In the past few years, several cloud services such as IBM cloud services, Microsoft service, Amazon web services as well as Google cloud platform services related databases are rising rapidly all over the world. In the case of a Relational database, it is easy to handle only a small amount of data. So to overcome the shortcomings, this paper proposes a Hospital Management System (HMS) using Mongo DB as a database. The Mongo DB is the classification of a document-related database that comes under the category of NoSQL database which is referred to as a non-relational database. Mongo DB aims in reducing the gap among two different types of scalable key-value databases such as fast and high scalable key-value databases. Also, this database reduces the time delay during the working of four operational modes such as selection, insertion, deletion, and updation. Furthermore, the Enhanced Entity-Relationship Model (EERM) for the HMS that is designed to manage the entire section of the hospital which includes the reception section, casualty section, details regarding the medical treatment, and employees. The HMS stores three million tuple entities and is loaded into the Mongo DB database. Also, the operation based on selection, insertion, deletion, and updation mode is evaluated. Therefore, the experimental analysis reveals that the proposed HMS using Mongo DB provides is highly efficient with less time delay, thus obtaining an effective system.

在过去的几年里，IBM云服务、微软服务、亚马逊网络服务以及谷歌云平台服务相关数据库等几项云服务在全球范围内迅速崛起。在关系数据库的情况下，只处理少量数据很容易。因此，为了克服这些缺点，本文提出了一种使用Mongo DB作为数据库的医院管理系统（HMS）。Mongo DB是文档相关数据库的分类，属于NoSQL数据库的范畴，被称为非关系数据库。Mongo DB旨在缩小两种不同类型的可扩展键值数据库之间的差距，例如快速和高可扩展键值数据库。此外，该数据库减少了选择、插入、删除、删除等四种操作模式工作时的延时。和更新。此外，HMS 的增强型实体关系模型 (EERM) 旨在管理医院的整个部门，包括接待部门、伤员部门、医疗细节和员工。HMS 存储了三百万个元组实体，并加载到 Mongo DB 数据库中。此外，还评估了基于选择、插入、删除和更新模式的操作。因此，实验分析表明，所提出的使用 Mongo DB 的 HMS 提供的效率高，时延少，从而获得了一个有效的系统。HMS 存储了三百万个元组实体，并加载到 Mongo DB 数据库中。此外，还评估了基于选择、插入、删除和更新模式的操作。因此，实验分析表明，所提出的使用 Mongo DB 的 HMS 提供的效率高，时延少，从而获得了一个有效的系统。HMS 存储了三百万个元组实体，并加载到 Mongo DB 数据库中。此外，还评估了基于选择、插入、删除和更新模式的操作。因此，实验分析表明，所提出的使用 Mongo DB 的 HMS 提供的效率高，时延少，从而获得了一个有效的系统。