Time series analysis on patient attendance | Blazingprojects Postgraduate Thesis
Home / Mathematics / Time series analysis on patient attendance

Time series analysis on patient attendance

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Time Series Analysis
  • 2.2History of Patient Attendance Analysis
  • 2.3Concepts and Theories in Time Series Analysis
  • 2.4Factors Affecting Patient Attendance
  • 2.5Previous Studies on Patient Attendance
  • 2.6Techniques in Time Series Analysis
  • 2.7Applications of Time Series Analysis in Healthcare
  • 2.8Challenges in Time Series Analysis
  • 2.9Future Trends in Time Series Analysis
  • 2.10Summary of Literature Review

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Methodology Overview
  • 3.2Research Design and Approach
  • 3.3Data Collection Methods
  • 3.4Sampling Techniques
  • 3.5Data Analysis Methods
  • 3.6Ethical Considerations
  • 3.7Validity and Reliability
  • 3.8Data Presentation Techniques

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Analysis of Patient Attendance Patterns
  • 4.2Trends and Seasonal Variations in Patient Attendance
  • 4.3Impact of External Factors on Patient Attendance
  • 4.4Comparison of Different Analysis Techniques
  • 4.5Interpretation of Findings
  • 4.6Discussion on Implications for Healthcare Management
  • 4.7Recommendations for Improving Patient Attendance
  • 4.8Areas for Future Research

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Conclusion and Summary
  • 5.2Recap of Research Objectives
  • 5.3Key Findings and Insights Gained
  • 5.4Contribution to Existing Knowledge
  • 5.5Implications for Healthcare Practice
  • 5.6Limitations of the Study
  • 5.7Suggestions for Future Research

Thesis Abstract

Abstract
Time series analysis on patient attendance is a crucial area of research in healthcare management and resource allocation. Understanding patterns and trends in patient attendance can help healthcare facilities optimize their operations, improve service delivery, and allocate resources efficiently. This study aims to investigate the factors influencing patient attendance patterns using time series analysis techniques. The research will focus on a comprehensive dataset of patient attendance records collected over a significant period. Various time series analysis methods will be employed to analyze the data, including trend analysis, seasonality decomposition, and forecasting techniques. These methods will help identify underlying patterns in patient attendance, such as daily, weekly, or seasonal variations. Moreover, the study will explore the impact of external factors on patient attendance patterns, such as weather conditions, public holidays, and local events. By integrating these external variables into the time series analysis, the research aims to provide a more nuanced understanding of patient attendance dynamics. Furthermore, the study will also investigate the potential use of predictive modeling techniques to forecast future patient attendance based on historical data and identified patterns. This predictive capability can assist healthcare facilities in planning staff schedules, resource allocation, and capacity management to meet the demand effectively. Overall, this research seeks to contribute to the field of healthcare management by providing insights into patient attendance patterns through advanced time series analysis techniques. By understanding the factors influencing patient attendance and developing predictive models, healthcare facilities can improve their operational efficiency, enhance patient satisfaction, and ensure optimal resource utilization.

Thesis Overview

<p> </p><p>1.1 &nbsp; &nbsp;<strong>INTRODUCTION</strong></p><p>Hajia Gambo Sawaba General Hospital since its inception in 1975 has received considerable amount of people, for treatment medical advice, family planning and a host of other reason. Different categories of people have patronized the hospital for its efficiency.</p><p>It is therefore in the best interest of the researcher to use his or her knowledge of statistic application is the attendance of ill health (patients) attending the hospital. It does not and here the research as will look forward to classifying, arranging and recording the monthly, quarterly, annual, bi-annual attendance of patients in the hospital.</p><p>In an attempt to introduce efficient methods and routine towards comparing the total attendance of, in and out patient this in general comprises of male, female and children patient attending the hospital.</p><p>To crown it all, it shall be in form of data (secondary, primary data) depending on the set of people wishing to use it and purpose or criterion behind using the research, the data collected will be analysis organized, summarized and compiled. Since hospital patronage is consistent and continuous process, it will be an efficient data collection, centres and will promote statistical application and voluminous data i.e. moving average and time series analysis.</p><p>1.2 &nbsp; &nbsp;<strong>AIMS OF OBJECTIVE</strong></p><p>1. &nbsp; &nbsp; &nbsp; To determine whether there is an increase or decrease in patients’ attendance.</p><p>2. &nbsp; &nbsp; &nbsp; To forecast the patient attendance by using linear trend method</p><p>3. &nbsp; &nbsp; &nbsp; To forecast for patient attendance using the fitted trend equation from 2008 to 2012</p><p>1.3 &nbsp; &nbsp;<strong>SCOPE AND LIMITATION</strong></p><p>This research will limit it analysis on the comparison of the attendance of patient. (IN and OUT) based on secondary data collected from the hospital Hajiya Gambo Sawaba General Hospital Zaria from (1998 to 2007).</p><p>1.4 &nbsp; &nbsp;<strong>HISTORICAL BACKGROUND OF SOURCE OF DATA</strong></p><p>The hospital was established and commissioned by His Excellency the Governor of Kano State Late Alaji Audu Bako in 1975. The hospital is directly under Kaduna State Ministry of Health.</p><p><strong>VARIOUS DEPARTMENT OF THE HOSPITAL</strong></p><p>The hospital consists of nine (9) departments. The various departments include:</p><p><strong>Medical Department:</strong>&nbsp;The Medical Director is the overall boss of the hospital. He is only answerable to the Kaduna State Commissioner of Health. He is in charge of all medical cases.</p><p><strong>Administration Department:</strong>&nbsp;Hospital secretary is the head of this department. He heads all the administrative staff of various departments of the hospital and all heads of department are under him and answerable them, as every head administered on his behalf. &nbsp;</p><p><strong>Nursing Service Department:</strong>&nbsp;The nursing service department is in charge with central of nurses, their posting, their duty roster, their shifting training to other post basic courses.</p><p><strong>Medical Record Department:</strong>&nbsp;This department deals with keeping record and collection of data.</p><p><strong>Laboratory:</strong>&nbsp;Technologist works in the laboratory and for the operation of laboratories equipment.</p><p><strong>Pharmacy Department: </strong>The pharmaceutical department is in charge with the supply of drugs, drugs custody, drug protection and storage etc.</p><p><strong>Radiology Department:</strong>&nbsp;The radiology is in charge with x-ray e.g. chinstraps etc.</p><p><strong>Ophthalmology Department:</strong>&nbsp;Ophthalmology department is in charge with all cases of eye, its treatment etc.</p><p><strong>E.N.T Department:</strong>&nbsp;This department is in charge with all cases of ear.</p> <br><p></p>

Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Environmental scienc. 2 min read

A Resilience-Framing Framework for Urban Water–Energy–Waste Nexus Governance...

The research topic explores how cities can manage the interconnected systems of water, energy, and waste more effectively by using a resilience-framing framewor...

BP
Blazingprojects
Read more →
Environmental manage. 4 min read

A Resilience-Framing Framework for Urban Environmental Management Systems...

This research explores a resilience-framing framework for urban environmental management systems, focusing on how cities plan for, respond to, and learn from en...

BP
Blazingprojects
Read more →
Communication and li. 3 min read

A Pragmatic-Narrative Alignment Model for Multilingual Interaction...

The research investigates how speakers manage meaning across languages in multilingual settings by proposing a Pragmatic-Narrative Alignment Model. It aims to e...

BP
Blazingprojects
Read more →
Art and Design. 4 min read

A Framework for Cross-Sensory Narrative in Contemporary Art Design...

A Framework for Cross-Sensory Narrative in Contemporary Art Design is about how artists combine multiple senses—such as sight, sound, touch, and even smell or...

BP
Blazingprojects
Read more →
Applied science. 4 min read

A Multi-Modal Sensor Fusion Framework for Real-Time Hazard Prediction...

This research explores designing and validating a framework that combines data from multiple sensing modalities to predict hazards in real time. The central ide...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

A Resilience-Based Framework for Agroforestry Crop Yield Optimization...

This research explores a resilience-based framework to optimize crop yields in agroforestry systems, integrating trees with crops to enhance productivity, stabi...

BP
Blazingprojects
Read more →
Agricultural science. 4 min read

A Competency-Based Framework for Agricultural Science Education Reform...

The research focuses on designing and validating a competency-based framework to guide agricultural science education reform. It asks how education for future a...

BP
Blazingprojects
Read more →
Adult education. 4 min read

A-Learning Ecosystem for Transformative Adult Education: A Holistic Model...

This research explores how an interconnected digital and human-centered learning environment can promote transformative outcomes in adult education. It asks whe...

BP
Blazingprojects
Read more →
Zoology. 3 min read

A Unified Framework for Animal Behavioral Ecology Networking Theory...

This research explores how animal behavior in natural systems can be understood through a unified networking-based framework that links individual actions, soci...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us