ACM Trans. Manag. Inf. Syst.最新文献_第4页

Septic Shock Prediction for Patients with Missing Data 数据缺失患者感染性休克的预测

ACM Trans. Manag. Inf. Syst. Pub Date : 2014-04-01 DOI: 10.1145/2591676

Joyce Ho, Cheng H. Lee, Joydeep Ghosh

{"title":"Septic Shock Prediction for Patients with Missing Data","authors":"Joyce Ho, Cheng H. Lee, Joydeep Ghosh","doi":"10.1145/2591676","DOIUrl":"https://doi.org/10.1145/2591676","url":null,"abstract":"Sepsis and septic shock are common and potentially fatal conditions that often occur in intensive care unit (ICU) patients. Early prediction of patients at risk for septic shock is therefore crucial to minimizing the effects of these complications. Potential indications for septic shock risk span a wide range of measurements, including physiological data gathered at different temporal resolutions and gene expression levels, leading to a nontrivial prediction problem. Previous works on septic shock prediction have used small, carefully curated datasets or clinical measurements that may not be available for many ICU patients. The recent availability of a large, rich ICU dataset called MIMIC-II has provided the opportunity for more extensive modeling of this problem. However, such a large clinical dataset inevitably contains a substantial amount of missing data. We investigate how different imputation selection criteria and methods can overcome the missing data problem. Our results show that imputation methods in conjunction with predictive modeling can lead to accurate septic shock prediction, even if the features are restricted primarily to noninvasive measurements. Our models provide a generalized approach for predicting septic shock in any ICU patient.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126288360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 39

Risk Mitigation Decisions for IT Security IT安全的风险缓解决策

ACM Trans. Manag. Inf. Syst. Pub Date : 2014-04-01 DOI: 10.1145/2576757

M. Yeo, E. Rolland, Jackie Rees Ulmer, Raymond A. Patterson

引用次数: 13

Postmarketing Drug Safety Surveillance Using Publicly Available Health-Consumer-Contributed Content in Social Media 在社交媒体上使用公开可用的健康消费者贡献内容进行上市后药品安全监测

ACM Trans. Manag. Inf. Syst. Pub Date : 2014-04-01 DOI: 10.1145/2576233

Christopher C. Yang, Haodong Yang, Ling Jiang

{"title":"Postmarketing Drug Safety Surveillance Using Publicly Available Health-Consumer-Contributed Content in Social Media","authors":"Christopher C. Yang, Haodong Yang, Ling Jiang","doi":"10.1145/2576233","DOIUrl":"https://doi.org/10.1145/2576233","url":null,"abstract":"Postmarketing drug safety surveillance is important because many potential adverse drug reactions cannot be identified in the premarketing review process. It is reported that about 5% of hospital admissions are attributed to adverse drug reactions and many deaths are eventually caused, which is a serious concern in public health. Currently, drug safety detection relies heavily on voluntarily reporting system, electronic health records, or relevant databases. There is often a time delay before the reports are filed and only a small portion of adverse drug reactions experienced by health consumers are reported. Given the popularity of social media, many health social media sites are now available for health consumers to discuss any health-related issues, including adverse drug reactions they encounter. There is a large volume of health-consumer-contributed content available, but little effort has been made to harness this information for postmarketing drug safety surveillance to supplement the traditional approach. In this work, we propose the association rule mining approach to identify the association between a drug and an adverse drug reaction. We use the alerts posted by Food and Drug Administration as the gold standard to evaluate the effectiveness of our approach. The result shows that the performance of harnessing health-related social media content to detect adverse drug reaction is good and promising.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128411739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 72

Mining Deviations from Patient Care Pathways via Electronic Medical Record System Audits 通过电子病历系统审计从患者护理路径中挖掘偏差

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-12-01 DOI: 10.1145/2544102

He Zhang, S. Mehrotra, David M. Liebovitz, Carl A. Gunter, B. Malin

{"title":"Mining Deviations from Patient Care Pathways via Electronic Medical Record System Audits","authors":"He Zhang, S. Mehrotra, David M. Liebovitz, Carl A. Gunter, B. Malin","doi":"10.1145/2544102","DOIUrl":"https://doi.org/10.1145/2544102","url":null,"abstract":"In electronic medical record (EMR) systems, administrators often provide EMR users with broad access privileges, which may leave the system vulnerable to misuse and abuse. Given that patient care is based on a coordinated workflow, we hypothesize that care pathways can be represented as the progression of a patient through a system and introduce a strategy to model the patient’s flow as a sequence of accesses defined over a graph. Elements in the sequence correspond to features associated with the access transaction (e.g., reason for access). Based on this motivation, we model patterns of patient record usage, which may indicate deviations from care workflows. We evaluate our approach using several months of data from a large academic medical center. Empirical results show that this framework finds a small portion of accesses constitute outliers from such flows. We also observe that the violation patterns deviate for different types of medical services. Analysis of our results suggests greater deviation from normal access patterns by nonclinical users. We simulate anomalies in the context of real accesses to illustrate the efficiency of the proposed method for different medical services. As an illustration of the capabilities of our method, it was observed that the area under the receiver operating characteristic (ROC) curve for the Pediatrics service was found to be 0.9166. The results suggest that our approach is competitive with, and often better than, the existing state-of-the-art in its outlier detection performance. At the same time, our method is more efficient, by orders of magnitude, than previous approaches, allowing for detection of thousands of accesses in seconds.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129425399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Business Benefits or Incentive Maximization? Impacts of the Medicare EHR Incentive Program at Acute Care Hospitals 商业利益还是激励最大化?医疗保险EHR激励计划对急症护理医院的影响

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-12-01 DOI: 10.1145/2543900

Rajesh Mirani, Anju Harpalani

引用次数: 8

I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions 我能帮你改变!移情虚拟代理提供行为改变健康干预

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-12-01 DOI: 10.1145/2544103

C. Lisetti, R. Amini, Ugan Yasavur, N. Rishe

{"title":"I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions","authors":"C. Lisetti, R. Amini, Ugan Yasavur, N. Rishe","doi":"10.1145/2544103","DOIUrl":"https://doi.org/10.1145/2544103","url":null,"abstract":"We discuss our approach to developing a novel modality for the computer-delivery of Brief Motivational Interventions (BMIs) for behavior change in the form of a personalized On-Demand VIrtual Counselor (ODVIC), accessed over the internet. ODVIC is a multimodal Embodied Conversational Agent (ECA) that empathically delivers an evidence-based behavior change intervention by adapting, in real-time, its verbal and nonverbal communication messages to those of the user’s during their interaction. We currently focus our work on excessive alcohol consumption as a target behavior, and our approach is adaptable to other target behaviors (e.g., overeating, lack of exercise, narcotic drug use, non-adherence to treatment). We based our current approach on a successful existing patient-centered brief motivational intervention for behavior change---the Drinker’s Check-Up (DCU)---whose computer-delivery with a text-only interface has been found effective in reducing alcohol consumption in problem drinkers. We discuss the results of users’ evaluation of the computer-based DCU intervention delivered with a text-only interface compared to the same intervention delivered with two different ECAs (a neutral one and one with some empathic abilities). Users rate the three systems in terms of acceptance, perceived enjoyment, and intention to use the system, among other dimensions. We conclude with a discussion of how our positive results encourage our long-term goals of on-demand conversations, anytime, anywhere, with virtual agents as personal health and well-being helpers.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134255556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 196

Smart Health and Wellbeing 智能健康和幸福

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-12-01 DOI: 10.1145/2555810.2555811

Christopher C. Yang, G. Leroy, S. Ananiadou

引用次数: 40

Embodying Care in Matilda: An Affective Communication Robot for Emotional Wellbeing of Older People in Australian Residential Care Facilities 在玛蒂尔达中体现关怀:澳大利亚养老院老年人情感健康的情感沟通机器人

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-12-01 DOI: 10.1145/2544104

R. Khosla, Mei-Tai Chu

{"title":"Embodying Care in Matilda: An Affective Communication Robot for Emotional Wellbeing of Older People in Australian Residential Care Facilities","authors":"R. Khosla, Mei-Tai Chu","doi":"10.1145/2544104","DOIUrl":"https://doi.org/10.1145/2544104","url":null,"abstract":"Ageing population is at the center of the looming healthcare crisis in most parts of the developed and developing world. Australia, like most of the western world, is bracing up for the looming ageing population crisis, spiraling healthcare costs, and expected serious shortage of healthcare workers. Assistive service and companion (social) robots are being seen as one of the ways for supporting aged care facilities to meet this challenge and improve the quality of care of older people including mental and physical health outcomes, as well as to support healthcare workers in personalizing care. In this article, the authors report on the design and implementation of first-ever field trials of Matilda, a human-like assistive communication (service and companion) robot for improving the emotional well-being of older people in three residential care facilities in Australia involving 70 participants. The research makes several unique contributions including Matilda’s ability to break technology barriers, positively engage older people in group and one-to-one activities, making these older people productive and useful, helping them become resilient and cope better through personalization of care, and finally providing them sensory enrichment through Matilda’s multimodal communication capabilities.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129979127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 55

Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm 基于时间序列的急诊科吞吐量建模:一种期望最大化算法

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-12-01 DOI: 10.1145/2544105

Zidong Wang, J. Eatock, S. McClean, Dongmei Liu, Xiaohui Liu, T. Young

引用次数: 8

Real Options and System Dynamics for Information Technology Investment Decisions: Application to RFID Adoption in Retail 信息技术投资决策的实物期权和系统动力学:RFID在零售中的应用

ACM Trans. Manag. Inf. Syst. Pub Date : 2013-10-01 DOI: 10.1145/2517309

Narges Kasiri, R. Sharda

{"title":"Real Options and System Dynamics for Information Technology Investment Decisions: Application to RFID Adoption in Retail","authors":"Narges Kasiri, R. Sharda","doi":"10.1145/2517309","DOIUrl":"https://doi.org/10.1145/2517309","url":null,"abstract":"We propose a unique combination of system dynamics and real options into a robust and innovative model for analyzing return on investments in IT. Real options modeling allows a cost benefit analysis to take into account managerial flexibilities when there is uncertainty in the investment, while system dynamics can build a predictive model, in which one can simulate different real-life and hypothetical scenarios in order to provide measurements that can be used in the real options model. Our return on the investment model combines these long-established quantitative techniques in a novel manner. This study applies this robust hybrid model to a challenging IT investment problem: adoption of RFID in retail. Item-level RFID is the next generation of identification technology in the retail sector. Our method can help managers to overcome the complexity and uncertainties in the investment timing of this technology. We analyze the RFID considerations in retail decision-making using real data compiled from a Delphi study. Our model demonstrates how the cost and benefits of such an investment change over time. The results highlight the variable cost of RFID tags as the key factor in the decision process concerning whether to immediately adopt or postpone the use of RFID in retail. Our exploratory work suggests that it is possible to combine merchandising and pricing issues in addition to the traditional supply chain management issues in studying any multifaceted problem in retail.","PeriodicalId":178565,"journal":{"name":"ACM Trans. Manag. Inf. Syst.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131728993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10