Human Factors of EHR Adoption in Saudi Primary Healthcare

Alanazi, Bander; Alhijji, Mohammed Hijji; Alanazi, Ibtisam Dhuwayhi

doi:10.3233/shti220512

Cited by 3 publications

(1 citation statement)

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“…Using an EHRS in a primary care practice was studied by (Alanazi et al, 2022). The study did not explicitly mention the sociotechnical model but investigated the human factors influencing the adoption of EHRS in primary healthcare.…”

Section: Models For Ehrsmentioning

confidence: 99%

Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems

Mwogosi,

Shao,

Kibusi

et al. 2024

JHOM

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PurposeThis study aims to assess previously developed Electronic Health Records System (EHRS) implementation models and identify successful models for decision support.Design/methodology/approachA systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The data sources used were Scopus, PubMed and Google Scholar. The review identified peer-reviewed papers published in the English Language from January 2010 to April 2023, targeting well-defined implementation of EHRS with decision-support capabilities in healthcare. To comprehensively address the research question, we ensured that all potential sources of evidence were considered, and quantitative and qualitative studies reporting primary data and systematic review studies that directly addressed the research question were included in the review. By including these studies in our analysis, we aimed to provide a more thorough and reliable evaluation of the available evidence.FindingsThe findings suggest that the success of EHRS implementation is determined by organizational and human factors rather than technical factors alone. Successful implementation is dependent on a suitable implementation framework and management of EHRS. The review identified the capabilities of Clinical Decision Support (CDS) tools as essential in the effectiveness of EHRS in supporting decision-making.Originality/valueThis study contributes to the existing literature on EHRS implementation models and identifies successful models for decision support. The findings can inform future implementations and guide decision-making in healthcare facilities.

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Section: Models For Ehrsmentioning

confidence: 99%

Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems

Mwogosi,

Shao,

Kibusi

et al. 2024

JHOM

View full text Add to dashboard Cite

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Insights into the current state of electronic health records adoption and utilisation in Tanzanian public primary healthcare facilities: a survey study

Mwogosi,

Mambile

2024

RMJ

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Purpose This study aims to investigate the adoption and use of electronic health record systems (EHRS) in Tanzanian public primary healthcare institutions. The study’s objectives include understanding the factors that affect EHRS adoption, identifying implementation challenges and evaluating the effect of EHRS usage on healthcare delivery. By addressing these research goals, the study aims to contribute insightful information on the current level of EHRS adoption in Tanzanian primary healthcare facilities and contribute to developing strategies to improve EHRS deployment and healthcare in the nation. Design/methodology/approach This study combined quantitative and qualitative data using a mixed-methods methodology. Both data types were collected and analysed concurrently using a concurrent triangulation approach. The study aimed to comprehend the variables that affect the adoption and use of EHRS in Tanzanian public primary healthcare institutions. Eleven regions spanning various geographic locations and urban–rural dynamics were chosen as research sites. A survey of 122 healthcare employees was conducted with a sample of 31 healthcare facilities. The questionnaire had closed-ended and open-ended questions to gather quantitative and qualitative data. Descriptive statistics and thematic analysis were used in data analysis. Throughout the investigation, ethical standards and confidentiality precautions were observed. Findings Several factors affect the adoption and use of EHRS. Perceived usefulness and use, support and training, interoperability, data security and privacy, business culture and leadership are all factors. Inadequate infrastructure, power interruptions, duplication of effort and a lack of data analytic expertise were among the difficulties. Among the effects were improvements in data management, service delivery and coordination, productivity and efficiency, medical supply inventory control, billing and revenue collection. Originality/value This study, which complements earlier research that has concentrated chiefly on specialised healthcare settings, gives new insights by investigating the adoption and utilisation of EHRS, especially in primary healthcare institutions. The findings give policymakers and healthcare professionals in Tanzania and other nations vital information to help them decide whether to embrace and use EHRS in primary healthcare.

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Electronic Health Record Adoption in Oral and Dental Health Centres in Turkey

Köse,

Cece,

Yener

et al. 2024

Journal of Health Management

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The digitalisation studies in public hospitals in Turkey started with the Health Transformation Program in 2003. The Ministry of Health has been measuring the dissemination of meaningful usage and adoption of electronic health record (EHR) using Electronic Medical Record Adoption Model (EMRAM) and Outpatient Electronic Medical Record Adoption Model (O-EMRAM). Using a comprehensive survey, our study intends to measure the stage of EHR adoption in oral and dental health centres (ODHCs) providing primary healthcare services in Turkey. The results obtained were classified by basic and comprehensive EHR functions and benchmarked against the studies addressing EHR adoption in primary healthcare institutions of other countries. In 2021, 167 ODHCs/oral and dental health hospitals (ODHHs) actively operating in Turkey completed the O-EMRAM survey. The data obtained from the survey results were analysed with QlikView Personal Edition. The availability and prevalence of medical information systems and EHR functions and their use were measured. It is observed that 59 (40.7%) of ODHCs/ODHHs have comprehensive EHR functions, while the remaining 86 (59.3%) have basic EHR functions. Under these circumstances, it can be stated that all ODHCs/ODHHs in Turkey use at least basic EHR functions. All ODHCs/ODHHs in Turkey have at least basic EHR functions. The integration of e-prescription, electronic authorisation system and e-Pulse used throughout Turkey and Health Information Management System Society (HIMSS) used in ODHCs/ODHHs can be listed as one of the decisive factors in this result. ODHCs/ODHHs still have a long way to go in adopting EHR, but the current circumstances are also promising. It is considered that this study will serve as a baseline for future measurements and produce a notable result for decision-makers.

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Human Factors of EHR Adoption in Saudi Primary Healthcare

Cited by 3 publications

References 0 publications

Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems

Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems

Insights into the current state of electronic health records adoption and utilisation in Tanzanian public primary healthcare facilities: a survey study

Electronic Health Record Adoption in Oral and Dental Health Centres in Turkey

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