• 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 Society of Archives and Records Management
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• v.13 no.3
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• pp.151-171
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• 2013

To comprehend the importance and necessity of record management metadata standard implemented in an electronic medical records system, a survey was undertaken to 50 medical records managers in charge of 5 major hospitals in Seoul. Analysis of the survey results was performed by averaging the responses given by those who answered the survey. SPSS was utilized for statistical analysis. Managers of medical records placed importance on metadata that are related to security of records, such as "levels of security", "types of access to medical records", "levels of authorization granted to personnel", and "users accessing medical records". It shows that these managers need the functions of privacy protection in ERMS. Metadata on "external disclosure" had the lowest level but those surveyed with more than 7 years of experience placed greater importance in this area more those surveyed with less than 7 years of experience in a hospital. This shows that managers need the functions of external disclosure to meet the needs of third partiesfor medical research and medical education.

• Journal of muscle and joint health
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• v.26 no.1
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• pp.27-34
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• 2019

Purpose: This study was done to analyze nursing assessment and nursing care for pain in the electronic nursing records for the elderly patients with abdominal pain visiting the Emergency Medical Center. Methods: This study is a descriptive study based on nursing records from January to December 2015. A total of 1155 records for elderly patients with abdominal pain were gathered. Results: The mean age of elderly patients whose records were analyzed was 75.2 years. Analysis of nursing records regarding pain management showed that semi-urgent severity (93.7%), direct emergency room visits (58%), and 6.01 hours of emergency room stay (6.01 hours)were the most frequently documented characteristics of the elderly patients with pain complaints. Recording time of nursing assessment for abdominal patients was 1.01 hour; the average pain intensity was 3.97. The mostly used nursing intervention for abdominal pain was medication (65.1%). There was no record of non-pharmacological pain nursing interventions. Conclusion: The results of this study showed that improving knowledge and nursing practice for pain management is much of necessity. In particular, development of the non-pharmacological nursing interventions for pain is needed. Further research is also imperative to develop and evaluate record systems for pain management that can be used in the emergency room.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.29 no.2
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• pp.92-100
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• 2011

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1218-1221
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• 2011

The development of the internet and information management has enabled new applications which include: Electronic medical record (EMR), intelligent transportation, environmental monitoring, etc. In this paper, we design and implement the Continuity Care Record(CCR) Data Stream management server that compiled with DSMS and DBMS in EMR system for processing, monitoring the incoming CCR data stream and storing the processed result with high-efficiency. The proposed system enables users not only to query stored CCR information from DBMS, but also enables to execute continue query for the real-time CCR Data Stream. By using of CCR Viewer Application users can view or update their personal health records even compare self health care records with standard health care records in order to monitor the healthy status, and the on line updating information would be minimized and medical error.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.731-736
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• 2023

Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.

• Genomics & Informatics
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• v.11 no.4
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• pp.186-190
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• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.539-548
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• 2022

Objectives: The purpose of this study was to assess the organizational effectiveness of the introduction of a healthcare information system (electronic medical records and databases) in healthcare in Kazakhstan. Methods: The authors used a combination of 2 methods: expert assessment and strengths, weaknesses, opportunities, and threats (SWOT) analysis. SWOT analysis is a necessary element of research, constituting a mandatory preliminary stage both when drawing up strategic plans and for taking corrective measures in the future. The expert survey was conducted using 2 questionnaires. Results: The study involved 40 experts drawn from specialists in primary healthcare in Aktobe: 15 representatives of administrative and managerial personnel (chief doctors and their deputies, heads of medical statistics offices, organizational and methodological offices, and internal audit services) and 25 general practitioners. Conclusions: The following functional indicators of the medical and organizational effectiveness of the introduction of information systems in polyclinics were highlighted: first, improvement of administrative control, followed in descending order by registration and movement of medical documentation, statistical reporting and process results, and the cost of employees' working time. There has been no reduction in financial costs, namely in terms of the costs of copying, delivery of information in paper form, technical equipment, and paper.

• The Journal of Korean Medicine
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• v.40 no.1
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• pp.86-98
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• 2019

Objectives: This study analyzes the electronic medical record (EMR) data of the spine specialist oriental hospital and clinic in various regions, and reports the actual number and used cases of Chuna therapy. Methods: 2,470,772 data was extracted retrospectively from electronic medical records of all inpatients and outpatients who were treated chuna therapy at 21 Korean medicine hospitals and clinics from January 1, 2018 to December 31, 2018. The characteristics of medical treatment using chuna therapy reflect the minimum, maximum and average values of the number of hospitalized patients, length of hospitalization, frequency of hospitalization, number of outpatients, frequency of treatment and frequency of visit. Diseases were classified in the proportion of Chuna treatment according to the KCD, 7th edition. The chuna and blindness charts were derived accordingly from illness and disease of each part of the body. Results: During the study period, a total 1,342,022 inpatients and outpatients visited the study sites. The male proportion was a little higher than the females' (male: 53.7%, female: 46.3%). According to age, the 30s and 40s were more than half the total(30s: 33.0% and 40s: 20.1%). Chuna therapy was treated to more outpatients than hospitalized patients (outpatient: 83.6%, hospitalization: 16.4%), and most treatments were related to musculoskeletal illness(99.06%). Conclusions: As a result of this study, 1,342,389 chuna therapy was performed in 21 hospitals for one year. As highly demanded by the public, we look forward to ensuring national health care options and medical access when health insurance for chuna therapy is applied beginning March 2019.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.26 no.1
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• pp.1-11
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• 2019

Purpose: The goal was to use electronic health records to identify factors and outcomes associated with falls among patients admitted to hematology units. Methods: This retrospective case-control study included data from a tertiary university hospital. Analysis was done of records from 117 patients with a history of falls and 201 patients with no history of falls who were admitted to the hematology unit from January 1, 2013 to December 31, 2014. Risk factors were analyzed using hierarchical logistic regression; patient outcomes were analyzed using multiple logistic regression, Cox proportional hazards regression, and multiple linear regression. Results: Clinical factors such as self-care nursing (OR=4.47, CI=1.64~12.11), leukopenia (OR=6.03; CI=2.51~14.50), and hypoalbuminemia (OR=2.79, CI=1.31~5.96); treatment factors such as use of narcotics (OR=2.06, CI=1.01~4.19), antipsychotics (OR=3.05, CI=1.20~7.75), and steroids (OR=4.51, CI=1.92~10.58); and patient factors such as low education (OR=3.16, CI=1.44~6.94) were significant risk factors. Falls were also associated with increased length of hospital stay to 21.58 days (p<.001), and healthcare costs of 17,052,784 Won (p<.001). Conclusion: These findings can be a resource for fall prevention education and to help develop fall risk assessment tools for adults admitted to hematology units.