Virtual medical and behavioral healthcare provider MDLive has made it easier for patients to access telehealth services with the introduction of Sophie, a digital personal health assistant. An artificial intelligence-based chatbot that is part of MDLive's platform, Sophie guides patients through the registration process by first asking a series of questions to open an MDLive account. Next, Sophie walks patients through the steps to download the MDLive app. Once downloaded, the MDLive app helps patients determine whether scheduling a virtual or in-person visit with a healthcare professional is necessary.
Ada, a London and Berlin-based health tech startup, sees its official U.K. push today, and in doing so joins a number of other European startups attempting to market something akin to an AI-powered'doctor'. The company's mobile offering bills itself as a "personal health companion and telemedicine app" and via a conversational interface is designed to help you work out what symptoms you have and offer you information on what might be the cause. If needed, it then offers you a follow up remote consultation with a real doctor over text. In a call, two of Ada's founders -- CEO Daniel Nathrath and Chief Medical Officer Dr Claire Novorol -- explained that the app has been six years in the making, and actually started life out as being doctor-facing, helping clinicians to make better decisions. The same database and smart backend is now being offered to consumers to access, albeit with a much more consumer-friendly front-end.
There are quite a few telemedicine startups to choose from these days including Doctor on Demand, HealthTap and even some of the older, more established companies like MDLive or American Well but Remedy is a new one we've just been turned onto promising high-quality doctors at a lower cost per visit with the use of what it refers to as artificial intelligence to help diagnose what ails you. Telemedicine is fast adopting the use of A.I. as an umbrella term in over-the-phone medical help. HealthTap just announced the launch of "Dr. AI," its own version of a smart search algorithm, and Remedy falls into this same category. But much of what is so-called artificial intelligence really depends on how you label what you consider AI.
Long-term health monitoring is becoming increasingly important with the rising prevalence of chronic disease in the U.S. While many researchers are investigating the use of remote biological monitoring and telemedicine technologies, the use of frequent self-report in long-term health monitoring remains a relatively unstudied area. We discuss some of the many cognitive, affective and contextual issues that must be addressed in maintaining a long-term stream of quality data from patients at home or in the field, and how many of these issues can be addressed through the use of conversational agents.
There are many situations in which patients require urgent treatment that cannot be provided locally from physicians, such as casualties in a battlefield environment. In such situations, patients are often in emergency condition and time is a critical factor for them. We propose a treatment protocol delivery system for telemedicine that can help solve such problems by providing medics or Emergency Medical Technicians (EMTs) with therapeutic plans for patient along with remote c nsultation from specialized physicians at the base hospital. The Treatment Protocol System is designed to provide treatment pluns that can be tailored for specific patients when access is provided to the patient's medical record or to information from patientmonitoring equipment. With recent mobile telecommunication technology such information can be exchanged in real-time between the base site and the remote site (Pavlopoulos et al. 1998). The Treatment Protocol System is designed to work in both wireless and face-to-face environments. Our Treatment Protocol System is influenced by the treatment protocol system produced by Tsai (1990) for the MEDAS project (Trace et al. 1990).