Patient care service delivery system using timed coloured petri nets.

 

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 Patient Care Service Delivery Systems
  • 2.2Evolution of Timed Coloured Petri Nets
  • 2.3Applications of Timed Coloured Petri Nets in Healthcare
  • 2.4Benefits of Using Timed Coloured Petri Nets in Patient Care
  • 2.5Challenges in Implementing Timed Coloured Petri Nets in Healthcare
  • 2.6Comparison of Timed Coloured Petri Nets with Other Modeling Techniques
  • 2.7Case Studies Using Timed Coloured Petri Nets in Healthcare
  • 2.8Future Trends in Patient Care Service Delivery Systems
  • 2.9Summary of Literature Review

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Methodology Overview
  • 3.2Selection of Research Design
  • 3.3Data Collection Methods
  • 3.4Sampling Techniques
  • 3.5Data Analysis Procedures
  • 3.6Validity and Reliability of Research
  • 3.7Ethical Considerations
  • 3.8Limitations of the Research Methodology

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Data Analysis and Interpretation
  • 4.2Descriptive Statistics of Collected Data
  • 4.3Comparison of Results with Research Objectives
  • 4.4Findings Related to Timed Coloured Petri Nets in Patient Care
  • 4.5Discussion on the Implications of the Findings
  • 4.6Recommendations for Implementation
  • 4.7Areas for Future Research
  • 4.8Conclusion of Findings

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Research Findings
  • 5.2Conclusion and Interpretation of Results
  • 5.3Contributions to the Field of Healthcare
  • 5.4Practical Implications of the Study
  • 5.5Recommendations for Future Research
  • 5.6Final Thoughts and Closing Remarks

Project Abstract

<p> </p><p>In hospitals, patient care service delivery is an important factor that determines the rate of quality service. Most of the existing Patient Care Service Delivery System models reported in literature were majorly to improve service in the emergency department using different performance metrics. However, this research work conceptualized on modelling a patient care service delivery system which is characterized by emergency, inpatient and outpatient cases using Timed Coloured Petri Nets.</p><p>In developing a Timed Coloured Petri Nets (TCPN) model for a patient care service delivery system, the medical personnel (nurses) and the three categories of patient (emergency, inpatient and outpatient) visiting the Oyo State General Hospital, Fiditi, were used as a case study. The developed Patient Care Service Delivery System (TCPN) model consists of three sections. The first section modelled the three categories of patients and their current states. The second section modelled the Nursing station and how patients were administered by the available nurse(s), while the third section abstracted the nurse-patient service delivery. The developed TCPN model was simulated using CPN tools. The validation of the developed TCPN model was explored by carrying out the statistical analysis between the simulated and the observed average waiting times and queue length of the patients under study.</p><p>The simulation results of the developed TCPN model revealed the patient average waiting times of 14.5208, 2.9583, 0.9792 and 0.50000 minutes alongside the patient queue length of 27, 6, 5 and 1 as administered by 1, 2, 3 and 4 nurses respectively. Statistically, there were no significant difference between the simulated and the observed average waiting times and the queue lengths of patients under consideration at 5% level.</p><p>Conclusively, this research work has been able to develop a TCPN model for studying a patient care service delivery system. Also, the developed Timed Coloured Petri Nets model, through its simulation, could help in predicting nurse-patient ratio required for effective patient care service delivery in a named medical center.</p> <br><p></p>

Project Overview

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