Pharmaceutical Dispensary System for Hospitals and Pharmacies Using Embedded System and Cloud Computing
SahayaSakila V1, Aditya Rohan Das2, Dhananjay Narayan3, Yashaswi Rahut4
1Sahaya Sakila V, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Aditya Rohan Das, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Dhananjay Narayan, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Yashaswi Rahut, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1591-1595 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6718048419/19©BEIESP
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© 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: The major current issue of access and efficiency for medicine supply in India can be resolved by providing medicine consumers with an automated distribution system which uses embedded system and cloud computing to work like an ATM. The consumers are provided with a special prescription that they can insert in the machine. Themachine verifies with database if the requested drug is in stock. The machine accesses its cloud storage to check the database using Amazon S3 (Simple Storage Service) or RDS(Relational Database Service). If the drug is in stock, the machine fetches the cost and furnishes the user with the payment options. After the payment confirmation, the machine dispenses the drugs and updates its database. Whenever a medicine or drug has been consumed, a notification is sent to thedistributer to provide refill.Some medicines are to be stored in optimal conditions to maintain their potency. The machine accommodates cold storage feature that monitors the temperature, humidity, UV radiation level and gas composition using sensors.If any of the parameter changes drastically, a notification is delivered to the supervisor. Using Amazon EC2(Elastic Cloud Computing) the machine analyzes the data it records and determinesthe patterns of frequency in consumption, the most and least used products in a region. This project aims to revolutionize existing health care systems by proposing a new adaptive drug distribution system that also addresses quality assurance, system design and benchmarking for quality improvement.
Keywords: Pharmaceutical, Medicines, Drugs, Distribution System, Cloud Computing, Embedded Systems, Data Analysis, Healthcare Electronics
Scope of the Article: Cloud Computing