Successfully Choosing Your EMR: 15 Crucial Decisions.
Healthcare Informatics Research.2010;16(3):198-199. doi:10.4258/hir.2010.16.3.198
No abstract available.
Healthcare Informatics Research
1995 to Present ISSN: 2093-3681
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Asan Medical Information System for Healthcare Quality Improvement.
Healthcare Informatics Research.2010;16(3):191-197. doi:10.4258/hir.2010.16.3.191
OBJECTIVES: This purpose of this paper is to introduce the status of the Asan Medical Center (AMC) medical information system with respect to healthcare quality improvement. METHODS: Asan Medical Information System (AMIS) is projected to become a completely electronic and digital information hospital. AMIS has played a role in improving the health care quality based on the following measures: safety, effectiveness, patient-centeredness, timeliness, efficiency, privacy, and security. RESULTS: AMIS consisted of several distinctive systems: order communication system, electronic medical record, picture archiving communication system, clinical research information system, data warehouse, enterprise resource planning, IT service management system, and disaster recovery system. The most distinctive features of AMIS were the high alert-medication recognition & management system, the integrated and severity stratified alert system, the integrated patient monitoring system, the perioperative diabetic care monitoring and support system, and the clinical indicator management system. CONCLUSIONS: AMIS provides IT services for AMC, 7 affiliated hospitals and over 5,000 partners clinics, and was developed to improve healthcare services. The current challenge of AMIS is standard and interoperability. A global health IT strategy is needed to get through the current challenges and to provide new services as needed.
Decision Support Systems, Clinical ; Delivery of Health Care ; Disasters ; Electronic Health Records ; Electronics ; Electrons ; Hospital Information Systems ; Information Systems ; Monitoring, Physiologic ; Privacy ; Quality of Health Care
Decision Support Systems, Clinical ; Delivery of Health Care ; Disasters ; Electronic Health Records ; Electronics ; Electrons ; Hospital Information Systems ; Information Systems ; Monitoring, Physiologic ; Privacy ; Quality of Health Care
Healthcare Informatics Research.2010;16(3):185-190. doi:10.4258/hir.2010.16.3.185
OBJECTIVES: In this study, we proposed an algorithm for mapping standard terminologies for the automated generation of medical bills. As the Korean and American structures of health insurance claim codes for laboratory tests are similar, we used Current Procedural Terminology (CPT) instead of the Korean health insurance code set due to the advantages of mapping in the English language. METHODS: 1,149 CPT codes for laboratory tests were chosen for study. Each CPT code was divided into two parts, a Logical Observation Identifi ers Names and Codes (LOINC) matched part (matching part) and an unmatched part (unmatched part). The matching parts were assigned to LOINC axes. An ontology set was designed to express the unmatched parts, and a mapping strategy with Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) was also proposed. Through the proceeding analysis, an algorithm for mapping CPT with SNOMED CT arranged by LOINC was developed. RESULTS: 75% of the 1,149 CPT codes could be assigned to LOINC codes. Two hundred and twenty-five CPT codes had only one component part of LOINC, whereas others had more than two parts of LOINC. The system of LOINC axes was found in 309 CPT codes, scale 555, property 9, method 42, and time aspect 4. From the unmatched parts, three classes, 'types', 'objects', and 'subjects', were determined. By determining the relationship between the classes with several properties, all unmatched parts could be described. Since the 'subject to' class was strongly connected to the six axes of LOINC, links between the matching parts and unmatched parts were made. CONCLUSIONS: The proposed method may be useful for translating CPT into concept-oriented terminology, facilitating the automated generation of medical bills, and could be adapted for the Korean health insurance claim code set.
Current Procedural Terminology ; Insurance, Health ; Logic ; Logical Observation Identifiers Names and Codes ; Systematized Nomenclature of Medicine ; Translating
Current Procedural Terminology ; Insurance, Health ; Logic ; Logical Observation Identifiers Names and Codes ; Systematized Nomenclature of Medicine ; Translating
Healthcare Informatics Research.2010;16(3):177-184. doi:10.4258/hir.2010.16.3.177
OBJECTIVES: This study was designed to compare the data from the emergency department syndromic surveillance system of Korea in detection and reporting of acute diarrheal syndrome (mass type) with the data from the Korea Food and Drug Administration. And to offer fundamental materials for making improvements in current surveillance system was our purpose. METHODS: A study was conducted by reviewing the number of cases reported as acute diarrheal syndrome (mass type) from the Korean Center for Disease Control and Prevention between June, 2002 and July, 2008. And the data were compared with the number of mass food poisoning cases during the same period, reported from the Korea Food and Drug Administration. The difference between two groups was measured and their transitions were compared. RESULTS: The emergency department syndromic surveillance system's reports of the numbers of acute diarrheal syndrome (mass type) cases were different from the transition of mass food poisonings, reported by the Korea Food and Drug Administration. Their reports were not accurate and they could not follow the trends of increase in mass food poisonings since 2002. CONCLUSIONS: Current problems in the emergency department syndromic surveillance system in Korea are mostly related to inaccuracies of daily data reporting system. Manual data input by the reporters could play a big role in such inaccuracies. There need to be improvements in the ways of reporting data, such as automated information transport system linking electronic medical record.
Centers for Disease Control and Prevention (U.S.) ; Diarrhea ; Electronic Health Records ; Emergencies ; Foodborne Diseases ; Korea ; Research Design ; United States Food and Drug Administration
Centers for Disease Control and Prevention (U.S.) ; Diarrhea ; Electronic Health Records ; Emergencies ; Foodborne Diseases ; Korea ; Research Design ; United States Food and Drug Administration
Status and Problems of Adverse Event Reporting Systems in Korean Hospitals.
Healthcare Informatics Research.2010;16(3):166-176. doi:10.4258/hir.2010.16.3.166
OBJECTIVES: This study identifies the current status and problems of adverse event reporting system in Korean hospitals. The data obtained from this study will be used to raise international awareness and enable collaborative researches on patient safety. METHODS: We distributed the questionnaire developed by the Agency for Healthcare Research and Quality (AHRQ), USA to the 265 risk managers of hospitals by e-mail. Seventy-two percent of the risk managers responded to the inquiry. RESULTS: Eighty-five percent of the hospitals responded that they collect information regarding the event where harm has occurred or might have occurred to a patient. Seventy-five percent of the hospitals did not allow individuals to report occurrences without identifying themselves. Only 54% of the hospitals had an organized patient safety program that manages or coordinates all of the hospital's patient safety activities. The most frequent reason why errors were not reported was the fear of individuals being involved in the investigation and potential disadvantage resulting from it. Eighty-five percent of the hospitals produced reports of their adverse event data, but 68% of the hospitals did not distribute occurrence reports within the hospital. CONCLUSIONS: Lack of standardized reporting system, available information, procedures for protecting the reporting individuals, and mindlessness/indifference of the hospital employees are identified as the major problems. Therefore, it is crucial to address these problems to develop appropriate solutions, enable proactive involvement from the healthcare community, and change the overall patient safety culture, specifically protecting privacy, to increase the quality of service in the healthcare industry.
Delivery of Health Care ; Electronic Mail ; Health Care Sector ; Health Services Research ; Humans ; Patient Safety ; Privacy ; Surveys and Questionnaires
Delivery of Health Care ; Electronic Mail ; Health Care Sector ; Health Services Research ; Humans ; Patient Safety ; Privacy ; Surveys and Questionnaires
Healthcare Informatics Research.2010;16(3):158-165. doi:10.4258/hir.2010.16.3.158
OBJECTIVES: To develop and evaluate time series models to predict the daily number of patients visiting the Emergency Department (ED) of a Korean hospital. METHODS: Data were collected from the hospital information system database. In order to develop a forecasting model, we used, 2 years of data from January 2007 to December 2008 data for the following 3 consecutive months were processed for validation. To establish a Forecasting Model, calendar and weather variables were utilized. Three forecasting models were established: 1) average; 2) univariate seasonal auto-regressive integrated moving average (SARIMA); and 3) multivariate SARIMA. To evaluate goodness-of-fit, residual analysis, Akaike information criterion and Bayesian information criterion were compared. The forecast accuracy for each model was evaluated via mean absolute percentage error (MAPE). RESULTS: The multivariate SARIMA model was the most appropriate for forecasting the daily number of patients visiting the ED. Because it's MAPE was 7.4%, this was the smallest among the models, and for this reason was selected as the final model. CONCLUSIONS: This study applied explanatory variables to a multivariate SARIMA model. The multivariate SARIMA model exhibits relativelyhigh reliability and forecasting accuracy. The weather variables play a part in predicting daily ED patient volume.
Crowding ; Emergencies ; Emergency Medical Services ; Forecasting ; Hospital Information Systems ; Humans ; Models, Statistical ; Seasons ; Weather
Crowding ; Emergencies ; Emergency Medical Services ; Forecasting ; Hospital Information Systems ; Humans ; Models, Statistical ; Seasons ; Weather
A Meta-Analysis on the Effectiveness of Computer-Based Education in Nursing.
Healthcare Informatics Research.2010;16(3):149-157. doi:10.4258/hir.2010.16.3.149
OBJECTIVES: The purpose of this study was to conduct a comparative analysis of education effectiveness between computer-based education and traditional education methods in nursing. METHODS: Medical and nursing literature databases were searched to identify studies regarding the effectiveness of computer-based education in nursing. Overall effect sizes for three outcome variables (knowledge, attitude, and practice level) were calculated. The effects of study characteristics on the outcome variables were analyzed. RESULTS: Twenty-seven studies published from 1990 to February 2009, which that met the inclusion criteria, were included in the analysis. The meta-analysis showed that computer-based education generally had positive effects on knowledge, attitude, and practice, with overall effect sizes of 0.43, 0.35, and 0.34, respectively. This study also showed that the type of learner and the total education period had different effects on knowledge. CONCLUSIONS: This metaanalysis found that computer-based education in nursing had positive effects on knowledge, attitude, and practice.
A New Method for Non-Invasive Measurement of Skin in the Low Frequency Range.
Healthcare Informatics Research.2010;16(3):143-148. doi:10.4258/hir.2010.16.3.143
OBJECTIVES: The purpose of our study was to estimate skin structure and conductivity distribution in a cross section of local tissue using non-invasive measurement of impedance data. The present study was designed to evaluate the efficiency of skin depth information through computer simulations. The multilayer tissue model was composed of epidermis, dermis tissues, and subcutaneous. METHODS: In this study, electrical characteristics of skin models were used for conductivity of 0.13 S/m, 0.26 S/m, 0.52 S/m, permittivity of 94,000 F/m, and a frequency of 200 Hz. The effect of the new method was assessed by computer simulations using three-electrode methods. A non-invasive electrical impedance method has been developed for analysis using computer simulation and a skin electrical model with low frequency range. Using the three-electrode method differences through the potentials between measurement electrodes and reference electrodes can be easily detected. The Cole electrical impedance model, which is better suited for skin was used in this study. RESULTS: In this study, experiments using three-electrode methods were described by computer simulation based on a simple model. This electrical impedance model was fitted and developed in comparison with our model for measurement of skin impedance. CONCLUSIONS: The proposed electrical model for skin is suitable for use in interpretation of changes in impedance characterization of the skin. Using the computer simulation method, information on skin impedance depth can be more accurately developed and predicted.
Computer Simulation ; Dermis ; Electric Impedance ; Electrodes ; Epidermis ; Skin
Computer Simulation ; Dermis ; Electric Impedance ; Electrodes ; Epidermis ; Skin
Healthcare Informatics Research.2012;18(3):231-233. doi:10.4258/hir.2012.18.3.231
No abstract available.
Telemedicine
Telemedicine
eNotification: Adapting eReferral for Public Health Notifiable Disease Reporting in New Zealand.
Healthcare Informatics Research.2012;18(3):225-230. doi:10.4258/hir.2012.18.3.225
OBJECTIVES: New Zealand is currently implementing a standard for the electronic referral of patients from primary care to District Health Board (DHB) provided specialist services (eReferral). Medical Officers of Health working within DHB public health services receive referrals through a legally mandated disease notification system. Although laboratories have reported notifiable diseases electronically since 2007 clinical and risk factor information are still reported by fax or telephone. This paper describes a project that aims to adapt eReferral for public health purposes. METHODS: A work group of Medical Officers of Health was convened to develop criteria for priority disease selection and to develop data and functional requirements. RESULTS: Eleven out of 52 notifiable diseases were selected based on potential to improve public health response and or make referral easier for medical practitioners. In addition to identifiers and demographics data requirements included: symptom onset date, occupation and place of work (or other day time location) and workplace name. The work group specified that most enteric disease eReferrals should be triggered by a positive laboratory test. Vaccine preventable disease eReferrals should occur at the time of relevant laboratory test order. CONCLUSIONS: The project is at an early stage and consultation with referrers has been limited. The next stage will require working closely with referring doctors to resolve practical issues with occupation coding, to minimize practice workflow change, and to maintain consistency with other eReferral processes.
Clinical Coding ; Demography ; Disease Notification ; Electronic Health Records ; Electronics ; Electrons ; Humans ; Hypogonadism ; Mitochondrial Diseases ; New Zealand ; Occupations ; Ophthalmoplegia ; Population Surveillance ; Primary Health Care ; Public Health ; Referral and Consultation ; Risk Factors ; Specialization ; Telephone
Clinical Coding ; Demography ; Disease Notification ; Electronic Health Records ; Electronics ; Electrons ; Humans ; Hypogonadism ; Mitochondrial Diseases ; New Zealand ; Occupations ; Ophthalmoplegia ; Population Surveillance ; Primary Health Care ; Public Health ; Referral and Consultation ; Risk Factors ; Specialization ; Telephone
Country
Republic of Korea
Publisher
Korean Society of Medical Informatics
ElectronicLinks
http://www.e-hir.org/Editor-in-chief
Young Moon Chae
journal@e-hir.org
Abbreviation
Healthc Inform Res
Vernacular Journal Title
대한의료정보학회지
ISSN
2093-3681
EISSN
2093-369X
Year Approved
2007
Current Indexing Status
Currently Indexed
Start Year
1995
Description
Healthcare Informatics Research (Healthc Inform Res; HIR) is the official journal of the Korean Society of Medical Informatics (KOSMI) founded in 1987, and replaced its predecessor, the Journal of KOSMI (JKOSMI; ISSN: 1225-8903), in 2010. The journal publishes quarterly peer-reviewed original research articles in English in order to expand its readership globally and reinforce its commitment to the development of healthcare informatics
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