Global healthcare is undergoing a personalization crisis. Overwhelmingly, there is a disconnect between what patients expect from their healthcare providers and what is actually provided. Public healthcare systems are under enormous strain to provide quality service. At the same time, resources are being slashed, while aging patients’ healthcare needs are becoming increasingly more complex.
Primary-care doctors spread too thinly
A study carried out by Cambridge University and published in BMJ Open found that the average appointment time of UK patients with GPs is only 9.22 minutes. In Lithuania, Belgium, Portugal, Luxembourg, Iceland, Cyprus, and Peru, patients enjoy 15-minute consultations. In contrast, the average appointment ranged from 48 seconds in Bangladesh to 22.5 minutes in Sweden.
With these growing needs, there is an increasing shortage of healthcare resources globally. As a result, patients are being denied personalized healthcare experiences that meet their specific needs and cater to their personality, lifestyle, and medical history.
Patients are really feeling the pinch. They would like to be heard and that their concerns will be taken seriously. They want tailored treatment plans that fit their individual healthcare needs and lifestyle. They want doctors who do not rush through an appointment, who listen and show they care, and who clearly explain what the patient needs to do next. Unfortunately, many doctors are spread so thinly, and their time is so severely limited that adequate treatment quality is nearly impossible.
Telehealth solutions are a growing trend that is spurring more personalized care for patients by integrating AI-powered technologies. Patients are empowered to take the lead when it comes to their own health and decision-making. At the same time, telehealth frees up doctors to give the personal care people want and need.
One of the more dramatic impacts that have shifted the conversation about personalized healthcare is INFI’s EmpathAI™. Powered by a humanlike, empathic avatar that integrates AI with validated psychological insights. It also acts as a conversational conduit with patients. This enables the understanding of precise traits, internal motivators, and real-time emotional states of each individual patient. With these insights, medical providers understand how to speak to each patient. As a result, patients will be more motivated to improve their adherence and can hyper-tailor treatment-related recommendations. Additionally, they can realize from real-time monitoring of psychological states the exact emotional and lifestyle issues that may be impeding recovery.
Machine learning, over time, will continue to empower medical providers, helping them improve the effectiveness of any interaction among medical staff and patients. Care providers will get to know their patients’ personalities and lifestyles. They will be able to provide more accurate and truly personalized care.