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An Android based System for Locating Nearest National Health Insurance Scheme Hospital to Patient Location
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 22 |
| Year of Publication: 2021 |
| Authors: O.A. Daramola, T.I. Famutimi, A.E. Akinwonmi |
10.5120/ijca2021921120
|
O.A. Daramola, T.I. Famutimi, A.E. Akinwonmi . An Android based System for Locating Nearest National Health Insurance Scheme Hospital to Patient Location. International Journal of Computer Applications. 174, 22 ( Feb 2021), 34-38. DOI=10.5120/ijca2021921120
Abstract
Universal Health Insurance will give countries especially the developing ones the opportunity to make healthcare available to everyone irrespective of status. This will enable everyone share the financial burden of having access to medical services. The use of mobile technology in accessing healthcare offers a great opportunity in developing countries where healthcare is out of reach of common man and inadequate. This research takes advantage of the benefits of mobile technology in addressing the limitations of the National Health Insurance Scheme. Currently in Nigeria, any individual registered under the scheme is restricted to his/her primary healthcare clinic and when need be, a referral can be done from the primary healthcare clinic. The system is proposing locating and making available an NHIS hospital to enrollee anytime anywhere an enrollee is in need of healthcare. The system allows enrollees to gain access to healthcare services in any accredited NHIS hospital nearest to them at the time health services are required. The system consists of a two-tier client-server configuration. The client side, (an android device) is the enrollees’ module and hospital module, while the server side consists of a NHIS centralized database hosted on a web server. The system was implemented using Hypertext Preprocessor (PHP), JavaScript (JS), Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS) as the front-end. My Structured Query Language (My SQL) database was used as the back-end.
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