Assessment of Patients’ Perceptions of Electronic Health Records Systems and Service Satisfaction in Selected Hospitals in Bayelsa State

1. Introduction

Electronic Health Records (EHRs) are computerized systems designed to collect, store, manage, and retrieve patient health information within and across healthcare institutions. They represent a major shift from traditional paper-based record systems toward integrated digital platforms that support more efficient, accurate, and coordinated healthcare delivery. As a core component of modern health information systems, EHRs enable real-time access to patient data across multiple points of care, thereby improving communication among healthcare providers and supporting continuity in patient management (Kruse et al., 2019; World Health Organization, 2021). In practical terms, this means that a patient’s medical history, laboratory results, prescriptions, and clinical notes can be accessed instantly by authorized health professionals, reducing delays and minimizing information loss.

Compared to paper-based documentation, EHR systems offer significant advantages in terms of accuracy, accessibility, and efficiency. They reduce the risk of transcription errors, minimize duplication of records, and support standardized documentation practices across departments and facilities (Nguyen et al., 2020; Alotaibi & Federico, 2017). Furthermore, EHRs improve workflow efficiency in hospitals by streamlining administrative processes such as patient registration, billing, appointment scheduling, and laboratory reporting. This integrated approach contributes to improved continuity of care, especially for patients who require long-term or multi-disciplinary treatment.

At the global level, the implementation of EHR systems has been widely associated with improvements in patient safety and clinical outcomes. Studies indicate that EHRs contribute to reductions in medication errors through automated alerts and decision-support tools that assist clinicians in prescribing appropriate treatments (Buntin et al., 2021). They also enhance diagnostic accuracy by providing comprehensive and longitudinal patient information, enabling healthcare providers to make more informed decisions. In addition, EHR systems support continuous monitoring of patients’ health conditions, particularly for chronic diseases, thereby improving long-term disease management and reducing hospital readmissions (Sutton et al., 2020).

Beyond clinical and operational advantages, EHRs also play a significant role in strengthening evidence-based practice in healthcare systems. By providing structured and readily accessible patient data, they allow clinicians and researchers to identify patterns, evaluate treatment outcomes, and apply best practices in clinical decision-making (Campanella et al., 2019). This contributes not only to improved individual patient care but also to broader health system planning and policy development.

However, the effectiveness of EHR systems is not determined solely by technological infrastructure; human factors, particularly patient perception, play a critical role. Patients’ attitudes toward digital health technologies significantly influence their willingness to engage with healthcare services and share sensitive health information. When patients perceive EHR systems as efficient, secure, and beneficial, they are more likely to trust healthcare providers and actively participate in their care. Such positive perceptions often translate into improved communication between patients and providers, greater satisfaction with services, and enhanced healthcare experiences (Alhur et al., 2022; Esmaeilzadeh, 2019).

On the other hand, negative perceptions can undermine the effectiveness of EHR systems. Concerns regarding data privacy, confidentiality breaches, and unauthorized access to personal health information remain major barriers to acceptance. Additionally, perceived system unreliability, such as frequent downtime or slow response times, may reduce patient confidence in digital healthcare systems. These concerns may lead to reluctance in disclosing full medical histories, thereby affecting the quality of care delivered (Menachemi & Collum, 2019). Therefore, understanding patient perception is essential for ensuring the successful adoption and utilization of EHR systems.

In developing countries such as Nigeria, the implementation of EHR systems is still at a developmental stage and varies significantly across regions and healthcare institutions. Although there has been increasing interest in digital health transformation, many healthcare facilities continue to rely heavily on paper-based systems or operate hybrid models that combine both manual and electronic processes. Several structural and systemic challenges continue to hinder full adoption. These include inadequate ICT infrastructure, limited financial resources, insufficient training of healthcare personnel, poor internet connectivity, and unstable power supply (Oluoch et al., 2020; Adeniyi et al., 2022). These challenges not only affect system performance but also influence how patients perceive and interact with EHR systems.

In Bayelsa State specifically, some healthcare facilities have begun integrating electronic systems into their operations. However, the level of implementation remains uneven, and patient interaction with these systems is still not well understood. Most existing studies in Nigeria have focused on healthcare providers’ experiences, technical implementation challenges, and institutional readiness, with limited attention given to patients’ perspectives. This creates a significant gap in knowledge, as patients are the ultimate beneficiaries of healthcare services and their perceptions directly influence satisfaction, trust, and service utilization. Understanding how patients perceive EHR systems in Bayelsa State is therefore essential for evaluating the effectiveness of digital health interventions and improving healthcare delivery outcomes in the region.

1.2 Statement of the Problem

Global advancement in digital health has positioned Electronic Health Records (EHR) systems as essential tools for improving healthcare quality. In Nigeria, however, many healthcare institutions continue to experience difficulties in achieving effective utilization and optimal outcomes from these systems. In several hospitals, EHR implementation remains misaligned with patient expectations and service delivery needs. Operational challenges such as system downtime, poorly designed user interfaces, and limited interoperability interfere with clinical workflows, extend patient waiting times, and reduce overall efficiency in healthcare delivery (Nguyen et al., 2020; Campanella et al., 2019).

Low patient awareness of EHR systems further contributes to misunderstanding, reduced trust, and weak engagement with digital health services. When patients lack sufficient information about how electronic systems operate, their confidence in healthcare processes tends to decline, which can negatively affect satisfaction with care received (Esmaeilzadeh, 2019; Alhur et al., 2022). Concerns surrounding data privacy and confidentiality also remain significant, as many patients are uncertain about the security and protection of their personal health information within electronic systems (Menachemi & Collum, 2019).

In Bayelsa State, healthcare facilities are gradually shifting from paper-based records to electronic systems. This transition is uneven and often implemented without adequate infrastructure, structured training, or strong patient-centered system design. Evidence examining how patients perceive EHR systems and how these perceptions influence their satisfaction with healthcare services remains limited. This absence of patient-focused empirical evidence presents a critical gap, as overlooking patient perspectives may lead to the adoption of digital systems that fail to meet user needs, weaken trust in healthcare delivery, and reduce the intended benefits of digital transformation.

1.3 Objectives of the Study

General Objective:

To assess patients’ perceptions of EHR systems and their effect on service satisfaction in selected hospitals in Bayelsa State.

Specific Objectives:

1. To determine the level of patients’ awareness and understanding of EHR systems.

2. To assess patients’ perceptions regarding the usefulness, reliability, and accessibility of EHR systems.

3. To examine the relationship between patients’ perceptions of EHR systems and their overall service satisfaction.

4. To identify the challenges patients face when interacting with EHR systems.

1.4 Research Questions

1. What is the level of awareness of EHR systems among patients in selected hospitals in Bayelsa State?

2. How do patients perceive the usefulness and reliability of EHR systems?

3. What is the relationship between patients’ perceptions of EHR systems and their service satisfaction?

4. What challenges do patients encounter when using EHR systems?

2. Literature Review

2.1 Conceptual FrameworkElectronic Health Records (EHR)

Electronic Health Records (EHRs) are integrated digital systems designed for the systematic capture, storage, retrieval, and management of patient health information in electronic format. These systems contain comprehensive patient data, including demographic information, medical history, diagnoses, laboratory results, prescribed medications, treatment plans, and clinical progress notes (Kruse et al., 2019; Nguyen et al., 2020). EHRs are designed not only to digitize patient records but also to integrate healthcare services across departments and facilities, thereby improving coordination and continuity of care.

The effectiveness of EHR systems is often evaluated based on key attributes such as accessibility, accuracy, security, confidentiality, interoperability, and operational efficiency. Accessibility ensures that authorized healthcare providers can retrieve patient information in real time, while accuracy reduces errors associated with manual documentation. Security and confidentiality are critical in protecting sensitive patient information from unauthorized access, while efficiency enhances workflow processes and reduces administrative burden in healthcare delivery systems (Campanella et al., 2019; Menachemi & Collum, 2019).

Patients’ perceptions refer to how individuals receiving healthcare services interpret, understand, and emotionally evaluate the use of electronic systems in managing their health information. These perceptions are shaped by personal experiences, level of awareness, technological literacy, and trust in healthcare institutions. In the context of EHR systems, patients’ perceptions are particularly important because they influence acceptance of digital health technologies, willingness to disclose personal health information, and engagement with healthcare providers (Alhur et al., 2022).

Positive perceptions are often associated with improved confidence in healthcare delivery, better communication with healthcare professionals, and increased satisfaction with services. Conversely, negative perceptions often driven by concerns about privacy breaches, system errors, or lack of transparency may reduce trust and discourage full participation in digital healthcare processes.

Service satisfaction in healthcare refers to patients’ overall evaluation of the quality and effectiveness of healthcare services received. It is determined by the extent to which healthcare services meet or exceed patient expectations in areas such as waiting time, communication with healthcare providers, service accessibility, professionalism of staff, and perceived quality of care (Kruse et al., 2019; Udoh et al., 2023).

In relation to EHR systems, service satisfaction is closely linked to how efficiently and effectively the system supports healthcare delivery. When EHR systems improve speed of service, reduce errors, and enhance communication, patients are more likely to report higher levels of satisfaction. Therefore, service satisfaction serves as an important outcome variable in evaluating the success of digital health interventions.

2.2 Theoretical FrameworkTechnology Acceptance Model (TAM)

The Technology Acceptance Model (TAM), developed by Davis (1989), is widely used to explain how individuals accept and use technology. The model proposes that two main factors determine technology acceptance: perceived usefulness and perceived ease of use. Perceived usefulness refers to the degree to which a person believes that using a system will enhance their performance or experience, while perceived ease of use refers to the extent to which the system is perceived as effortless to use.

In healthcare settings, TAM is highly relevant in explaining patients’ acceptance of EHR systems. When patients perceive EHR systems as useful in improving service delivery and easy to interact with, they are more likely to develop positive attitudes toward them. These positive attitudes subsequently influence satisfaction levels and willingness to engage with healthcare services (Nguyen et al., 2020; Buntin et al., 2021).

Theory of Planned Behavior (TPB)

The Theory of Planned Behavior (TPB), developed by Ajzen (1991), explains human behavior as being driven by behavioral intentions, which are influenced by attitudes, subjective norms, and perceived behavioral control. Attitude refers to an individual’s positive or negative evaluation of a behavior, subjective norms refer to perceived social pressure to perform or not perform the behavior, and perceived behavioral control refers to the perceived ease or difficulty of performing the behavior.

In the context of this study, TPB helps explain patients’ intentions to accept and engage with EHR systems. Patients’ attitudes toward digital health systems, influence from healthcare providers or family members, and their perceived ability to interact with electronic systems all shape their acceptance and satisfaction with healthcare services.

2.3 Empirical Review2.3.1 Studies Conducted in Nigeria

Udoh, Okeke, Edet, and Osuchukwu (2023) examined healthcare workers’ perceptions of EHR systems in two tertiary hospitals in Uyo, Nigeria. The study revealed that a majority of respondents (77.6%) who had experience with EHR systems reported positive perceptions. Additionally, 67.8% indicated that EHR use improved patient outcomes, while 65.3% reported enhanced patient satisfaction. The study established a significant relationship between positive perception of EHR systems and perceived improvement in service delivery (p = 0.007), highlighting the importance of perception in healthcare technology adoption.

Odekunle, Suleiman, and Adebayo (2021) investigated barriers to EHR implementation in a Nigerian teaching hospital. Although awareness levels among healthcare workers were relatively high, actual usage of EHR systems remained low. Major challenges identified included unstable power supply, poor internet connectivity, and inadequate funding. The study concluded that these infrastructural and systemic barriers significantly limited the effectiveness of EHR systems in improving healthcare efficiency and service satisfaction.

A study conducted by Cambridge Research Publications (2022) at a Federal Medical Centre in Yenagoa, Bayelsa State, reported high awareness (mean = 4.16) and positive perceptions (mean = 4.52) of EHR systems among healthcare workers. However, the study also identified gaps in training, technical competence, and user confidence, indicating that positive perception alone does not guarantee effective utilization of EHR systems.

Adeleke, Lawal, Adio, and Adebayo (2015) assessed EHR readiness in Nigerian tertiary hospitals and found that although healthcare workers demonstrated willingness to adopt EHR systems, inadequate infrastructure and poor funding were major constraints. Similarly, Iroju, Soriyan, Gambo, and Olaleke (2019) highlighted interoperability challenges among health information systems in Nigeria, which limited seamless data exchange and reduced system effectiveness.

2.3.2 Studies in Other African Countries

Mensah et al. (2024), in a study conducted in Ghana, found that perceived ease of use and organizational support significantly influenced health professionals’ acceptance of EHR systems. The study emphasized that institutional commitment and training play a crucial role in successful EHR adoption.

In Kenya, Oluoch et al. (2020) reported that the implementation of EHR systems led to measurable improvements in healthcare delivery, including a 25% reduction in patient waiting time and a 30% improvement in data accuracy. These findings demonstrate the potential of EHR systems to improve both efficiency and quality of care when effectively implemented.

2.3.3 International Evidence

Campanella et al. (2019), through a systematic review and meta-analysis, found that EHR systems significantly improve care coordination, reduce duplication of diagnostic tests, and enhance clinical decision-making. The study emphasized that integrated health information systems contribute to overall healthcare efficiency and safety.

Buntin et al. (2021) similarly reported that health information technologies, including EHRs, reduce administrative delays and medical errors while improving healthcare outcomes. Kruse et al. (2019) further observed that patient portals and EHR access improve patient engagement and satisfaction, particularly when systems are designed to be user-friendly and secure.

2.4 Research Gap

A review of existing literature reveals that most studies in Nigeria have focused primarily on healthcare providers’ perspectives, technical challenges, and institutional readiness for EHR implementation. Limited attention has been given to patients’ experiences, perceptions, and satisfaction levels, which are critical for evaluating the overall success of EHR systems.

Furthermore, existing studies are largely concentrated in urban and tertiary healthcare settings, with insufficient empirical evidence from the Niger Delta region, particularly Bayelsa State. This geographical gap limits the generalizability of findings to rural and semi-urban populations.

This study therefore addresses both conceptual and contextual gaps by focusing specifically on patients’ perceptions of EHR systems and how these perceptions influence service satisfaction in selected hospitals in Bayelsa State, Nigeria.

3. Methodology

3.1 Research Design

A descriptive cross-sectional survey design was adopted to assess patients’ perceptions and service satisfaction at a single point in time. This design is appropriate for examining existing conditions without manipulating study variables (Creswell & Creswell, 2018).

3.2 Study Area

The study was carried out in Bayelsa State, Nigeria, specifically in two healthcare facilities:

• General Hospital Kolo, Ogbia Local Government Area

• Yenagoa Hospital and Maternity, Yenagoa Local Government Area

These hospitals were selected due to their use of electronic systems in managing patient information, making them suitable environments for assessing patients’ experiences with EHR-supported healthcare services. The facilities also serve a diverse population, allowing for a broader representation of patient experiences within the state.

3.3 Target Population

The target population consisted of adult patients aged 18 years and above who were receiving healthcare services in the selected hospitals. This included both inpatients and outpatients who had interacted with EHR-supported processes such as registration, consultation, laboratory services, or pharmacy services. Only patients with direct exposure to the hospital information system were considered eligible for inclusion in the study.

3.4 Sample Size and Sampling Technique

The sample size was determined using Cochran’s formula:

[n = \frac{Z^2pq}{e^2}]

Where:Z = 1.96 (confidence level of 95%)p = 0.5 (assumed population proportion)q = 0.5e = 0.05 (margin of error)

This yielded an initial sample size of 384. However, due to time and resource constraints, the sample was adjusted to 200 respondents for feasibility while maintaining adequate representation.

A multistage sampling technique was adopted:

• Stage 1: Purposive SamplingTwo hospitals were purposively selected based on their adoption of EHR systems.

• Stage 2: Systematic SamplingPatients were selected systematically from outpatient and inpatient attendance registers at regular intervals.

• Stage 3: Proportionate AllocationThe sample was distributed between the two hospitals based on their patient flow to ensure fair representation.

3.5 Data Collection Instrument

Data were collected using a structured questionnaire titled Patients’ Perception of Electronic Health Records and Service Satisfaction Questionnaire (PPEHRSSQ). The instrument was designed to capture relevant information across four sections:

• Section A: Socio-demographic characteristics of respondents

• Section B: Awareness and perception of EHR systems

• Section C: Perceived usefulness and ease of use of EHR systems

• Section D: Level of service satisfaction

Responses were measured using a 5-point Likert scale as follows: Strongly Agree (5), Agree (4), Undecided (3), Disagree (2), and Strongly Disagree (1).

3.6 Validity and Reliability of the Instrument

The instrument was subjected to both face and content validity. This was done through expert review by specialists in Health Information Management and Measurement and Evaluation, who ensured that the items were clear, relevant, and aligned with the study objectives.

To determine reliability, a pilot study was conducted with 20 respondents from a healthcare facility outside the study area but with similar characteristics. The data obtained were analyzed using Cronbach’s Alpha, which yielded a reliability coefficient of 0.78. This indicates that the instrument had acceptable internal consistency and was suitable for data collection.

3.7 Data Collection Procedure

The researcher administered the questionnaires directly to selected respondents with the assistance of trained research assistants. This approach ensured clarity of questions and improved response accuracy. The questionnaires were retrieved immediately after completion to minimize loss of data and to enhance the response rate.

3.8 Data Analysis

Collected data were coded and analyzed using Statistical Package for Social Sciences (SPSS) version 26. Descriptive statistics such as frequency distribution, percentages, means, and standard deviations were used to summarize the data. Inferential statistics, specifically Pearson Product Moment Correlation analysis, was employed to test the relationship between patients’ perceptions of EHR and service satisfaction. The level of significance was set at 0.05.

3.9 Ethical Considerations

Ethical approval for the study was obtained from the relevant health authorities in Bayelsa State. Informed consent was obtained from all participants before data collection. Respondents were assured of confidentiality, and participation was entirely voluntary. No personal identifiers such as names or hospital numbers were collected, ensuring anonymity and protecting respondents’ privacy throughout the study.

4. Results

4.1 Response Rate

Out of the 200 questionnaires distributed, 185 were duly completed and returned for analysis, representing a response rate of 92.5%. This high response rate indicates strong participation and enhances the reliability of the findings.

4.2 Demographic Characteristics of RespondentsGender Distribution

The gender distribution shows that female respondents were slightly more than male respondents.

Age Distribution

The majority of respondents fall within the active working-age population, particularly those between 26–35 years.

Educational Qualification

The educational profile indicates that most respondents had at least secondary or tertiary education, suggesting a relatively informed sample population.

4.3 Patients’ Awareness and Perception of EHR Systems

The findings on awareness and perception indicate that respondents generally demonstrated a positive understanding of Electronic Health Records (EHR) systems. Most patients were aware of the existence of EHR and acknowledged its role in improving access to health information and organizing hospital services.

Overall, the grand mean of 4.05 reflects a generally positive perception of EHR systems among patients.

4.4 Perceived Usefulness of EHR Systems

Respondents indicated that EHR systems offer several practical benefits in healthcare delivery, particularly in reducing waiting time and improving the accuracy of medical records.

The grand mean of 4.01 suggests that patients perceive EHR systems as useful tools that enhance efficiency and communication in healthcare settings.

4.5 Service Satisfaction

The results show that patients expressed a high level of satisfaction with healthcare services delivered through EHR-supported systems. Many respondents indicated preference for hospitals using electronic records.

The overall grand mean of 4.07 indicates a high level of service satisfaction among patients.

4.6 Relationship Between Patients’ Perception and Service Satisfaction

A Pearson correlation analysis was conducted to determine the relationship between patients’ perception of EHR systems and their level of service satisfaction.

The result reveals a strong positive and statistically significant relationship (r = 0.72, p < 0.05) between patients’ perception of EHR systems and their service satisfaction. This implies that as patients’ perception of EHR improves, their satisfaction with healthcare services also increases.

4.7 Challenges Encountered by Patients

Despite the generally positive findings, respondents identified several challenges associated with the use of EHR systems in healthcare delivery. These include:

• Occasional system downtime and technical disruptions

• Concerns regarding data privacy and confidentiality

• Limited understanding of how EHR systems operate

• Inadequate explanation and orientation from healthcare staff

These challenges indicate the need for improved system stability, patient education, and stronger data protection measures to enhance user experience and trust in EHR systems.

5. Discussion

5.1 Key Findings in Context

The findings of this study indicate that patients in selected hospitals in Bayelsa State generally hold a positive perception of Electronic Health Records (EHR) systems, with a grand mean score of 4.05. This suggests a favourable disposition toward the adoption and use of digital health technologies in the study area. The result is consistent with the findings of Udoh et al. (2023), who reported that a significant proportion of respondents in Uyo demonstrated positive perceptions of EHR systems. Similarly, the study conducted by Cambridge Research Publications (2022) in Yenagoa also reported high perception levels among healthcare workers, indicating a broader pattern of acceptance of digital health systems within the South-South geopolitical zone of Nigeria.

The perceived usefulness of EHR systems was also rated highly by respondents. Patients acknowledged that EHR contributes to reduced waiting time (mean = 4.05), improved accuracy of medical records (mean = 4.02), and better communication between healthcare providers and patients (mean = 3.95). These findings are in agreement with Oluoch et al. (2020), who observed that EHR implementation in resource-limited settings can significantly enhance operational efficiency, including reductions in patient waiting time and improvements in data accuracy. This suggests that even in developing healthcare systems, patients are beginning to experience tangible benefits associated with digital transformation.

In addition, the high level of service satisfaction recorded in this study (grand mean = 4.07) reflects the positive impact of EHR systems on patient experience. This finding aligns with the work of Campanella et al. (2019) and Buntin et al. (2021), who emphasized that health information technologies improve healthcare delivery by reducing administrative delays, minimizing errors, and strengthening communication between patients and providers. The results therefore suggest that EHR systems, when effectively implemented, can enhance both efficiency and perceived quality of care.

5.2 Relationship Between Perception and Satisfaction

The study revealed a strong and statistically significant positive relationship between patients’ perception of EHR systems and their level of service satisfaction (r = 0.72, p < 0.001). This finding indicates that improvements in how patients perceive EHR systems are associated with corresponding increases in satisfaction with healthcare services.

This result supports the Technology Acceptance Model (TAM) proposed by Davis (1989), which posits that perceived usefulness and perceived ease of use are key determinants of technology acceptance and user satisfaction. When patients perceive EHR systems as beneficial and easy to engage with, they are more likely to report higher satisfaction with healthcare services. This finding is also consistent with Mensah et al. (2024), who found that perceived usefulness and organizational support significantly influenced acceptance of EHR systems in Ghanaian healthcare settings.

Furthermore, the finding aligns with the Theory of Planned Behavior (Ajzen, 1991), which explains that individual attitudes toward a behavior, influenced by beliefs and social context, significantly shape behavioral intentions and outcomes. In this context, positive attitudes toward EHR systems contribute to greater acceptance and satisfaction with healthcare services.

5.3 Challenges and Contextual Factors

Despite the generally positive findings, several challenges were identified that may affect optimal utilization of EHR systems. These challenges reflect broader systemic issues commonly reported in low- and middle-income countries. For instance, Odekunle et al. (2021) identified infrastructural deficiencies such as unstable power supply, poor internet connectivity, and inadequate funding as major barriers to effective EHR implementation in Nigeria. Similarly, Adeleke et al. (2015) emphasized that insufficient infrastructure and limited financial investment continue to hinder full EHR adoption and sustainability.

The concerns raised by patients regarding data privacy and confidentiality are also consistent with existing literature. Esmaeilzadeh (2019) and Menachemi & Collum (2019) noted that fears about unauthorized access to personal health information significantly influence patients’ trust and willingness to fully embrace electronic health systems. These concerns are particularly relevant in environments where cybersecurity infrastructure and enforcement mechanisms may still be developing.

The presence of technical challenges and limited patient understanding further highlights the need for improved system usability and stronger user engagement strategies. Without addressing these contextual limitations, the full benefits of EHR systems may not be fully realized.

5.4 Implications for Practice

The findings of this study have important implications for healthcare practice and policy implementation. First, the relatively lower level of patient understanding of EHR systems suggests a need for improved patient education and awareness campaigns within healthcare facilities. Patients should be adequately informed about how EHR systems work and how their data is managed to build trust and enhance engagement.

Second, the identification of technical challenges such as system downtime highlights the importance of strengthening healthcare infrastructure, including stable power supply, reliable internet connectivity, and regular system maintenance. Without these supports, the efficiency gains associated with EHR systems may be undermined.

Third, concerns regarding data privacy and confidentiality underscore the need for stronger data protection policies and transparent communication between healthcare providers and patients. Establishing clear guidelines on data security can help improve trust in digital health systems.

Finally, continuous training of healthcare personnel is essential to ensure effective use of EHR systems. Well-trained staff are better positioned to manage digital records efficiently and to educate patients on the benefits and use of EHR systems, thereby improving overall service delivery and patient satisfaction.

6. Conclusion And Recommendations

6.1 Conclusion

This study examined patients’ perceptions of Electronic Health Records (EHR) systems and their influence on service satisfaction in selected hospitals in Bayelsa State, Nigeria. Based on the analysis of data and discussion of findings, the following conclusions are drawn.

First, patients generally demonstrate a positive perception of EHR systems. They recognize the role of digital health records in improving the organization, accessibility, and efficiency of healthcare services. This indicates an increasing level of acceptance of digital health technologies among patients in the study area.

Second, EHR systems are widely perceived as beneficial in improving key aspects of healthcare delivery. These include reducing waiting time, improving the accuracy of medical records, and enhancing communication between healthcare providers and patients. These perceived benefits reflect the practical impact of EHR systems on patient experience and service delivery efficiency.

Third, the study reveals a high level of service satisfaction among patients receiving care in hospitals where EHR systems are implemented. This suggests that digital health systems contribute positively to the overall quality of healthcare experience.

Fourth, there is a strong and statistically significant positive relationship between patients’ perceptions of EHR systems and their level of service satisfaction (r = 0.72, p < 0.001). This confirms that patients who hold favourable perceptions of EHR systems are more likely to report higher satisfaction with healthcare services.

Finally, despite these positive outcomes, several challenges were identified, including occasional system failures, concerns about data privacy and confidentiality, and limited patient understanding of how EHR systems function. These challenges indicate areas that require improvement to ensure optimal utilization of EHR systems.

In summary, the study concludes that Electronic Health Records significantly enhance patient satisfaction when effectively implemented. Patients’ perceptions play a central role in shaping their evaluation of healthcare services within digital health environments.

6.2 Recommendations

Based on the findings of this study, the following recommendations are made:

1. Hospitals should implement structured patient education programmes to improve awareness and understanding of EHR systems. This may include verbal explanations during registration, information leaflets, and visual materials displayed within hospital environments.

2. Healthcare facilities should ensure that EHR systems are user-friendly, stable, and regularly maintained. Routine system checks, software updates, and preventive maintenance should be institutionalized to minimize downtime and technical disruptions.

3. There is a need for sustained investment in essential infrastructure such as stable electricity supply, backup power systems, and reliable internet connectivity. These are critical for ensuring uninterrupted EHR operations.

4. Continuous training should be provided for healthcare personnel to improve their technical competence in using EHR systems. Training should also emphasize effective communication strategies to help patients better understand digital health processes.

1. Healthcare institutions should implement robust data security measures, including encryption, access control systems, and audit trails. Clear privacy policies should be communicated to patients to build trust in digital health systems.

2. Government health authorities should establish clear national and state-level guidelines for EHR implementation. These policies should emphasize patient-centered design, interoperability, and sustainability, particularly in resource-limited settings.

1. Future studies should examine the cost-effectiveness of EHR implementation in Nigerian healthcare systems and its long-term impact on healthcare outcomes and efficiency.

2. Further qualitative studies are recommended to explore patients’ lived experiences and deeper perceptions of EHR systems, which may reveal nuanced challenges not captured through quantitative methods.

6.3 Contribution to Knowledge

This study makes the following contributions to existing knowledge:

1. It provides empirical evidence on patients’ perceptions of Electronic Health Records systems within a developing healthcare context, specifically Bayelsa State, Nigeria.

2. It establishes a strong positive relationship between patients’ perceptions of EHR systems and their level of service satisfaction.

3. It reinforces the importance of patient-centered evaluation in assessing the success of digital health technologies.

4. It addresses a significant geographical and empirical gap by contributing data from the Niger Delta region, where patient-focused EHR studies remain limited.