With the introduction of electronic medical records (EMRs), it has become possible to accumulate massive amounts of qualitative medical data. As such, EMRs have become increasingly used in clinical decision support systems (CDSSs). While CDSSs aim to reduce medical errors normally occurring in the process of treating patients by physicians, technical maturity and the completeness of CDSSs do not meet standards for medical use yet. As data further accumulates, CDSS algorithms must be continuously updated to allow CDSSs to perform their core functions. Doing so, however, requires extensive time and manpower investments. In current practice, computational systems already perform a wide variety of functions in medical settings to allow medical staff to focus on other tasks. However, no prior research has evaluated the potential effectiveness of future CDSSs nor analyzed possibilities for their further development. In this article, we evaluate CDSS technology with the consideration that medical staff also understand the core functions of such systems.

Purpose: The aim of this study was to evaluate the feasibility and satisfaction of an online global health education course for medical students in comparison with an in-person of the course and to assess students’ preferences regarding online methods of delivery. Methods: Second-year medical students enrolled in this course in 2019 (in-person) and 2020 (online). The attendance rate, satisfaction in the course evaluation survey, and academic achievement on the written final examination were utilized to compare the two different methods of course delivery. The medical students who took the online course were also asked about their preferences regarding the method of course delivery and the advantages and drawbacks of each method of online lectures. Results: There was no significant difference in the attendance rate and overall satisfaction between the two groups. The mean score on the written examination of the online course (84.1±19.6) showed comparable effects to the in-person course (78.0±18.3). The percentages of students who achieved high performance (55.5%) and the achieved minimum requirement (95.9%) were also maintained compared to the in-person course (14.6% and 93.6%, respectively). Medical students preferred the online course to the in-person course; in particular, they preferred prerecorded videos over live streaming online lectures. Conclusion The participation, satisfaction, and the academic achievement of the online course were comparable to those of the in-person course. However, the greatest drawback of the online course was the lack of interaction between peer learners. Therefore, diverse methods for online education should be considered to increase students’ sense of belonging to a learning community.

Purpose: The aim of this study was to evaluate the feasibility and satisfaction of an online global health education course for medical students in comparison with an in-person of the course and to assess students’ preferences regarding online methods of delivery. Methods: Second-year medical students enrolled in this course in 2019 (in-person) and 2020 (online). The attendance rate, satisfaction in the course evaluation survey, and academic achievement on the written final examination were utilized to compare the two different methods of course delivery. The medical students who took the online course were also asked about their preferences regarding the method of course delivery and the advantages and drawbacks of each method of online lectures. Results: There was no significant difference in the attendance rate and overall satisfaction between the two groups. The mean score on the written examination of the online course (84.1±19.6) showed comparable effects to the in-person course (78.0±18.3). The percentages of students who achieved high performance (55.5%) and the achieved minimum requirement (95.9%) were also maintained compared to the in-person course (14.6% and 93.6%, respectively). Medical students preferred the online course to the in-person course; in particular, they preferred prerecorded videos over live streaming online lectures. Conclusion The participation, satisfaction, and the academic achievement of the online course were comparable to those of the in-person course. However, the greatest drawback of the online course was the lack of interaction between peer learners. Therefore, diverse methods for online education should be considered to increase students’ sense of belonging to a learning community.

BACKGROUND: Spontaneous adverse drug reaction (ADR) reporting data has been used for safety of post-market drug surveillance. A system has been required that is able to detect signals associated with drugs by analyzing the collected ADR data. METHODS: We developed the web-based automated analysis system (ADR-detector). We used the data which reported ADR spontaneously between March 2009 and December 2010 to Korean Food and Drug Administration. We used 3 statistical indicators for evaluating ADR signals: proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC). The ADR reports which were detected as significant signals based on the indicators have been reviewed. RESULTS: Among 153,774 reports, 9,955 cases were related to 4 analgesics which were most frequently reported analgesic drugs during the study period. The numbers of ADR reports associated with each drug are as follow: 5,623 reports in tramadol (56.5 %), 1,720 reports in fentanyl (17.3 %), 1,463 reports in tramadol-combination (14.7 %), and 1,149 reports in ketorolac (11.5 %). Top 5 ADR were nausea (3,351 reports - 33.7 %), vomiting (1,755 reports - 17.6 %), dizziness (1,130 - 11.4 %), rash (412 reports - 4.1 %), and pruritus (354 reports - 3.6 %). 6,674 ADR reports were significant based on PRR and ROR, and 336 reports were significant based on IC. CONCLUSION: By using the automated analysis system, not only statisticians but also general researchers are able to analyze ADR signals in real-time. Also ADR-detector would provide rapid review and cross-check of ADR.
Analgesics ; Data Mining ; Dizziness ; Drug Toxicity ; Exanthema ; Fentanyl ; Ketorolac ; Nausea ; Odds Ratio ; Pruritus ; Tramadol ; United States Food and Drug Administration ; Vomiting

Purpose: : This study aimed to present the incidence of pressure ulcers and identify different associated factors according to the time of occurrence of pressure ulcers in intensive care unit (ICU) patients. Methods: : The participants were 313 patients who reported pressure ulcers among 2,908 patients in ICUs at a large tertiary hospital in Gyeonggi-do. Among them, 220 patients (70.3%) had a pressure ulcer before admission, and 93 patients (29.7%) reported newly developed pressure ulcers after admission to the ICU. Data were collected between August 2018 and April 2019. Along with the time of occurrence and characteristics of pressure ulcers, diverse associated factors were gathered through electronic medical records. Data were analyzed using descriptive statistics, independent t-tests, and χ2-tests. Results: : Different risk factors associated with pressure ulcers in ICU patients according to the time of occurrence were main diagnosis, score of acute physiology and chronic health evaluation, score of Richmond agitation sedation scale, level of consciousness, administered sedatives, use of a ventilator, insertion of a feeding tube, and the duration of fasting period. Conclusion : Based on the results of this study, healthcare providers, especially ICU nurses, should try to detect early signs and symptoms of pressure ulcers, taking into account the derived factors associated with pressure ulcers in ICU patients. Practical intervention programs and strategies considering the factors associated with pressure ulcers must be developed to prevent and alleviate such ulcers in ICU patients in the future.