Chatbots in the healthcare field are providing patient assistance and care. AI-powered medical assistant can book appointment, monitor a patient health status and perform other time-intensive responsibilities such as inventory, billing and claims management . There are three key limitations: 1)Explainability 2)Datarequirement 3)Transferability STATEMENT: To be able to enter a prescription with structured data in a software system, within a comparable time to hand written prescription. IDEA: 1) Automation of handwritten and digital prescriptions to reduce entry time. 2) Improve the effectiveness of customer service terms. 3) Reduce the potential for human error. 4)Collect candid and meaningful customer feedback. 5) Guide customers along the path to purchase. 6) Build stronger customer relationships
Chatbots reside in the most commonly used apps in the form of assistants on various websites where they can converse with the users. With advanced machine learning algorithms and natural language processing methods enabled , these chatbots can create maps linking symptoms and diseases. Chatbots in the industry for medical care ,ask some standard questions and help create a profile based on age ,sex, and medical history . They can record the users history and analyze symptoms based on users inputs. They can also use image and voice processing to record and match symptoms against the database using the gathered information it automatically print handwritten and digital prescriptions. Natural language processing Deep learning Context aware processing Intelligent robots Neural networks Fuzzy logic Support vector machines Genetic algorithms Hybrid system
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