Home / Computer Science / Drug checklist management record system

Drug checklist management record system

 

Table Of Contents


Project Abstract

Project Overview

INTRODUCTION

1.0 Introduction

This chapter presents the introduction to the study, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.

Medication therapy is critical in treating and preventing disease and is an integral part of everyday life for many people. The pharmaceutical supply chain of manufacturers, wholesalers, distributors and pharmacists, as well as physicians and governments, acknowledge the importance of having a continuous supply of medications. This makes it very important for a drug checklist system to be in place to facilitate easy recording and updating of drug information. With a drug checklist system in place, pharamacies will be able to update the availability status of drugs. This will enable them to know if a drug is available or not. However, it is possible within today’s drug distribution system for glitches to occur, such as short-term back orders or long-term drug unavailability. The challenge for health care providers is to provide seamless, equivalent drug therapy at comparable costs. Assessment requires a critical evaluation of the current situation and potential impact of the shortage on patient outcomes [1].

When an important drug product is not available, practitioners will want to know:

Reasons for the product’s unavailability
When the product will be available
Options for obtaining the drug from alternate sources
Alternate therapies and their cost consequences
Related information needs of health care providers and patients.

1.1 Statement of the Problem

After examination of the existing system, the following problems were identified:

Absence of drug check information system to retrieve information about drugs sold.
Manual method of recording drug information.
Absence of a comprehensive drug information database system.

1.2 Aim and Objectives of the Study

The aim of the study is to develop a drug check list management. The following are the specific objectives:

To create a computerized system that can be used to manage drug information.
To create or design an information system that will provide detailed information about available drugs when needed.
To create a system that can be used to check the NAFDAC number, prescription and other vital information of registered drugs.

1.3 Significance of the Study

The study is significant in the following ways:

It will provide an information system that can be used to determine the usage of registered drugs.
It will help in guiding the pharmacy and customers on how to use the drug and the rules to follow.
It will provide an avenue to easily manage drug information.
The study will serve as a useful reference material to other researchers seeking similar information on the subject

1.4 Scope of the Study

This study covers Drug checklist management record system using Lily pharmacy in Ikot Ekpene as a case study. It is limited to the management of vital information pertaining to available drugs in the pharmacy.

1.5 Organization of Research

This research work is organized into five chapters. Chapter one is concerned with the introduction of the research study and it presents the preliminaries, theoretical background, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.

Chapter two focuses on the literature review, the contributions of other scholars on the subject matter is discussed.

Chapter three is concerned with the system analysis and design. It presents the research methodology used in the development of the system, it analyzes the present system to identify the problems and provides information on the advantages and disadvantages of the proposed system. The system design is also presented in this chapter.

Chapter four presents the system implementation and documentation, the choice of programming language, analysis of modules, choice of programming language and system requirements for implementation.

Chapter five focuses on the summary, constraints of the study, conclusion and recommendations are provided in this chapter based on the study carried out.

1.6 Definition of Terms

Drug: A substance used to treat an illness, relieve a symptom, or modify a chemical process in the body for specific purpose.

Checklist: A list of tasks to be completed, names to be consulted, conditions to be verified and similar.

Pharmacy: A place where prescription drugs are dispensed.

Pharmacist: A professional who dispenses drugs in a hospital or retail pharmacy.


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. 4 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. 2 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. 3 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. 3 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. 4 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