{"id":908449,"date":"2018-08-14T13:39:17","date_gmt":"2018-08-14T20:39:17","guid":{"rendered":"http:\/\/customerthink.com\/?p=908449"},"modified":"2018-08-14T13:39:17","modified_gmt":"2018-08-14T20:39:17","slug":"how-is-ai-transforming-the-future-of-the-healthcare-industry","status":"publish","type":"post","link":"https:\/\/customerthink.com\/how-is-ai-transforming-the-future-of-the-healthcare-industry\/","title":{"rendered":"How is AI transforming the future of the Healthcare industry?"},"content":{"rendered":"
Over the last 10 years, we have come to see robots perform and execute jobs that were once exclusive to humans \u2013 be it, manufacturing cars or filling warehouse orders.<\/p>\n
As of today, we are no strangers to the fact that there are multiple industries that AI\/ML have significantly impacted over the last couple years. However, the integration of Artificial Intelligence in Healthcare with a chatbot as your doctor is set to witness a significant paradigm shift.<\/p>\n
We are already seeing image recognition algorithms assist in detecting diseases<\/a> at an astounding rate and are only beginning to scratch the surface. Chatbots are slowly being adopted within healthcare, albeit being in their nascent stage. Grand View Research stipulates that the global chatbot market is estimated to touch at least $1.23 billion by 2025<\/a> which reflects a compounded annual growth rate (CAGR) of 24.3%.<\/p>\n Interestingly, one the first chatbots to be developed was ELIZA who happened to be a psychotherapist. Developed back in 1966, she was a computer program that simulated an actual therapy conversation to the extent that people actually believed that it was a human at the other end.<\/p>\n Here\u2019s a snippet of the conversation with ELIZA –<\/p>\n <\/p>\n The doctor-patient relationship has not changed over the years. As a patient, if you feel something is off, you go to the clinic and talk about the problem(s) you are facing. The doctor checks your vitals, scrutinizes a bit, offer a diagnosis and prescribes the relevant medication.<\/p>\n How does a conversational AI\/chatbot come into the picture?<\/strong><\/p>\n There are a myriad of health related queries and questions that honestly do not need the attention and time of a physician. There are times where the doctors are busy, and patients often take an appointment for an illness that would have passed with little rest, or in some cases where patients tend to fail in following up or following thorough the treatments once they leave the clinic. No matter how redundant, some questions can\u2019t be left unanswered as well as they may result in concerned people feeling nervous and clueless.<\/p>\n Imagine parents with a new born baby. They have absolutely no experience. They will hound doctors with questions on their child\u2019s well being. Whether it is the baby\u2019s temperature, sleeping routine, vaccinations etc. Multiply this with 10 new parents asking the same set of questions to one doctor day after day. These are all relevant and important questions, but they do not need a response from a doctor. So what is the solution here? A health chatbot which is constantly supported and gradually taught by doctors.<\/p>\n An intelligent chatbot<\/a> can guide the concerned parents or patients by understanding and assessing the symptoms that the patient is experiencing and identify the care that they need. With the help of a medical chatbot, patients can receive immediate assistance at the touch of their fingertips.<\/p>\n Chatbots can also engage patients and improve patient experience\u200a\u2014\u200awithout the need for a customer support team or a physician on the other end.<\/p>\n Additionally, they can also assist with setting up an appointment with the doctor at the right time based on the doctor\u2019s schedule and hours.<\/p>\n Here\u2019s how a conversation with a chatbot may go like \u2014<\/p>\n Patient:<\/strong> Hello<\/p>\n Chatbot:<\/strong> Hey Jeff! What can I do for you today?<\/p>\n Patient:<\/strong> I\u2019m running a temperature and getting the chills.<\/p>\n Chatbot:<\/strong> I\u2019m sorry to hear that. The data from your smart band shows a temperature of 101 F with a regular pulse. How long have you been getting the chills?<\/p>\n Patient:<\/strong> Since last night.<\/p>\n Chatbot:<\/strong> I recommend you see your GP Dr. Susan. I\u2019ll go ahead and schedule an appointment.<\/p>\n Chatbot:<\/strong> Hi Sam! How are you feeling today?<\/p>\n Patient:<\/strong> I have been feeling dizzy for the last hour.<\/p>\n Chatbot:<\/strong> Oh! Are you running a temperature?<\/p>\n Patient:<\/strong> Yes, 39*.<\/p>\n Chatbot:<\/strong> I see. You might be running a fever. The doctor is available after 6 PM today. Would you like me to book an appointment for you?<\/p>\n Patient:<\/strong> Yes, please!<\/p>\n Chatbot:<\/strong> Done! I have fixed your appointment.<\/p>\n As of now, use cases for healthcare chatbots include:<\/p>\n The primary use case of a chatbot as your doctor is to free-up a doctor\u2019s time by cutting down or eliminating unnecessary appointments. Given the sky-rocketing operational costs, healthcare organizations are always looking for ways to keep them down while simultaneously improving the patient experience.<\/p>\n Apart from saving time, these intelligent chatbots can also execute tasks related to billing, stock, and insurance claims management as well.<\/p>\n How will a healthcare chatbot work?<\/strong><\/p>\n On four different structures namely \u2013<\/p>\n Natural language processing is used to assess and understand a patient\u2019s queries and is closely followed by knowledge management when it comes to providing an answer. Deep learning assists the healthcare chatbot in improving the for each interaction while sentiment analysis identifies the user\u2019s frustration and hands over the conversation to a human.<\/p>\n With time, deep learning will help the healthcare bot in ameliorating the responses for every single interaction and also generate context-based replies through Natural Language Generation<\/a>.<\/p>\n This way, a chatbot would be a better fit when it comes to patient engagement as compared to a standalone mobile application.<\/p>\n\nScheduling doctor appointments based on complexity of a patient\u2019s symptoms
\nMonitoring a patient\u2019s health status and notifying a nurse immediately if the parameters are out of control
\nAssisting homecare assistants by keeping them informed about their patients<\/ol>\n\nNatural Language Processing<\/a>
\nKnowledge Management
\nDeep Learning
\nSentiment Analysis<\/ol>\n