Smart Doctor: An Intelligent App for Medical Advice and Digital Health Record
Parvez, Rana MD Shahriare
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Over the past decade, the rapid advancement in information and communication technology has experienced a tremendous change in the health care sector. Especially, most of the developed country has already been experiencing the advantage of digitalization in the medical field. e-Health has a great potentiality to ensure proper healthcare, increase the quality of medical service, accessibility and prevent the loss of medical report. On the other hand, it can also be possible to achieve more accurate medical decision from a medical robot as a second opinion for doctor. A technology-based medical service provider company named Babylon has designed an AI which was able to achieve a score of 81% on its first try of questions from the Membership of the Royal College of General Practitioners exam, whereas the average mark of human doctors based on the logs between 2012 and 2017 was 72%. The thesis on implementing “Smart Doctor: An Intelligent App for Medical Advice and Digital Health Record” is very diverse. This research describes two part of the medical support system. One is the smart bot, which assists non-medical people to primary care or in case of a medical emergency, it provides and suggests medical attention. On the contrary, the second part is about collecting, digitalizing and organizing medical records and history of a patient. Emerging smart medical bot and electronic health record models present numerous challenges to the doctors, physicians, healthcare systems and regulators. The objective of this study is to create an overview of the existing literature on smart medical bot and electronic health record (EHR) implementation, make them available to all kind of people and to identify generally applicable findings and lessons for implementers. Here we worked on a chatbot which can provide medical suggestion based on some questionnaire. Then we have implemented digitalizing medical report using Google Mobile Vision API. The user would be able to save medical report digitally using just their mobile phone’s camera and backed the report up into the server.
- B.Sc Thesis/Project