Smart Medi Friend: An Automated Healthcare System, Implementation and Results
Prachi Patil1, Sojwal Pajai2, Surabhi Sanger3, Dimpal Shinde4
1Prachi Patil, Computer Department, Savitribai Phule Pune University, Sinhgad College of Engineering, Pune, India.
2Sojwal Pajai, Computer Department, Savitribai Phule Pune University, Sinhgad College of Engineering, Pune, India.
3Surabhi Sangar, Computer Department, Savitribai Phule Pune University, Sinhgad College of Engineering, Pune, India.
4Dimpal Shinde, Computer Department, Savitribai Phule Pune University, Sinhgad College of Engineering, Pune, India.
Manuscript received on 13 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 41-44 | Volume-6 Issue-5, June 2017 | Retrieval Number: E5000066517/17©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the current era, one of the greatest concerns in healthcare is global aging and prevalence of chronic diseases A smart medi-friend is an all-inclusive healthcare application consisting android devices, cloud server and medi-box(NFC). This system works as an assistance application for healthcare and also as a medicine remainder, eliminating the possibility of taking wrong medicine. One of the five main modules, Admin, will manage doctors’ and patients’ info stored in database through server. Doctors will be able to give prescription, update prescription and timing, view report and history of patient from patient list. Patients will be able to identify medicines using NFCs, upload reports and view latest prescription. Patient’s app will generate an alert according to the medicine time uploaded by the doctor. ANN algorithm will predict the highest probable disease when symptoms are given as input. This project will reduce the burden on hospital resources, save time and money of patients and will act as a perfect assistance tool in healthcare services.
Keywords: NFC, ANN, JDBC, J2SE.
Scope of the Article: Healthcare Informatics