Measuring and monitoring body temperature has importance for disease diagnosis. It could also help following the course of the disease. Extensive number of body temperature monitoring applications are designed and developed. These applications could be named as healthcare applications aiming to provide convenience to the users. The Internet of Things technology is popular in healthcare applications by offering remote and real-time monitoring. In this project, a telemedicine platform facilitating the diagnosis and monitoring of febrile illnesses is designed. A user-friendly platform is implemented using software components. Message Queuing Telemetry Transport (MQTT), which is a communication protocol, is used for the communication between devices and monitoring system. A broker is used to transmit measured body temperature data from a device to the cloud server. The performance of the broker is evaluated with thousands of generated data packets. It is showed that the platform can handle data requests with a high throughput, i.e, up to 40000 packets/s. The monitoring system is designed as an interactive user interface. For this purpose, Telegram is adapted to the requirements of the platform by using an open-source library of Telegram BOT API. Hence, a user is able to access the measurement results and also control the measurements using instant messaging via Telegram interface. Moreover, this proposed platform could eliminate the use of separate healthcare applications for different diseases by using just a single instant messaging program for all different applications.