Patient Health Informatics System using Cloud Computing and IoT
M. Jafar Sathick Ali1, Jayakumar Kaliappan2, R. Lokeshkumar3
1M. Jafar Sathick Ali, Computer Science and Engineering, VelTech Dr. Rangarajan Dr. Sankunthala R & D Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. Jayakumar Kaliappan, Associate Professor, School of Computer Science and Engineering, VIT University, Vellore (Andhra Pradesh), India.
3Dr. R. Lokeshkumar, Associate Professor, School of Computer Science and Engineering, VIT University, Vellore (Andhra Pradesh), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2162-2165 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6209058719/19©BEIESP
Open Access | Ethics and 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: With the development in technology, health care is developing both in its technicality as well as in its organization. In present day, the patient data storage is of our greatest concern, as it has to be convenient for the doctor to access at the time of emergency. The most important properties of the patient informatics are – it should be accessible by the doctors to check the medical history of the patients in order to suggest any prescription, it should be accessible to the patient medical informatics even when the patient is unconscious, should be compatible and spontaneous to any updates in the data, all this data should be stored at a centralized pool or storage, also latency and response time should be less with high performance and accuracy. With all these specifications in concern, there comes a need to develop a system which has huge storage (cloud) which accessible from any hospital, an immediate collector (storage) of sensor data which takes in the updates at sensor, actuators–things level (Edge) as well as at network level (Fog). This system therefore has high performance due to reduced latency and response time with an authorized access and security to the patient informatics.
Keyword: Cloud Storage, Patient data, Fingerprint Sensor, Edge, Fog.
Scope of the Article: IoT.