Improving Health Workers' Competence in Electronic Health Records Utilization for Quality Service Delivery: A Systematic Review

<ns5:p>Introduction Electronic Health Records (EHRs) are important for improving healthcare quality, but many health workers do not fully use them due to limited skills. This reduces their benefits and can affect patient care. Methods A systematic literature review was conducted in accordance with PRISMA guidelines. Multiple databases, including PubMed, Scopus, JMIR, JAMIA, and BMC, were searched for empirical studies published between 2020 and 2025. Studies were selected using predefined Population–Intervention–Outcome–Study design (PIOS) criteria. A total of 34 studies met the inclusion criteria. Data were extracted using a standardized form, and methodological quality was assessed using the Joanna Briggs Institute appraisal tools. Due to heterogeneity in study designs and outcome measures, findings were synthesized using a thematic analysis approach informed by Social Cognitive Theory and Adult Learning Theory. Results Five main approaches were found to improve EHR skills: role-based training, simulation training, peer support (super-users), short on-the-job learning (microlearning), and follow-up training after system use. These methods helped improve efficiency, reduce errors, increase confidence, and lower burnout among health workers. Discussion &amp; Conclusion EHR competence is not just about technical skills, it also involves training, support, and continuous learning. Combining different training methods works best. Healthcare organizations should invest in ongoing training to improve patient safety, service quality, and staff well-being.</ns5:p>

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Publication Details

Journal
F1000Research
Published
2026-06-30
DOI
https://doi.org/10.12688/f1000research.181503.1
Primary Topic
Electronic Health Records Systems
Type
article
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article

Improving Health Workers' Competence in Electronic Health Records Utilization for Quality Service Delivery: A Systematic Review

Akampurira Paul, Joe Mutebi, Venkateswarlu Maninti, Brian Mugisha et al.
F1000Research
Electronic Health Records Systems
article

Improving Health Workers' Competence in Electronic Health Records Utilization for Quality Service Delivery: A Systematic Review

Akampurira Paul, Joe Mutebi, Venkateswarlu Maninti, Brian Mugisha, Latifat Aderonke Adeyemi
article en

Abstract

<ns5:p>Introduction Electronic Health Records (EHRs) are important for improving healthcare quality, but many health workers do not fully use them due to limited skills. This reduces their benefits and can affect patient care. Methods A systematic literature review was conducted in accordance with PRISMA guidelines. Multiple databases, including PubMed, Scopus, JMIR, JAMIA, and BMC, were searched for empirical studies published between 2020 and 2025. Studies were selected using predefined Population–Intervention–Outcome–Study design (PIOS) criteria. A total of 34 studies met the inclusion criteria. Data were extracted using a standardized form, and methodological quality was assessed using the Joanna Briggs Institute appraisal tools. Due to heterogeneity in study designs and outcome measures, findings were synthesized using a thematic analysis approach informed by Social Cognitive Theory and Adult Learning Theory. Results Five main approaches were found to improve EHR skills: role-based training, simulation training, peer support (super-users), short on-the-job learning (microlearning), and follow-up training after system use. These methods helped improve efficiency, reduce errors, increase confidence, and lower burnout among health workers. Discussion &amp; Conclusion EHR competence is not just about technical skills, it also involves training, support, and continuous learning. Combining different training methods works best. Healthcare organizations should invest in ongoing training to improve patient safety, service quality, and staff well-being.</ns5:p>

F1000ResearchVol. 15
Kampala International University (UG)
Openalex Percentile: Top 5%
Electronic Health Records Systems
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