| | August 20199When done in the right way, AI can boost employment, economic growth, and business profitabilityWhy AI is Crucial in Healthcare?Research estimates that hospital errors are the third leading cause of death, underscoring the need for patients to protect themselves and their families from harm, and for hospitals to make patient safety a priority. This can be significantly addressed and prevented by AI. Also, 86 percent of mistakes in the healthcare industry are purely ad-ministrative and are preventable. AI which was once considered a threat in the medical community, is not so any-more. In fact, there has been a rapid increase in capital investment in com-panies developing machine learning solutions for medical imaging. Contribution in Healthcare Communication & Medical Dosage Error ReductionHealthcare industry's communication problem can be addressed easily & quickly by AI, and serious develop-ments are expected to be seen sooner. Statistics reveal that 80 percent of seri-ous medical errors are due to miscom-munication. Be it patient-physician communication, or communication between different healthcare organs, the risk of medical errors remains at large. Likewise, medication and dos-age errors are also another leading cause of death or serious injury in the healthcare industry. As per research by Accenture, effective application of AI to medical dosage error reduc-tion can result in a savings of $16 billion for the healthcare industry by 2016. So this means, we are not just talking about creation of new robotics and technology shaping personalized healthcare services, but also taking-up actions which are critical to decision making and facilitating better care for patients. AI-Powered Chatbots: Chatbots shall be responsible for saving $8 billion per annum of costs by 2022 for Retail, e-Commerce, Banking, and most importantly Healthcare. AI-powered bots can help physicians in healthcare diagnosis through a se-ries of questions, where users select their answers from a pre-defined set of choices and are then recommended a course of action accordingly.Robots for Explaining Lab Re-sults: It takes-up the job of explaining lab results. The technology relieves doctors from explaining the lab results to the patients, allowing them to focus on the more critical aspects.Robot-Assisted Surgery: AI as-sistance can help physicians to help reduce variations that could affect patient health and recovery in the longer term.Personal Health Companions Powered by AI: Personalized medical assistance to track the patient's health and provides insights & understand-ing to the patient for any changes in their health.Detection of Cancer: One of the current applications of deep learning in healthcare is the detection of cancer from gene expression data.AI in Pathology: AI-powered solutions can assist pathologists, streamlining their efforts and improv-ing the accuracy in decision making.Rare Diseases Detection with AI: AI to assist health providers to detect diseases, especially such as Facial rec-ognition software which is combined with machine learning to detect pat-terns in facial expressions and learn about any possible rare diseases.Medication Management: AI applications enabling autonomous confirmation that a patient is regularly consuming the prescribed medication.Health Monitoring with AI & Wearables: To detect workout pat-terns and send alerts if the routine is missed.Overview of AI in HealthcareApplications of AI in Healthcare pri-marily revolves around these factors such as making healthcare providers efficient and productive, providing a far more streamlined and robust experi-ence to in-patients and out-patients and making back-end processes effective and organized. Thus, when done in the right way, AI can boost employment, economic growth, and business profit-ability, according to Accenture.
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