Patient care service delivery system using timed coloured petri nets. | Blazingprojects Postgraduate Thesis
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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
  • 2.2Historical Perspectives on Service Delivery Systems
  • 2.3Theoretical Frameworks in Service Delivery Systems
  • 2.4Technologies in Patient Care Service Delivery
  • 2.5Challenges in Patient Care Service Delivery Systems
  • 2.6Innovations in Service Delivery Systems
  • 2.7Best Practices in Patient Care Service Delivery
  • 2.8Impact of Service Delivery Systems on Patient Outcomes
  • 2.9Future Trends in Patient Care Service Delivery Systems
  • 2.10Case Studies in Patient Care Service Delivery Systems

Chapter THREE

RESEARCH METHODOLOGY

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

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Overview of Research Findings
  • 4.2Demographic Analysis of Participants
  • 4.3Analysis of Service Delivery Systems
  • 4.4Comparison of Different Service Delivery Models
  • 4.5Evaluation of Patient Satisfaction
  • 4.6Impact of Technology on Service Delivery
  • 4.7Recommendations for Improvement
  • 4.8Implications for Future Research

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Conclusions
  • 5.3Implications for Practice
  • 5.4Contributions to Knowledge
  • 5.5Recommendations for Policy
  • 5.6Areas for Future Research

Thesis Abstract

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.

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.

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.

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.


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