Home / Computer Science / Design and implementation of drug procurement and institution tracking system

Design and implementation of drug procurement and institution tracking system

 

Table Of Contents


Project Abstract

No response received.

Project Overview

INTRODUCTION

1.1 BACKGROUND OF STUDY

Computerization is defined as the control of processes by computers and its peripherals. Today it would be difficult to think of any process, business or action that could not have profited from the numerous benefits of the computer system. Controlling process or devices with computer started long ago since the invention of computer. In the 20th century inventors tried to make processes easier with the use of computers. Secondly computerization has been greatly applied or used in controlling process that requires frequent action such as drug procurement, drug management, drug tracking and drug distributions in hospital management information system in pharmacy departments of hospitals.

1.2 STATEMENT OF PROBLEM

Drug procurement, tracking, distribution and information management in this regard are routine processes carried out in various hospitals across Nigeria. It is a common place to observe that these routine processes are still preformed manually or are minimally computerized even in our Teaching Hospitals. This manual approach to these routine operations has a lot of problems associated with it, ranging from poor handling of drug data of patients, lack of good storage information system for drugs and drug dispensary, delays, to the difficulty in retrieving information on drugs and patients’ records.

1.3 OBJECTIVES OF THE STUDY

The aim of this research project is to design and implement a computerized drug information management system, drug procurement and distribution tracking system. This includes:

(i). To order for drugs without mistake of procuring more than required.

(ii). To take good stock of drugs.

(iii). To prevent dispensary of expired drugs

(iv). To ensure accurate keeping of records of drugs

1.4 SIGNIFICANCE OF THE STUDY

The benefits derivable from this work include the following:

(i) It will provide reliable healthcare services.

(ii) It will guarantee hospital management and patients of genuine and safe drugs.

(iii) It will ensure an efficient and standard drug dispensary system.


Blazingprojects Mobile App

πŸ“š Over 50,000 Project Materials
πŸ“± 100% Offline: No internet needed
πŸ“ Over 98 Departments
πŸ” Software coding and Machine construction
πŸŽ“ Postgraduate/Undergraduate Research works
πŸ“₯ Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Computer Science. 3 min read

Predicting Disease Outbreaks Using Machine Learning and Data Analysis...

The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...

BP
Blazingprojects
Read more β†’
Computer Science. 4 min read

Implementation of a Real-Time Facial Recognition System using Deep Learning Techniqu...

The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...

BP
Blazingprojects
Read more β†’
Computer Science. 4 min read

Applying Machine Learning for Network Intrusion Detection...

The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...

BP
Blazingprojects
Read more β†’
Computer Science. 2 min read

Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...

The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...

BP
Blazingprojects
Read more β†’
Computer Science. 3 min read

Applying Machine Learning Algorithms for Predicting Stock Market Trends...

The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...

BP
Blazingprojects
Read more β†’
Computer Science. 4 min read

Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...

The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...

BP
Blazingprojects
Read more β†’
Computer Science. 3 min read

Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Algori...

Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...

BP
Blazingprojects
Read more β†’
Computer Science. 4 min read

Anomaly Detection in Network Traffic Using Machine Learning Algorithms...

Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...

BP
Blazingprojects
Read more β†’
Computer Science. 3 min read

Predictive maintenance using machine learning algorithms...

Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...

BP
Blazingprojects
Read more β†’
WhatsApp Click here to chat with us