Comprehensive Mobile Solution for Personalized Healthcare Services using Enhanced AI
To respond to the rising need for immediate and efficient healthcare services, mobile applications have been designed to simplify multiple healthcare processes. This paper introduces a complete mobile solution for personalized healthcare services. It combines cloud services and machine learning (ML) to deliver an integrated and personalized healthcare experience. The app uses location-based services in real-time to show hospitals, laboratories, and pharmacies that are nearest to them. It also has an appointment booking feature with which a patient can directly book an appointment with doctors, labs, or hospitals on the app. Such a solution allows the possibility to offer personalized healthcare management, increased accessibility, and more efficient operations. It also offers secure online payment for medical services. Additionally, the app includes features like AI-assisted symptom checks to help in determining potential conditions based on user-reported symptoms, and personalized recommendations for hospitals, labs, insurance, and facilities. A key feature of the app is the warning system, which sends the prescribed drugs timely reminders and informs users of stock levels, which effectively helps them. Another important feature is the AI Chatbot, which helps users with health evaluation, planning for appointments, and more. The system also includes an SOS emergency feature that allows users to send distress alerts along with their real-time location to pre-registered emergency contacts.
Authors
- Karungan Selvaraj Vijai Selvaraj (ORCID: https://orcid.org/0000-0001-7658-9737)
- Anna S. Messmer (ORCID: https://orcid.org/0000-0002-3206-9112)
- Sushma S. Kulkarni (ORCID: https://orcid.org/0000-0002-4735-8654)
- M Narendran
- B. V. Manikandan
- A Anju
Publication Details
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1109/icdsbs63635.2025.11031900
- Citations
- 1
- Primary Topic
- Innovation in Digital Healthcare Systems
- Type
- article
- Field-Weighted Citation Impact
- 2.94