Table of Contents
Abstract. 2
CHAPTER ONE.. 5
INTRODUCTION.. 5
1.1 Background to the Study.. 5
1.2 Statement of the Problem... 7
1.3 Objectives of the Study.. 8
1.4 Research Questions. 8
1.5 Research Hypothesis. 9
1.6 Significance of the Study.. 9
1.7 Scope of the Study.. 10
1.8 Limitations of the Study.. 10
1.9 Organization of the Study.. 10
1.10 Definition of Terms. 11
CHAPTER TWO.. 15
REVIEW OF RELATED LITERATURE.. 15
2.1 Introduction.. 15
2.2 Theoretical Review.. 15
2.2.1 Information Processing Theory. 15
2.2.2 Technology Acceptance Model Theory. 16
2.2.3 Human Factors Theory. 16
2.2.4 Service Delivery Theory. 16
2.3 Conceptual Review.. 17
2.4 Empirical Review.. 20
2.5 Summary of Literature Review.. 21
Chapter Three.. 22
Research Methodology.. 22
3.1 Introduction.. 22
3.2 Research Design.. 22
3.3 Population of the Study.. 22
3.4 Sampling Techniques and Sample Size.. 23
3.5 Data Collection Methods. 23
3.6 Procedure for Data Collection.. 23
3.7 Data Analysis Techniques. 24
3.8 Ethical Considerations. 24
3.9 Limitations of the Study.. 24
3.10 Conclusion.. 25
CHAPTER FOUR.. 26
DATA ANALYSIS AND INTERPRETATION.. 26
4.1 Preamble.. 26
4.2 Socio-Demographic Characteristics of Respondents. 26
TABLES BASED ON RESEARCH QUESTIONS.. 30
4.3 Analysis of the Respondents’ Views on Research Question one:. 30
4.4 Testing Hypothesis. 45
Discussion of Findings. 47
CHAPTER FIVE.. 50
SUMMARY CONCLUSION AND RECOMMENDATION.. 50
5.1 Summary of Findings. 50
5.2 Conclusion.. 51
5.3 Recommendations. 51
REFERENCES.. 53
Questionnaire.. 56
CHAPTER ONE
INTRODUCTION
1.1 Background to the Study
In today's digital age, the effective processing of health data plays a pivotal role in enhancing service delivery within tertiary hospitals. Health information personnel are at the forefront of this critical function, tasked with managing and processing vast amounts of sensitive patient information. Their responsibilities encompass ensuring data accuracy, confidentiality, and accessibility, which are essential for maintaining high standards of healthcare provision. This introduction explores the pivotal role of data processing practices in tertiary hospitals, emphasizing the crucial link between effective information management and improved service delivery. Smith A, Jones B. (2022).
Data processing practices in healthcare settings involve a multifaceted approach to handling patient information. This includes the collection, storage, retrieval, and analysis of data to support clinical decision-making and administrative processes. By adhering to standardized protocols and leveraging technological advancements, health information personnel can streamline operations and mitigate potential risks associated with data breaches or inaccuracies. The integration of electronic health records (EHRs) and health information systems (HIS) further underscores the importance of efficient data management in enhancing patient care outcomes. Johnson C, et al. (2023).
Service delivery within tertiary hospitals hinges significantly on the competence and diligence of health information personnel. Their ability to process data accurately and promptly influences various aspects of healthcare provision, from diagnostic procedures to treatment planning and patient monitoring. By upholding ethical standards and regulatory compliance, these professionals safeguard patient confidentiality while facilitating seamless communication among healthcare teams. Moreover, continuous training and professional development empower health information personnel to adapt to evolving technological landscapes and regulatory frameworks, thereby optimizing their contribution to overall service excellence. Brown L. (2023).
Effective data processing practices not only support clinical operations but also contribute to advancing healthcare research and policy development. By harnessing anonymized data sets, health information personnel enable epidemiological studies, outcomes research, and evidence-based decision-making at institutional and national levels. This interconnectedness underscores the transformative potential of robust data management strategies in shaping the future of healthcare delivery. As healthcare systems continue to evolve, the role of health information personnel in driving innovation and improving patient outcomes through efficient data processing practices remains indispensable. White E, et al. (2022).
1.2 Statement of the Problem
Effective data processing practices by health information personnel in tertiary hospitals are crucial for ensuring efficient service delivery and optimal patient care. However, challenges persist in this domain, impacting the quality and timeliness of healthcare services. One critical issue revolves around the complexity of managing large volumes of health data while maintaining accuracy and confidentiality. This challenge is exacerbated by the rapid adoption of electronic health records (EHRs) and health information systems (HIS), which require stringent protocols to prevent data breaches and ensure compliance with privacy regulations (Smith & Jones, 2022).
Another significant problem lies in the variability of data processing standards across different healthcare institutions, leading to inconsistencies in information management practices. Variations in training and resources available to health information personnel can hinder their ability to effectively utilize data processing tools and technologies, thereby affecting service efficiency and patient outcomes. Moreover, the integration of new technologies often outpaces the development of standardized procedures and guidelines, posing further challenges to seamless data processing and interoperability within and across healthcare settings (Johnson et al., 2023).
1.3 Objectives of the Study
The main objective of the study is to examine Data Processing Practices and Service Delivery of Health Information Personnel in tertiary hospital. Specific objectives of the study are:
- To assess the impact of data accuracy on service delivery by health information personnel.
- To evaluate the influence of data security protocols on the quality of service provided by health information personnel.
- To explore the association between health information personnel training and their effectiveness in utilizing data for improved service delivery.
1.4 Research Questions
To guide the study and achieve the objectives of the study, the following research questions were formulated:
- To what extent do errors in data entry and coding affect the ability of health information personnel to deliver efficient services?
- How do data access restrictions and user authentication procedures impact the timeliness and accuracy of information retrieval by healthcare providers?
- Is there a correlation between the level of training received by health information personnel in data analysis and utilization, and their ability to generate reports and insights that contribute to better patient care?
1.5 Research Hypothesis
The following research hypothesis was developed and tested for the study:
Ho: There is no significant relationship between data processing practices of health information personnel and service delivery in tertiary hospitals.
1.6 Significance of the Study
The study is important for many reasons. The following are the major stakeholders this paper through its practical and theoretical implications and findings will be of great significance:
Firstly, the paper will benefit major stakeholders and policy makers in the Health Information Management sector. The various analysis, findings and discussions outlined in this paper will serve as a guide in enabling major positive changes in the industry and sub-sectors.
Secondly, the paper is also beneficial to the organizations used for the research. Since first hand data was gotten and analysed from the organization, they stand a chance to benefit directly from the findings of the study in respect to their various organizations. These findings will fast track growth and enable productivity in the organisations used as a case study.
Finally, the paper will serve as a guide to other researchers willing to research further into the subject matter. Through the conclusions, limitations and gaps identified in the subject matter, other student and independent researchers can have a well laid foundation to conduct further studies.
1.7 Scope of the Study
The study is delimited to UUTH, Uyo. Findings and recommendations from the study reflects the views and opinions of respondents sampled in the area. It may not reflect the entire picture in the population.
1.8 Limitations of the Study
The major limitations of the research study are time, financial constraints and delays from respondents. The researcher had difficulties combining lectures with field work. Financial constraints in form of getting adequate funds and sponsors to print questionnaires, hold Focus group discussions and logistics was recorded. Finally, respondents were a bit reluctant in filling questionnaires and submitting them on time. This delayed the project work a bit.
1.9 Organization of the Study
The study is made up of five (5) Chapters. Chapter one of the study gives a general introduction to the subject matter, background to the problem as well as a detailed problem statement of the research. This chapter also sets the objectives of the paper in motion detailing out the significance and scope of the paper.
Chapter Two of the paper entails the review of related literature with regards to corporate governance and integrated reporting. This chapter outlines the conceptual reviews, theoretical reviews and empirical reviews of the study.
Chapter Three centers on the methodologies applied in the study. A more detailed explanation of the research design, population of the study, sample size and technique, data collection method and analysis is discussed in this chapter.
Chapter Four highlights data analysis and interpretation giving the readers a thorough room for the discussion of the practical and theoretical implications of data analyzed in the study.
Chapter Five outlines the findings, conclusions and recommendations of the study. Based on objectives set out, the researcher concludes the paper by answering all research questions set out in the study.
1.10 Definition of Terms
1. Data Processing Practices
Refers to the methods and procedures used by health information personnel to collect, store, organize, analyze, and manage healthcare data within tertiary hospitals. Effective data processing practices ensure data accuracy, integrity, and accessibility while adhering to privacy and security standards.
2. Health Information Personnel
Professionals responsible for managing health information in healthcare settings, including roles such as health information managers, medical coders, and health informaticians. They play a critical role in ensuring the quality, confidentiality, and availability of patient data for clinical decision-making and administrative purposes.
3. Service Delivery
The process of providing healthcare services to patients within tertiary hospitals, encompassing aspects such as diagnosis, treatment, monitoring, and patient care management. Service delivery aims to meet patient needs effectively while adhering to quality standards and regulatory requirements.
4. Tertiary Hospitals
Healthcare facilities that offer specialized medical care, advanced diagnostic services, and specialized treatment options. Tertiary hospitals typically have specialized departments and expertise to manage complex medical conditions and provide high-level care.
5. Electronic Health Records (EHR)
Digital records of a patient's health information that are stored and accessed electronically within a healthcare organization. EHRs contain comprehensive information about a patient's medical history, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, and laboratory test results.
6. Health Information Systems (HIS)
Integrated systems that manage healthcare data and facilitate information exchange within healthcare organizations. HIS includes software and hardware components that support clinical and administrative functions such as patient registration, scheduling, billing, and clinical decision support.
7. Data Accuracy
The degree to which healthcare data correctly reflects the true status or condition of patients, procedures, diagnoses, and treatments. Ensuring data accuracy is crucial for maintaining the quality and reliability of healthcare information used for clinical decision-making and reporting purposes.
