AI and robotics in healthcare is no more a part of science fiction. Instead, it has been acting as a self-sustaining engine reforming healthcare exceptionally. According to one of the studies conducted by Accenture, AI healthcare application development has the potential of contributing $150 billion to annual saving in the US healthcare economy by the year 2026.
Rendering smartness to simple machines, AI is shaping healthcare into an intelligent system while significantly reducing the time and putting it to better use with effective decision making. This overall fosters quick care facilities, early diagnosis, and genetic information data analysis to predispose someone to a particular disease, besides many more.
Let’s explore some of these breakthroughs lead by AI revolution in healthcare.
#1. Virtual Assistants to Assist Patients and Healthcare Practitioners
The increasing shortage of medical experts has majorly lead the growing demands for virtual assistance across the globe. This ratio of demand vs. availability has significantly posed great pressure upon the workers and affected the patient’s experience.
AI-powered virtual assistants are here to solve the issue. Their ability to enhance communication between care providers and consumers has drastically transformed consumer experience and physical burnout. Combined with the power of voice recognition technology, voice biometrics, EHP interactions, and many more, virtual assistants offer an all-new healthcare mechanism that allows physicians to treat better and patients to feel cared and content.
While the patients are waiting for physicians to turn up, these assistants carry out the initial conversations. Therefore, the practitioner and the patients have a better chance of in-depth and treatment-centric discussions later.
Simply put, virtual assistants not only do they share the load of the practitioners, but also help them offer better services and care.
#2. Conversational AI in Healthcare Powered by Chatbots
AI-powered chatbots have been gaining massive popularity across the world not only among the users but also among the brands. An Oracle’s study emphasizes that 80% of the brands aim to include chatbots in their business processes by the year 2020. Moreover, over 35% of the users prefer interacting with AI chatbots rather than human assistants.
Healthcare is no exception to this trend. Thanks to their ability to offer less turnaround time and automation to the initial communication, healthcare is expected to receive massive benefits from them in terms of cost savings.
Chatbots assist the patients through a set of questions wherein users choose the answers from a set of pre-defined choices. They, then decide the best-suited course of action for the same. With the power of machine learning, the chatbot experience will only get better with time.
The critical element of chatbot implementation in AI is the knowledge management system that stores common questions and answers. This will in turn aid the learning process of the chatbot.
#3. Robots for Explaining Lab Results
Explaining lab results to the patients is one of the most boring parts of a physician’s job. Most importantly, it consumes their time that they can contribute to critical aspects. However, AI-powered relieves doctors from this not-so-favorite part of the health processes. The platforms operate by making effective use of AI mobile apps along with natural language processing capabilities to explain lab results to users in a way that they can understand. Thus, while the patients have help readily available, physicians can focus on other important things.
#4. Robot-assisted Surgery
Robot-assisted procedures can fill in the gaps in the skills of physicians during the instances of new and complicated surgeries that have higher chances of affecting patient’s health and of course, the money involved. While microsurgical procedures require precision and accuracy, AI-powered robots can help physicians reduce variations influencing health and recovery.
With power technology, doctors can overcome challenges in the form of imprecisions and anomalies. The best part of this is the presence of machine learning that only further enhance the possibilities of critical insights and best practices.
#5. Constant Health Monitoring with AI and Wearables
Unless you have had a significant memory loss, there is no chance you missed out on the healthcare monitoring applications of AI. With a wide range of health monitors like Apple, Fitbit, Garmin, etc., users can now keep a check on critical aspects of their health including heart rates, activities and much more. The data is then transferred to highly-advanced AI supported systems to gain more insights and information comparing the current statistics to ideal requirements.
Being capable of detecting workout patterns, sending alerts in case of missed workout routines, these systems enable the user to record their habits and avail the data when the need be. Not only this, but they are also capable of raising the alarms in case of emergencies. For example, if a patient has already reached the upper limit of an activity, they’ll raise an alert asking the user to stop.
By driving innovation in the healthcare realm, Artificial intelligence has given a newer vision to the medical experts by enhancing the service delivery matrix with less turnaround time, and affordable patient care. It has also enabled the patients to remotely access best-in-class services while making sure that the diseases are identified well in time and treatments are done accordingly by bringing better healthcare at the tip of fingers. While the changes are pretty evident right now, the amalgamation is only expected to enhance with time incorporating novel concepts.