43 research outputs found

    Does the Electronic Medical Record (EMR) Adoption Matter? Exploring Patterns of EMR Implementation and its Impact on Hospital Performance

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    We aimed to explore the patterns of electronic medical records (EMR) adoption and its effects on hospital performance. We analyzed hospital-level panel data from 2008 to 2013 using Bayesian regression and the Naïve Bayes model. Our research analysis revealed 38 different adoption patterns for 1,919 hospitals that completed EMR implementation (having all of the four components) and 42 different investment patterns for 1,341 hospitals that could not complete the EMR implementation. We examined the hospitals’ EMR adoption patterns that were not completed; but predicted as completed using the Naïve Bayes model. Our results revealed that the hospitals that completed EMR adoption showed higher performance in terms of patient recommendation and net patient revenue than those that did not complete EMR adoption. More importantly, most of hospitals that observed as “not completed” but predicted as “completed” showed lower performance in terms of patient recommendation as well as net patient revenue

    Epidemiology of sepsis in Korea: a population-based study of incidence, mortality, cost and risk factors for death in sepsis

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    Objective To investigate the epidemiology of sepsis in Korea and identify risk factors for death in sepsis. Methods We conducted a longitudinal, population-based epidemiological study of sepsis in Korea from 2005 to 2012 using the National Health Insurance Service-National Sample Cohort, a population-based cohort representing 2.2% of the Korean population. The primary objective was to assess the incidence, mortality and cost of sepsis. The secondary objective was to identify the risk factors for death in sepsis. Claim records of admitted adult patients (aged ≥15 years) were analyzed. Sepsis was defined as 1) bacterial or fungal infection or the conditions they often complicate, 2) prescription of intravenous antibiotics, and 3) presence of any organ dysfunction. Comorbidities were defined using the Charlson/Deyo method. Risk factors for 6-month mortality were assessed using multivariable logistic regression. Results A total of 22,882 cases were identified. Both incidence and 6-month mortality increased from 265.7 (95% confidence interval [CI], 254.7 to 277.1) to 453.1 (95% CI, 439.0 to 467.5) per 100,000 person-years (P-trend <0.001) and from 26.5% (95% CI, 24.4% to 28.8%) to 30.1% (95% CI, 28.4% to 31.9%), respectively. After standardization, the increasing trend of incidence was slower but still significant (P-trend <0.001), while that for mortality was not (P-trend 0.883). The average cost increased by 75.5% (P-trend <0.001). Multivariable logistic regression identified various risk factors for mortality. Conclusion The burden of sepsis in Korea was high and is expected to increase considering the aging population. Proactive measures to curtail this increase should be sought and implemented

    SEALONE (Safety and Efficacy of Coronary Computed Tomography Angiography with Low Dose in Patients Visiting Emergency Room) trial: study protocol for a randomized controlled trial

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    Objective Chest pain is one of the most common complaints in the emergency department (ED). Cardiac computed tomography angiography (CCTA) is a frequently used tool for the early triage of patients with low- to intermediate-risk acute chest pain. We present a study protocol for a multicenter prospective randomized controlled clinical trial testing the hypothesis that a low-dose CCTA protocol using prospective electrocardiogram (ECG)-triggering and limited-scan range can provide sufficient diagnostic safety for early triage of patients with acute chest pain. Methods The trial will include 681 younger adult (aged 20 to 55) patients visiting EDs of three academic hospitals for acute chest pain or equivalent symptoms who require further evaluation to rule out acute coronary syndrome. Participants will be randomly allocated to either low-dose or conventional CCTA protocol at a 2:1 ratio. The low-dose group will undergo CCTA with prospective ECG-triggering and restricted scan range from sub-carina to heart base. The conventional protocol group will undergo CCTA with retrospective ECG-gating covering the entire chest. Patient disposition is determined based on computed tomography findings and clinical progression and all patients are followed for a month. The primary objective is to prove that the chance of experiencing any hard event within 30 days after a negative low-dose CCTA is less than 1%. The secondary objectives are comparisons of the amount of radiation exposure, ED length of stay and overall cost. Results and Conclusion Our low-dose protocol is readily applicable to current multi-detector computed tomography devices. If this study proves its safety and efficacy, dose-reduction without purchasing of expensive newer devices would be possible

    The Impact of Metaverse Technology Use on Team Creativity in Virtual Teams

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    As a crucial contributor to organizational performance and competitive advantage, the ability to develop original and effective ideas has been identified as a key component. As digital technologies advance, businesses increasingly utilize virtual teams due to their cost-effectiveness and efficiency. Moreover, in recent years, there has been an increase in interest in a new concept of work environments known as metaverses. However, the creative performance of virtual teams in the metaverse setting is not sufficiently understood. Hence, we offer a research model to investigate the effect of metaverse technology on creative performance in virtual teams

    Mobile Augmented Reality, Product Sales, and Consumer Evaluations: Evidence from a Natural Experiment

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    Despite the recent popularity of Augmented Reality (AR) technology, no empirical evidence has confirmed that AR is a more effective artifact than the traditional way of product presentations on online retailers. In this study, we investigate the economi

    Spillover of Information Security Incidents’ Impact: The Moderating Role of Social Networks and IT

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    The objective of this study is to examine the contagion effect of a major security incident. We argue that the impact of security incidents is not limited to a single firm, but that it spills over to other firms in an industry. We theorize that firms that are similar to the breached firm in terms of the characteristics of top managers, and those with economic link ties to the breached firm, are likely to experience a stronger contagion effect

    Sequential Adoption and Co-Adoption of Package Technologies: Electronic Medical Record and Hospital Performance

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    Our paper investigates the impact of different adoption patterns of EMR components on hospital performance. It distinguishes between co-adoption, partial-sequence adoption, and sequential adoption. We use hospital data in the U.S., spanning 2008 to 2017, and include variables such as total operating expenses, mortality rate, average length of stay, and patient experiential quality indicators as the dependent variables. We employed Bayesian linear regression and conducted additional sensitivity analyses. The findings suggest that co-adoption is more beneficial for care quality and patient experience but does not result in cost savings

    Healthcare Information Technology and Hospital Performance: Diversity and Velocity

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    This article examines how two features of technology adoption affect hospital performance. The current study contributes to our understanding of the IT-performance link in a hospital setting by exploring the effects of healthcare information technology (HIT) diversity and the pace of HIT diversity change in a hospital over time on hospital performance. Employing a panel data set of U.S. hospitals from 2008 to 2013, the research finds that HIT diversity is positively associated with hospital performance, while velocity is negatively associated with it

    A review of ethical issue considerations in the information systems research literature

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    This monograph summarizes the treatment of ethical considerations that have been made by information systems researchers
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