healthcare. — AI in Healthcare, 2017, PWC
Behavioral Signals’ Oliver API/SDK platform can offer to potential partners:
– Configuration to match the partner’s use cases, processes, and scenarios
– Behavioral prediction to maximize treatment results, ie motivate patients to take their pills on time or move in order to exercise their body, influence them to change their negative mood
– Easy connection to partners’ information systems, ie, systems that manage patients’ health information and records
– Potential integration with third-party systems such as voice assistants and robots