Background of the Study
Effective management of patient records is critical to delivering quality healthcare services. Accurate and accessible medical records facilitate informed clinical decisions, improve continuity of care, and enhance the overall efficiency of healthcare systems. However, in many Nigerian healthcare facilities, record management remains largely manual, leading to inefficiencies such as misplaced files, delayed access to information, and compromised patient confidentiality.
Artificial Intelligence (AI) has emerged as a transformative solution for managing patient records in healthcare settings. AI-powered systems can automate data entry, organize medical histories, and ensure secure storage and retrieval of patient information. Moreover, these systems can integrate with electronic health records (EHRs) to provide predictive analytics, helping clinicians identify patterns and trends that inform better decision-making.
Federal Medical Center (FMC) Gombe, a key healthcare provider in northeastern Nigeria, serves a large and diverse population. However, the hospital faces challenges in managing its growing volume of patient records, often resulting in inefficiencies that impact the quality of care. AI applications could address these challenges by streamlining record management processes and improving data accessibility and security.
This study investigates the role of AI applications in enhancing patient record management at FMC Gombe. By focusing on this critical aspect of healthcare delivery, the research aims to provide evidence-based recommendations for optimizing record management systems in similar settings.
Statement of the Problem
The manual management of patient records at FMC Gombe poses significant challenges, including inefficiencies, delays in accessing information, and risks to data security. These issues undermine the quality of care and strain the hospital's resources. While AI offers innovative solutions to these problems, its adoption in record management is limited in Nigerian healthcare facilities. This study explores how AI applications can improve patient record management at FMC Gombe, addressing these critical gaps.
Aim and Objectives of the Study
Aim:
To assess the role of Artificial Intelligence applications in managing patient records at Federal Medical Center, Gombe State.
Objectives:
To identify the challenges of manual patient record management at FMC Gombe.
To explore the application of AI systems in streamlining patient record management.
To evaluate the impact of AI-driven record management on healthcare delivery at FMC Gombe.
Research Questions
What challenges are associated with manual patient record management at FMC Gombe?
How can AI applications improve the efficiency and security of patient record management?
Research Hypotheses
AI-driven record management systems reduce inefficiencies in patient record handling.
The adoption of AI applications enhances data security and confidentiality in healthcare settings.
AI technology improves healthcare delivery by ensuring timely access to accurate patient information.
Significance of the Study
The study underscores the importance of leveraging AI to address persistent challenges in patient record management. By focusing on FMC Gombe, it provides practical insights into how AI can enhance healthcare efficiency and support evidence-based decision-making in similar facilities.
Scope and Limitation of the Study
The study focuses on the application of AI in managing patient records at FMC Gombe. Limitations include potential variability in AI adoption across different healthcare facilities and constraints in generalizing findings beyond the study context.
Definition of Terms
Artificial Intelligence (AI): Technology designed to perform tasks that typically require human intelligence, such as data analysis and decision-making.
Patient Records: Documentation of a patient’s medical history, treatment plans, and healthcare interactions.
Federal Medical Center (FMC) Gombe: A tertiary healthcare institution in Gombe State, Nigeria, offering a range of medical services.
Record Management: The systematic process of creating, storing, and retrieving information for effective healthcare delivery.
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