Home / Computer Science / Design and implementation of hospital management information system

Design and implementation of hospital management information system

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the research
1.9 Definition of terms

Chapter TWO

2.1 Overview of Hospital Management Information Systems
2.2 Evolution of Hospital Information Systems
2.3 Functions of Hospital Management Information Systems
2.4 Benefits of Hospital Management Information Systems
2.5 Challenges in Implementing Hospital Management Information Systems
2.6 Best Practices in Hospital Management Information Systems
2.7 Case Studies on Successful Hospital Management Information Systems
2.8 Emerging Trends in Hospital Management Information Systems
2.9 Security and Privacy Concerns in Hospital Management Information Systems
2.10 Future Prospects of Hospital Management Information Systems

Chapter THREE

3.1 Research Design
3.2 Research Philosophy
3.3 Data Collection Methods
3.4 Sampling Techniques
3.5 Data Analysis Procedures
3.6 Research Validity and Reliability
3.7 Ethical Considerations
3.8 Research Limitations

Chapter FOUR

4.1 Overview of Research Findings
4.2 Analysis of Data
4.3 Interpretation of Results
4.4 Comparison with Existing Literature
4.5 Implications of Findings
4.6 Recommendations for Practice
4.7 Recommendations for Future Research
4.8 Limitations of the Study

Chapter FIVE

5.1 Summary of Findings
5.2 Conclusions
5.3 Contribution to Knowledge
5.4 Practical Implications
5.5 Recommendations for Implementation
5.6 Areas for Future Research
5.7 Reflections on the Research Process
5.8 Conclusion Statement

Project Abstract

Hospital Management Information System (HMIS) is refers to a computer based system that provides hospital with the tools to organize evaluate and efficiently manage departments within the hospital. MIS has five parts namely hardware, software, procedure, people and data. The method adapted in carrying out this work is the “structures system analysis and Design”, this includes stating and defining the problem at hand of the existing manual system, performing feasibility studies and analysis of this propose computer based system. The research work will further use the database management software. This project work will develop a computer based hospital management information system for Myom Hospital. It will also replace the existing manual system of information and record keeping currently in the Hospital. This study is focused on the general management information.

Project Overview

INTRODUCTION

1.0 INTRODUCTION

Integration of documentation and knowledge based computerized services in Hospital Management Information System is a tremendous means of helping health professionals in their daily practices and to improve the quality of service delivery.

The system will store patient’s records, drug inventory and dispensation as well as other relevant clinical information within the Hospital. The system will be used by the staff (Doctor Nurse, Clerks, Consultants and other relevant authorities as the demand may be) within the Hospital. It will process data speedily and accurately provide information when and where required.

The Hospital Management Information system will be used to store data, produce reports and handle management inquiries. In Hospitals that are made up of Doctors, Nurse, Patients and other personnel staff, an information system is required to keep track of the day-to-day transaction of the clinic and  to improve the communication skills. Also this system will help, in highlighting risk/complex patients for consultant input alert of DNA; easily identify all patients taking certain medications, monitor frequency of major complication e.g. peptic ulcer, check for known drug interaction, and improve evidence based practice, record questions.

Therefore, it is hoped that the Hospital Management Information system would provide a flexible and reliable management for the Federal Medical Center Hospital. This program is carefully designed to work in a standalone system or in a multi user environment.  

1.1 BACKGROUND OF STUDY

Technical innovations have proved its importance in developing the convenience we know and have profound effect upon many areas of human life.

The ability to handle and manipulate vast amount of data quickly, efficiently, reliable information, store querying and retrieval, prompt information access for research and library information had made computer very useful in varied applications. Cleary, its values are seen and applied in all fields of human endeavours. It is used in financial institutions, force and even hospitals. Hospitals are key institutions in providing relief against sickness and diseases and they require information to support medical quality assurance, cost containment, productivity improvement, and program planning and evaluation research in education.

Information system of a hospital organization is efficient if the information needed by the hospital organization is collected, processed and transfer within the hospital organization in the shortest possible time. The rate in terms of time for information needed by an institution to be collected, process and disseminated within the institution is proportional to efficiency and effectiveness of the institution or its information system (Badly R. 1997).

In Federal Medical Hospital Makurdi, the manual system for information collection, processing and dissemination within the Hospital has led to a low efficiency and effectiveness of the Hospital information system due to the fact that a lot of time is taken to collect, process and disseminate information within the Hospital. It is therefore, necessary to develop a computerized system for Myom Hospital which will collect, process and disseminate information within the Hospital in a fast, efficient and effective hospital information system.

1.2 STATEMENT OF PROBLEMS:

The problems facing Federal Medical Center Hospital are:

a.There is no proper past patient record keeping which lead to time delay and difficulty in tracing patient’s records.

b.There are no proper financial records and bills which lead to backlog of bills and as such revenue loss.

c.There is no automatic pay roll system. It is clearly that the manual system is too monotonous and prone to errors. It is also a tedious task trying to access store and retrieve information from the manual system.

d.There are no proper medical store inventories taking because it is done manually so it’s prone to errors.

1.3OBJECTIVES OF THE STUDY

The main purpose and objectives of this study is to:

a.Build and maintain patents database for analysis of data to facilitate decision making.

b.To update the existing procedures regarding standards for programming, operations, system and data entry; thereby ensuring that each section conform to the newer methodology available.

c.Improve on the accuracy of accounting and administration of hospital.

d.Reduce cost in running office administration.

1.4SCOPE OF STUDY

The study will be limited to the Hospital Information System function and the activities of Federal Medical Center Hospital.

1.5LIMITATION OF THE STUDY

Some draw backs experienced during this research work were in the following areas:

1.The proposed system was not designed not to check-make staff of the Hospital to laxity of work.

2.The proposed system will only process information if relevant data are keyed in as input.

3.Authentication into proposed system is with the use of password and user’s name.

The proposed system Graphical User Interface (GUI) was written only in English language



Blazingprojects Mobile App

📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 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 →
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 →
Computer Science. 3 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 →
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 →
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 →
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 →
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 →
Computer Science. 2 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 →
Computer Science. 2 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 →
WhatsApp Click here to chat with us