Abstract:
This technical paper primarily focuses on requirement of automation in medical sector. As in the current scenario, we can see that from November 2019 to April 2021, more ...Show MoreMetadata
Abstract:
This technical paper primarily focuses on requirement of automation in medical sector. As in the current scenario, we can see that from November 2019 to April 2021, more than 15 crores[1] patients were admitted to hospitals and this number is only contributed by Covid-19 without considering other viruses and diseases. Thus, it is the need of hour to introduce a system which can resolve the problems in appointment booking in such a crisis.As of now, world is reaching towards a population of 8 billion[2] but only 164,500[3] hospitals are available worldwide in 2015 which is quite low with respect to population. So our model helps in managing the appointments in such a large extent which will ultimately reduce the load on hospitals. Our model provides the facilities like instant appointment booking with the generation of unique patient ID which will identify any patient worldwide. Thus it will help in tracking any patient’s medical reports with the option of online payment, reducing the use of paper and this will be a big step in saving the trees and environment. Our model also gives a comparison feature, enabling the users to get a glance of various prices, ratings of hospitals and doctors. Another important feature which our model provides is locating nearest hospitals from patient’s location.
Date of Conference: 10-12 November 2021
Date Added to IEEE Xplore: 14 January 2022
ISBN Information: