• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.456-462
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• 2011

As the ARRA enacted recently in the United States, the interest in EHR systems have been increased in the field of medical industry. The passage of the ARRA presents a program that provides incentives to office-based physicians and hospitals adapting the EHR systems to guarantee interoperability with various medical standards. Thanks to the incentive program, a great number of EHR systems have been developed and lots of office-based physicians and hospitals have adapted the EHR systems certified by CCHIT. Keeping pace with the rapid changes in the market of healthcare, some enterprises try to push in to the United States healthcare market based on the experience acquired by developing EHR systems for hospitals in Korea. However, the developed system must be customized because of the different medical environment between Korea and the United States. In this paper, therefore, we design and develop an integrated EHR platform to guarantee the interoperability between different medical information systems based on medical standard technologies. In the developed platform, an integrated system has been composed by integrating various basic techniques such as data transmission standards and its methods, medical standard terminologies and its usage, and knowledge management for medical decision-making support. Moreover, medical data can be processed electronically by adapting an HL7 interface engine and the terminologies for exchanging medical information and the standardization of medical information. We develop SeniCare, an EHR system for supporting ambulatory care of the office-based physicians, based on the platform, and we verify the usability of the platform by confirming whether SeniCare satisfies the criteria of "meaningful use" issued by CMS or not.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.217-229
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• 2018

Electronic Health Record (EHR) systems are widely adopted worldwide in hospitals for generating and exchanging records of patient information. Recent developments are moving towards implementing interoperable EHR systems that enable information to be shared seamlessly across healthcare organizations. In this context, this paper explores the factors that cause medical information privacy concerns, identifies how people react to privacy invasion and what their perceptions are towards the acceptance of the EHR system. Interviews were conducted to draw a grounded theory on medical information privacy concerns in the use of EHRs. Medical information privacy concerns are caused by perceived sensitivity of medical information and the weaknesses in security technologies. Trust in medical professionals, medical institutions and technologies plays an important role in determining people's reaction to privacy invasion and their perceptions on the use of EHRs.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.25-31
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• 2015

Smart healthcare environments which merge medical and IT technology are getting ready for the third generation centering EHR from current second generation. As a basic technology for the introduction and activation of EHR systems it requires heterogeneous network interworking techniques between various wired and wireless medical devices. Interworking technology for heterogeneous network among various medical devices is needed to introduce EHR system. The heterogeneous network interworking technology is needed for construction of a reliable data system to convert each of unstructured data into structured data. Therefore, in this paper, we identify the domestic and international trends of smart medical field and analyze the characteristics of wired and wireless communication technology that is used in a heterogeneous network. and also suggest requirements needed for interworking technology and provide interworking technology based on them. we expect that proposed method which is designed for smart healthcare environments would provide a basic architecture needed for third smart medical technology generation.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.450-451
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• 2012

The need of Clinical Decision Support System (CDSS) in healthcare setup is increasing day by day. EHR Meaningful Use advocates CDSS as an important component of EHR/EMR systems. CDSS can be ranged from a simple to a very sophisticated system. The more complex CDSS systems need more attention to develop because of many reasons including its Knowledge Base (KB) structure/maintenance/evolution, inference capabilities and usability. Above all the KB maintenance and evolution is very crucial and important from the perspective of useful decision capabilities. Also the richness of the KB is important to cover the decision gaps handling a particular situation in the course of patient care. It cannot be expected from the clinicians to remember everything in regard to patient diagnosis and treatment. Similarly, it is also crucial for clinicians to keep themselves updated with the new research in the area. That is the reason they frequently require accessing to the online knowledge resources. Literature proved that online knowledge resources are capable providing answers to questions that might not be answered rely only on clinician wisdom and experience. This paper provides the theme of meaningful utilization of online knowledge resources in the context of diagnosis and treatment process for cancer patients more specifically Head and Neck cancer.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.4
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• pp.158-165
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• 2008

LOINC (Logical Observation Identifiers Names and Codes) is a database and universal standard for identifying laboratory and clinical test results that is developed and maintained by Regenstrief Institute. Exchanging laboratory test results is one of the most important area in EHR system and the terminology for laboratory test results has to be standardized. In this paper, we present a pre-preprocessing tool that converts a local database in healthcare organizations to LMOF format LMOF format is required by RELMA and our work helps mapping laboratory test results to LOINC very efficiently Our proposed tool provided user friendly interface and 15% keyword reduction in RELMA search compared to no pre-processing RELMA search.

• IE interfaces
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• v.20 no.2
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• pp.177-185
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• 2007

e-Business in healthcare sector has been called e-Health, which is evolving into u-Health with advances of ubiquitous technologies. Seamless information sharing among health organizations is being discussed in many nations including USA, UK, Australia and Korea. Efforts for establishing the electronic health record (EHR) system and a nation-wide information sharing environment are called NHII (National Health Information Infrastructure) initiatives. With the advent of u-Health and progress of health information systems, information security issues in healthcare sector have become a very significant problem. In this paper, we analyze several issues on health information security occurring in u-Health environment and develop an information security standard for protecting health information. It is expected that the standard proposed in this work could be established as a national standard after sufficient reviews by information security experts, stakeholders in healthcare sector, and health professionals. Health organizations can establish comprehensive information security systems and protect health information more effectively using the standard. The result of this paper also contributes to relieving worries about privacy and security of individually identifiable health information brought by NHII implementation and u-Health systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.470-471
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• 2013

Accuracy of mappings is the key for achieving true interoperability among different healthcare systems. The initial step towards interoperable healthcare systems is compliancy with healthcare standards (HL7, openEHR, CEN 13606). Ontologies for these standards are developed that require ontology matching to generate generalized ontology mappings. Organizations conform to specific concepts of different standards based on their requirements. This step is called as conformance claims and is based on Personalized-Detailed Clinical Model. It invalidates some of the generalized mappings because of non-conformed concepts and leads to the necessity of the proposed technique of customized ontology mappings. These customized ontology mappings compliment the generalized ontology mapping to increase the level of accuracy of mappings and thus achieving data interoperability. The proposed system ensures quality of care to patients by timely delivery of healthcare information.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.327-334
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• 2018

Objectives: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. Methods: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. Results: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003-1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150-1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317-4.135; p = 0.004). Conclusions: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.

• Journal of Korean Clinical Nursing Research
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• v.19 no.3
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• pp.345-356
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• 2013

Purpose: To provide clear estimates of the adoption and use of electronic nursing records (ENRs) with standard terminology in Korea and identification of the scope and use as well as perceived or potential benefits of ENRs. Methods: A survey was done of 733 hospitals at three levels: tertiary advanced hospitals, general hospitals, and community hospitals. After performing a literature review a modified version of an existing survey tool was used for 2 months in 2012. The collected information related to EHR functionality and coverage of nursing documentation and nursing process, application of standard terminology, and perceived satisfaction and benefits of ENRs. Results: The response rate was 39.4% (289/733), and 202 hospitals (70.1%, 95% CI64.8~75.5%) of the respondents had ENR systems (82.5% of tertiary hospitals, 66.7% of general hospitals, and 70.1% of community hospitals). Out of these hospitals less than 10% had ENRs fully covering nursing documentation. The adoption rate of standard terminology was 55%, and hospital satisfaction with ENRs was 70%. But personalized care was identified as needing improvement in ENRs. Conclusion: The ENR adoption rate was high but there are many potential opportunities for improving ENR systems in terms of the data standardization and personalized care.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3313-3332
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• 2022

This study is an investigation into the factors affecting patient dissatisfaction among Saudi hospitals. The selected factors considered for analysis are security of information sharing, operational practices, disruptive technologies, and the ease of use of EHR patient information management systems. From the literature review section, it was clear that hardly any other studies have embraced these concepts in one as was intended by this study. The theories that the study heavily draws from are the service dominant logic and the feature integration theory. The study surveyed 350 respondents from three large major hospitals in three different metropolitan cities in the Kingdom of Saudi Arabia. This sample came from members of the three hospitals that were willing to participate in the study. The number 350 represents those that successfully completed the online questionnaire or the limited physical questionnaires in time. The study employed the structural equation modelling technique to analyze the associations. Findings suggested that security of information sharing had a significant direct effect on patient satisfaction. Operational practice positively mediated the effect of security of information sharing on patient dissatisfaction. However, ease of use failed to significant impact this association. The study concluded that to improve patient satisfaction, Saudi hospitals must work on their systems to reinforce them against the active threats on the privacy of patients' data by leveraging disruptive technology. They should also improve their operational practices by embracing quality management techniques relevant to the healthcare sector.