Esdar, M., Hüsers, J., Weiß, J. P., Rauch, J., & Huebner, U. (2019). Diffusion dynamics of electronic health records: A longitudinal observational study comparing data from hospitals in Germany and the United States. International journal of medical informatics, 131, 103952.
Esdar et al. wrote the article referenced above in 2019 in the International journal of medical informatics. Indeed when it comes to strategic marketing and general overlook into electronic health records, the authors exude a critical scientific view by undertaking a longitudinal observational study that compared data from hospitals in Germany and the United States. While both Germany and the United States sought to create a national eHealth infrastructure, the authors have emphasized that they adopted different strategies, particularly regarding encouraging the adoption and use of hospital electronic health records (EHR). The objective of this study was, therefore, to To determine the adoption of EHRs in German hospital care; the study aimed to assess and analyze the dynamics of their spread and compare the findings with developments in the US, all acute care hospitals that were participants in the German statutory health system were questioned between 2007 and 2017. Some results included but were not limited to that EHR diffusion in Germany stalled with adoption rates of about 50% (imitation effect q = -0.544) despite a higher innovation effect (p = 0.303). At the same time, the dynamics observed in the US resembled the typical s-shaped curve with high imitation effects (q = 0.583) but with a relatively low innovation effect (p = 0.025).
Freij, M., Dullabh, P., Lewis, S., Smith, S. R., Hovey, L., & Dhopeshwarkar, R. (2019). Incorporating social determinants of health in electronic health records: a qualitative study of current practices among top vendors. JMIR medical informatics, 7(2), e13849.
Freij et al. (2019) investigated the development of electronic health record (EHR) software products that incorporate social determinants of health (SDH). They interviewed six EHR vendors with large market shares and conducted a thematic analysis of the interviews. The findings suggest that vendors are developing products to facilitate their clients’ collection and use of SDH data and are seeking solutions to data standardization and interoperability challenges. However, there must be more policy standards around SDH data, and product-specific decisions may become de facto policies, given the market shares of particular vendors. Vendors recognize the need for more standardization of SDH performance measures across various federal and state programs, better mapping of SDH measures to multiple types of codes, and the development of more regulations for all SDH measures of interest. Commercial vendors appear ready to collaboratively discuss policy solutions such as standards or guidelines with each other, health care systems, and government agencies.
Hamadi, H. Y., Niazi, S. K., Zhao, M., & Spaulding, A. (2022). Single-vendor electronic health record use is associated with more significant organizational and clinical care improvement opportunities. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 6(3), 269-278.
Hamadi et al. (2022) evaluated the utilization of clinical and organizational assessment skills by hospitals that use single-vendor vs. best-of-breed electronic health record (EHR) suppliers. The Medicare Final Rule Standardizing File and the 2018 American Hospital Association Information Technology Supplement Survey were used as data sources. Hospitals with single-vendor EHRs were more likely to employ EHRs for clinical care and organizational evaluation capabilities, according to a multinomial logistic regression analysis of hospitals (n=1902). Unlike government nonfederal hospitals, not-for-profit hospitals were likelier to adopt EHRs for all organizational evaluation capacities. Compared to government nonfederal hospitals, for-profit hospitals were less likely to use EHRs for administrative or clinical evaluation skills. According to the study’s findings, hospitals that used a single-vendor EHR system had higher rates of clinical care and organizational evaluation than hospitals that did not.
Jung, S. Y., Lee, K., Lee, H. Y., & Hwang, H. (2020). Barriers and facilitators to implementing nationwide electronic health records in the Russian Far East: A qualitative analysis. International Journal of Medical Informatics, 143, 104244.
Jung, S. Y., Lee, K., Lee, H. Y., & Hwang, H. (2020) conducted a qualitative analysis to investigate and analyze the current status of Electronic Health Records (EHRs) in the Russian Far East. The study was based on semi-structured interviews with healthcare professionals and administrative officers in the Russian Far East. The study aimed to identify the barriers and facilitators to implementing nationwide EHRs. The study revealed six significant barriers: a lack of communication, poor infrastructure, and resistance to a new system. The study also identified five important facilitators: strategic government planning, willingness to use new functions, and well-established work processes. The study’s results will help support the successful introduction of EHRs in the Russian Far East by considering the experiences of developed countries that have already successfully introduced EHRs.
Keshta, I., & Odeh, A. (2021). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal, 22(2), 177-183.
In their work published in the Egyptian Informatics Journal in 2021, authors Keshta, I., and Odeh, A., explore the security and privacy issues with electronic health records (EHRs). They emphasize the significance of maintaining the EHRs’ confidentiality, integrity, and accessibility to guard against unwanted access, data loss, or change. The authors list the main security risks faced by EHRs, including cyberattacks, data breaches, and insider threats. They suggest several mitigating measures, including access restriction, data encryption, and routine security audits. They also stress the significance of staff training, patient education, and regulatory compliance in preserving the security and privacy of EHRs. The paper offers a thorough overview of the issues affecting the protection and confidentiality of EHRs and possible remedies.
Klecun, E., Zhou, Y., Kankanhalli, A., Wee, Y. H., & Hibberd, R. (2019). The dynamics of institutional pressures and stakeholder behavior in national electronic health record implementations: A tale of two countries. Journal of Information Technology, 34(4), 292-332.
Klecun et al. (2019) present a framework that utilizes stakeholder and institutional theories to analyze the implementation of electronic health record systems in Singapore and England. The study examines the complex dynamics of stakeholder interactions and institutional pressures during electronic health record implementation. The results suggest that boundary spanners and greater engagement with medical professionals were associated with more positive dynamics of stakeholder interactions in Singapore than in England. Differences in healthcare structures and systems, electronic health record project organization, and institutional pressures shed light on the two cases’ varying implementation paths and outcomes. The study contributes to the health information technology literature through a comparative examination of the organizational and social processes during complex national healthcare integration projects. It also adds to the institutional and stakeholder literatures by depicting the processes and outcomes of the dynamics of isomorphic pressures played out under different institutional conditions. The proposed framework provides a useful conceptual tool for analyzing complex IT implementations across multiple stakeholders.
Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research, 123, 557-567.
Kraus et al. (2021) conducted a systematic literature review to assess the state of digital transformation in healthcare. They identify five clusters of research related to the implementation of digital technologies: operational efficiency, patient-centered approaches, organizational factors, workforce practices, and socio-economic aspects. The authors present a model showing how these clusters lead to operational efficiencies for healthcare providers. They offer directions for future research and management implications. The article emphasizes the importance of digital transformation in healthcare for scholars and practitioners. It provides a comprehensive overview of current research on digital transformation in healthcare. The article is published in the Journal of Business Research and contains ten pages.
Magalhães, D., Martins, J., Branco, F., Au‐Yong‐Oliveira, M., Gonçalves, R., & Moreira, F. (2020). A proposal for a 360 information system model for private health care organizations. Expert Systems, 37(5), e12420.
Magalhães et al. (2020) propose a 360 information system model for private healthcare organizations to leverage the benefits of using patients’ electronic health records (EHRs) for personalized healthcare. The model was validated through a focus group of health-related professionals. Concerns about security and privacy levels were highlighted despite the recognition of the potential benefits of EHR. The proposed model aims to trigger patient/customer loyalty and comprises functional blocks such as data collection, storage, processing, analysis, and dissemination. The model emphasizes the importance of personalized health care and proposes using patient-centered data. The authors suggest that their proposed model could help private healthcare organizations evolve their business processes in line with the current communication trends, new media, and digitalization.
Paré, G., Marsan, J., Jaana, M., Tamim, H., & Lukyanenko, R. (2020). IT vendors’ legitimation strategies and market share: The case of EMR systems. Information & Management, 57(5), 103291.
In 2020, Paré, G., Marsan, J., Jaana, M., Tamim, H., and Lukyanenko examined the market share effects of suppliers of information technology (IT) providers’ legitimation tactics. The study examined 815 segments taken from the websites of the leading electronic medical record (EMR) vendors in Ontario, Canada. The findings demonstrated that whereas regulative and normative techniques were weakly represented in the discourses of the EMR vendors, cognitive and pragmatic types of legitimacy were significantly represented. It was unclear how legitimation tactics and market share were related. The paper explains how it might affect both practice and further study. The study helps us understand how IT providers gain market acceptance for their goods.
Shashi, M. (2022). Leveraging Blockchain-Based Electronic Health Record Systems in Healthcare 4.0. International Journal of Innovative Technology and Exploring Engineering, 12.
Shashi (2022) discusses the significance of digitalization in healthcare 4.0 and its impact on electronic health record (EHR) systems. The author highlights the role of blockchain technology in enhancing the privacy and security of EHRs. Blockchain-based systems offer a more efficient and secure option than traditional client-server architecture-based EHR systems. The paper discusses various blockchain applications in healthcare, including health information exchange, pharmaceutical counterfeit, clinical trials, health supply chain management, patient data management, insurance claims, and product recall in case of adverse events. Blockchain technology helps transform modern healthcare into more personalized and predictive by supporting coordination among various stakeholders and seamless information flow in the patient journey toward well-being. Timely sharing of patient data across different providers globally enhances patient care and makes the electronic system vulnerable to alteration and breaches.
References
Esdar, M., Hüsers, J., Weiß, J. P., Rauch, J., & Huebner, U. (2019). Diffusion dynamics of electronic health records: A longitudinal observational study comparing data from hospitals in Germany and the United States. International journal of medical informatics, 131, 103952.
Freij, M., Dullabh, P., Lewis, S., Smith, S. R., Hovey, L., & Dhopeshwarkar, R. (2019). Incorporating social determinants of health in electronic health records: a qualitative study of current practices among top vendors. JMIR medical informatics, 7(2), e13849.
Hamadi, H. Y., Niazi, S. K., Zhao, M., & Spaulding, A. (2022). Single-vendor electronic health record use is associated with greater organizational and clinical care improvement opportunities. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 6(3), 269-278.
Jung, S. Y., Lee, K., Lee, H. Y., & Hwang, H. (2020). Barriers and facilitators to implementing nationwide electronic health records in the Russian Far East: A qualitative analysis. International Journal of Medical Informatics, 143, 104244.
Keshta, I., & Odeh, A. (2021). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal, 22(2), 177-183.
Klecun, E., Zhou, Y., Kankanhalli, A., Wee, Y. H., & Hibberd, R. (2019). The dynamics of institutional pressures and stakeholder behavior in national electronic health record implementations: A tale of two countries. Journal of Information Technology, 34(4), 292-332.
Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research, 123, 557-567.
Magalhães, D., Martins, J., Branco, F., Au‐Yong‐Oliveira, M., Gonçalves, R., & Moreira, F. (2020). A proposal for a 360 information system model for private health care organizations. Expert Systems, 37(5), e12420.
Paré, G., Marsan, J., Jaana, M., Tamim, H., & Lukyanenko, R. (2020). IT vendors’ legitimation strategies and market share: The case of EMR systems. Information & Management, 57(5), 103291.
Shashi, M. (2022). Leveraging Blockchain-Based Electronic Health Record Systems in Healthcare 4.0. International Journal of Innovative Technology and Exploring Engineering, 12.
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