ONLINE HOSPITAL LOCATION SYSTEM USING GOOGLE MAPS
Abstract : Location based services provide many value added features to their mobile clients for information retrieval about their current location which can be processed to get the related information about their locality.
In the Emergency cases the doctors nearby (from the app) will fill the gap by providing the information of all the doctors present near to the current location.
In this, we proposed an application which locates the nearest hospitals about five km radius with the desired medical specialist. The Nearest hospitals are Located using GPS and then the route can be taken from the current location through Google Map Application Program Interface.
With the help of this, a patient can find the nearest hospital in line with the specialized consultant who are available.
Nowadays, hospital real-time location systems propose many opportunities in healthcare systems for managing hospital services.
Some of the most important applicable objectives the HRTLS model include real-time location of patient & physician workflow, increased patient/provider safety, monitoring the valuable hospital equipment such as medical asset temperature monitoring, bed capacity management, equipment maintenance, patient elopement and other beneficial applications (7).
In general, these systems are divided into two intra-organizational and extra-organizational groups. The extraorganizational systems require broader coverage and are realized via various technologies such as satellite location.
Global Positioning System (GPS) in extra-organizational space was used as real-time patient tracking software, but it could not achieve any significant success in the intraorganizational space (8).
Privacy Concerns
Data Security: Handling and storing sensitive user data, such as location information, poses privacy risks. Ensuring data protection and compliance with regulations (e.g., GDPR, HIPAA) is essential but can be challenging.
Tracking Risks: Users’ location data could be misused if not properly safeguarded, potentially leading to privacy breaches.
Dependence on Google Maps API
API Costs: While Google Maps offers a free tier, heavy usage can lead to significant costs. The cost can become a burden, especially for applications with high traffic.
API Limitations: Google Maps API has usage limits and quotas. Exceeding these limits can result in reduced service or additional costs.
Service Availability: Dependence on Google Maps means that any outages or changes in API terms by Google can affect the functionality of your application.
The population of elderly people is increasing rapidly in many developed nations. Providing safe and comfortable care for aging people is an important social goal. Moreover, obtaining correct activity and real-time location information for an elderly person is very important.
In 2011, a novel was proposed intelligent RFID-based indoor tracking system for elderly persons. The proposed system used environment information for inhabitants and received signal strength of an RFID reader to estimate the probable location of an inhabitant.
The accuracy of the proposed system is better than that of existing RFID-based systems (13).On the other hand, an indoor U-Healthcare system used radio-frequency identification technology to accurately locate and track the elderly, and provide the real-time monitoring of elderly people’s whereabouts (14).Before that in Australia, PresCare Company used a Wi-Fi-based RFID system.
Enhanced Accessibility
Ease of Use: Google Maps provides a familiar and user-friendly interface, making it easy for users to search for and find hospitals.
Mobile-Friendly: The system can be accessed on various devices, including smartphones and tablets, allowing users to locate hospitals on the go.
Improved Navigation and Directions
Real-Time Navigation: Users can get real-time driving, walking, or transit directions to hospitals, improving their ability to reach medical facilities efficiently.
Traffic Information: Google Maps provides up-to-date traffic information, helping users avoid congestion and choose the quickest route.
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