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Journal articles on the topic 'Alert'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

AM, Riyad. "Multilevel Intrusion Alert Post-processing for the Elimination of False Positives." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 2458–68. http://dx.doi.org/10.22214/ijraset.2021.37789.

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Abstract: Intrusion detection systems are the last line of defence in the network security domain. Improving the performance of intrusion detection systems always increase false positives. This is a serious problem in the field of intrusion detection. In order to overcome this issue to a great extend, we propose a multi level post processing of intrusion alerts eliminating false positives produced by various intrusion detection systems in the network. For this purpose, the alerts are normalized first. Then, a preliminary alert filtration phase prioritize the alerts and removes irrelevant alert

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McDaniel, Robert B., Jonathan D. Burlison, Donald K. Baker, et al. "Alert dwell time: introduction of a measure to evaluate interruptive clinical decision support alerts." Journal of the American Medical Informatics Association 23, e1 (2015): e138-e141. http://dx.doi.org/10.1093/jamia/ocv144.

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Abstract Metrics for evaluating interruptive prescribing alerts have many limitations. Additional methods are needed to identify opportunities to improve alerting systems and prevent alert fatigue. In this study, the authors determined whether alert dwell time—the time elapsed from when an interruptive alert is generated to when it is dismissed—could be calculated by using historical alert data from log files. Drug–drug interaction (DDI) alerts from 3 years of electronic health record data were queried. Alert dwell time was calculated for 25,965 alerts, including 777 unique DDIs. The median al

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Chaparro, Juan D., Cory Hussain, Jennifer A. Lee, Jessica Hehmeyer, Manjusri Nguyen, and Jeffrey Hoffman. "Reducing Interruptive Alert Burden Using Quality Improvement Methodology." Applied Clinical Informatics 11, no. 01 (2020): 046–58. http://dx.doi.org/10.1055/s-0039-3402757.

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Abstract Background Increased adoption of electronic health records (EHR) with integrated clinical decision support (CDS) systems has reduced some sources of error but has led to unintended consequences including alert fatigue. The “pop-up” or interruptive alert is often employed as it requires providers to acknowledge receipt of an alert by taking an action despite the potential negative effects of workflow interruption. We noted a persistent upward trend of interruptive alerts at our institution and increasing requests for new interruptive alerts. Objectives Using Institute for Healthcare Im

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Szymanski, Jeffrey J., Abraham J. Qavi, Kari Laux, and Ronald Jackups. "Once-Per-Visit Alerts: A Means to Study Alert Compliance and Reduce Repeat Laboratory Testing." Clinical Chemistry 65, no. 9 (2019): 1125–31. http://dx.doi.org/10.1373/clinchem.2018.300657.

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Abstract BACKGROUND Clinical decision support alerts for laboratory testing have poor compliance. Once-per-visit alerts, triggered by reorder of a test within the same admission, are highly specific for unnecessary orders and provide a means to study alert compliance. METHODS Once-per-visit alerts for 18 laboratory orderables were analyzed over a 60-month period from September 2012 to October 2016 at a 1200-bed academic medical center. To determine correlates of alert compliance, we compared alerts by test and provider characteristics. RESULTS Overall alert compliance was 54.5%. In multivariat

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Pashtan, Itai Max, Tara Kosak, Kevin Beaudette, et al. "Addressing alert fatigue by reducing radiation oncology software alert volume." Journal of Clinical Oncology 39, no. 28_suppl (2021): 261. http://dx.doi.org/10.1200/jco.2020.39.28_suppl.261.

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261 Background: Radiation therapists (RTTs) administer radiation treatments to patients with cancer. Treatments are delivered using linear accelerators (LINACs), operated by vendor specific software. Prior to delivering treatment, RTTs perform a time-out, and read aloud critical electronic communications (alerts) entered by members of the radiation oncology care team. Alerts are effective at communicating critical information, including treatment setup and imaging instructions, but can become a source of error due to alert fatigue when placed indiscriminately. Methods: A multicenter retrospect

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Wang, Le, Kim Huat Goh, Adrian Yeow, et al. "Habit and Automaticity in Medical Alert Override: Cohort Study." Journal of Medical Internet Research 24, no. 2 (2022): e23355. http://dx.doi.org/10.2196/23355.

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Background Prior literature suggests that alert dismissal could be linked to physicians’ habits and automaticity. The evidence for this perspective has been mainly observational data. This study uses log data from an electronic medical records system to empirically validate this perspective. Objective We seek to quantify the association between habit and alert dismissal in physicians. Methods We conducted a retrospective analysis using the log data comprising 66,049 alerts generated from hospitalized patients in a hospital from March 2017 to December 2018. We analyzed 1152 physicians exposed t

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Heringa, Mette, Hidde Siderius, Annemieke Floor-Schreudering, Peter A. G. M. de Smet, and Marcel L. Bouvy. "Lower alert rates by clustering of related drug interaction alerts." Journal of the American Medical Informatics Association 24, no. 1 (2016): 54–59. http://dx.doi.org/10.1093/jamia/ocw049.

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Objective: We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs). Methods: We conducted a retrospective analysis of drug interaction alerts generated by CDSSs in community pharmacies. Frequently generated combinations of alerts were analyzed for associations in a 5% random data sample (dataset 1). Alert combinations with similar management recommendations were defined as clusters. The alert rate was assessed by simulating a CDSS generating 1

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Chien, Shuo-Chen, Yen-Po Chin, Chang-Ho Yoon, et al. "A Tool to Retrieve Alert Dwell Time from a Homegrown Computerized Physician Order Entry (CPOE) System of an Academic Medical Center: An Exploratory Analysis." Applied Sciences 11, no. 24 (2021): 12004. http://dx.doi.org/10.3390/app112412004.

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Alert dwell time, defined as the time elapsed from the generation of an interruptive alert to its closure, has rarely been used to describe the time required by clinicians to respond to interruptive alerts. Our study aimed to develop a tool to retrieve alert dwell times from a homegrown CPOE (computerized physician order entry) system, and to conduct exploratory analysis on the impact of various alert characteristics on alert dwell time. Additionally, we compared this impact between various professional groups. With these aims, a dominant window detector was developed using the Golang programm

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Simpao, Allan F., Luis M. Ahumada, Bimal R. Desai, et al. "Optimization of drug–drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard." Journal of the American Medical Informatics Association 22, no. 2 (2014): 361–69. http://dx.doi.org/10.1136/amiajnl-2013-002538.

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Abstract Objective To develop and evaluate an electronic dashboard of hospital-wide electronic health record medication alerts for an alert fatigue reduction quality improvement project. Methods We used visual analytics software to develop the dashboard. We collaborated with the hospital-wide Clinical Decision Support committee to perform three interventions successively deactivating clinically irrelevant drug–drug interaction (DDI) alert rules. We analyzed the impact of the interventions on care providers’ and pharmacists’ alert and override rates using an interrupted time series framework wi

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McGreevey, John D., Colleen P. Mallozzi, Randa M. Perkins, Eric Shelov, and Richard Schreiber. "Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems." Applied Clinical Informatics 11, no. 01 (2020): 001–12. http://dx.doi.org/10.1055/s-0039-3402715.

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Abstract Background Electronic health record (EHR) alert fatigue, while widely recognized as a concern nationally, lacks a corresponding comprehensive mitigation plan. Objectives The goal of this manuscript is to provide practical guidance to clinical informaticists and other health care leaders who are considering creating a program to manage EHR alerts. Methods This manuscript synthesizes several approaches and recommendations for better alert management derived from four U.S. health care institutions that presented their experiences and recommendations at the American Medical Informatics As

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Nanji, Karen C., Diane L. Seger, Sarah P. Slight, et al. "Medication-related clinical decision support alert overrides in inpatients." Journal of the American Medical Informatics Association 25, no. 5 (2017): 476–81. http://dx.doi.org/10.1093/jamia/ocx115.

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Abstract Objective To define the types and numbers of inpatient clinical decision support alerts, measure the frequency with which they are overridden, and describe providers’ reasons for overriding them and the appropriateness of those reasons. Materials and Methods We conducted a cross-sectional study of medication-related clinical decision support alerts over a 3-year period at a 793-bed tertiary-care teaching institution. We measured the rate of alert overrides, the rate of overrides by alert type, the reasons cited for overrides, and the appropriateness of those reasons. Results Overall,

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Harrison, Andrew M., Charat Thongprayoon, Christopher A. Aakre, et al. "Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting." PeerJ 5 (March 14, 2017): e3083. http://dx.doi.org/10.7717/peerj.3083.

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Background Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored. Objective To test the hypothesis time to severe sepsis alert acknowledgement by critical care clinicians in the ICU setting would be reduced using an EHR-based alert acknowledgement system compared to a text paging-based system. Study Design In one arm of this simulation study, real alerts for patients in the medical ICU were delivered to crit

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Elias, Pierre, Eric Peterson, Bob Wachter, Cary Ward, Eric Poon, and Ann Marie Navar. "Evaluating the Impact of Interruptive Alerts within a Health System: Use, Response Time, and Cumulative Time Burden." Applied Clinical Informatics 10, no. 05 (2019): 909–17. http://dx.doi.org/10.1055/s-0039-1700869.

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Abstract Background Health systems often employ interruptive alerts through the electronic health record to improve patient care. However, concerns of “alert fatigue” have been raised, highlighting the importance of understanding the time burden and impact of these alerts on providers. Objectives Our main objective was to determine the total time providers spent on interruptive alerts in both inpatient and outpatient settings. Our secondary objectives were to analyze dwell time for individual alerts and examine both provider and alert-related factors associated with dwell time variance. Method

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Dexheimer, Judith, Eric Kirkendall, Michal Kouril, et al. "The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital." Applied Clinical Informatics 08, no. 02 (2017): 491–501. http://dx.doi.org/10.4338/aci-2016-10-ra-0168.

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Summary Objective: More than 70% of hospitals in the United States have electronic health records (EHRs). Clinical decision support (CDS) presents clinicians with electronic alerts during the course of patient care; however, alert fatigue can influence a provider’s response to any EHR alert. The primary goal was to evaluate the effects of alert burden on user response to the alerts. Methods: We performed a retrospective study of medication alerts over a 24-month period (1/2013–12/2014) in a large pediatric academic medical center. The institutional review board approved this study. The primary

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Knight, Amy M., Joyce Maygers, Kimberly A. Foltz, Isha S. John, Hsin Chieh Yeh, and Daniel J. Brotman. "The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and Acceptance Rate." Applied Clinical Informatics 10, no. 05 (2019): 927–34. http://dx.doi.org/10.1055/s-0039-3400447.

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Abstract Objective This study aimed to determine the effects of reducing the number of drug-drug interaction (DDI) alerts in an order entry system. Methods Retrospective pre–post analysis at an urban medical center of the rates of medication alerts and alert acceptance during a 5-month period before and 5-month period after the threshold for firing DDI alerts was changed from “intermediate” to “severe.” To ensure that we could determine varying response to each alert type, we took an in-depth look at orders generating single alerts. Results Before the intervention, 241,915 medication orders we

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Chien, Shuo-Chen, Yen-Po (Harvey) Chin, Chang Ho Yoon, et al. "A novel method to retrieve alerts from a homegrown Computerized Physician Order Entry (CPOE) system of an academic medical center: Comprehensive alert characteristic analysis." PLOS ONE 16, no. 2 (2021): e0246597. http://dx.doi.org/10.1371/journal.pone.0246597.

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Background The collection and analysis of alert logs are necessary for hospital administrators to understand the types and distribution of alert categories within the organization and reduce alert fatigue. However, this is not readily available in most homegrown Computerized Physician Order Entry (CPOE) systems. Objective To present a novel method that can collect alert information from a homegrown CPOE system (at an academic medical center in Taiwan) and conduct a comprehensive analysis of the number of alerts triggered and alert characteristics. Methods An alert log collector was developed u

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Baysari, Melissa T., Amina Tariq, Richard O. Day, and Johanna I. Westbrook. "Alert override as a habitual behavior – a new perspective on a persistent problem." Journal of the American Medical Informatics Association 24, no. 2 (2016): 409–12. http://dx.doi.org/10.1093/jamia/ocw072.

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Quantifying alert override has been the focus of much research in health informatics, with override rate traditionally viewed as a surrogate inverse indicator for alert effectiveness. However, relying on alert override to assess computerized alerts assumes that alerts are being read and determined to be irrelevant by users. Our research suggests that this is unlikely to be the case when users are experiencing alert overload. We propose that over time, alert override becomes habitual. The override response is activated by environmental cues and repeated automatically, with limited conscious int

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Bubp, Jeff L., Michelle A. Park, Joan Kapusnik-Uner, et al. "Successful deployment of drug-disease interaction clinical decision support across multiple Kaiser Permanente regions." Journal of the American Medical Informatics Association 26, no. 10 (2019): 905–10. http://dx.doi.org/10.1093/jamia/ocz020.

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Abstract Objective The study sought to develop a criteria-based scoring tool for assessing drug-disease knowledge base content and creation of a subset and to implement the subset across multiple Kaiser Permanente (KP) regions. Materials and Methods In Phase I, the scoring tool was developed, used to create a drug-disease alert subset, and validated by surveying physicians and pharmacists from KP Northern California. In Phase II, KP enabled the alert subset in July 2015 in silent mode to collect alert firing rates and confirmed that alert burden was adequately reduced. The alert subset was sub

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Sampson, Fiona C., Fiona Bell, Peter Webster, et al. "PP26 Exploring the use of pre-hospital pre-alerts and their impact on patients, ambulance service and emergency department staff: protocol for a mixed methods study." Emergency Medicine Journal 39, no. 9 (2022): e5.19. http://dx.doi.org/10.1136/emermed-2022-999.26.

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BackgroundAmbulance clinicians use pre-alert calls to inform receiving emergency departments (EDs) of the arrival of a critically unwell patient that will require a specialised response. Little is known about how a decision to pre-alert is made and how this is communicated and acted upon in the receiving ED. Whilst appropriate use of pre-alerts benefits patient care, their overuse carries a risk of harm or opportunity costs. The impact of pre-alerts on ambulance clinicians, ED staff and patients is not currently well understood.MethodsWe are conducting a mixed methods study with five inter-rel

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admin, admin. "AlertFusion-OptiNet: An Advanced SIEM Alert Management System for IoT Environments using CMRO and AlertQ-Net." Fusion: Practice and Applications 18, no. 2 (2025): 01–23. https://doi.org/10.54216/fpa.180201.

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SIEM, which stands for Security Information and Event Management, is a collection of services and solutions that give businesses the capacity to gather, examine, and handle security-related data in real time from all areas of their IT infrastructure. This study presents AlertFusion-OptiNet, a sophisticated SIEM alert management architecture intended for effective alert handling and intrusion detection. The proposed CMRO algorithm (a hybrid of Coot Bird Optimization and Mug Ring Algorithm) is used to select the best features after the system integrates data from multiple sources (raw logs, netw

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Bryant, A. D., G. S. Fletcher, and T. H. Payne. "Drug interaction alert override rates in the Meaningful Use era." Applied Clinical Informatics 05, no. 03 (2014): 802–13. http://dx.doi.org/10.4338/aci-2013-12-ra-0103.

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SummaryBackground: Interruptive drug interaction alerts may reduce adverse drug events and are required for Stage I Meaningful Use attestation. For the last decade override rates have been very high. Despite their widespread use in commercial EHR systems, previously described interventions to improve alert frequency and acceptance have not been well studied.Objectives: (1) To measure override rates of inpatient medication alerts within a commercial clinical decision support system, and assess the impact of local customization efforts. (2) To compare override rates between drug-drug interaction

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Albasheer, Hashim, Maheyzah Md Siraj, Azath Mubarakali, et al. "Cyber-Attack Prediction Based on Network Intrusion Detection Systems for Alert Correlation Techniques: A Survey." Sensors 22, no. 4 (2022): 1494. http://dx.doi.org/10.3390/s22041494.

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Network Intrusion Detection Systems (NIDS) are designed to safeguard the security needs of enterprise networks against cyber-attacks. However, NIDS networks suffer from several limitations, such as generating a high volume of low-quality alerts. Moreover, 99% of the alerts produced by NIDSs are false positives. As well, the prediction of future actions of an attacker is one of the most important goals here. The study has reviewed the state-of-the-art cyber-attack prediction based on NIDS Intrusion Alert, its models, and limitations. The taxonomy of intrusion alert correlation (AC) is introduce

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Herr, Timothy M., Josh F. Peterson, Luke V. Rasmussen, Pedro J. Caraballo, Peggy L. Peissig, and Justin B. Starren. "Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network." Journal of the American Medical Informatics Association 26, no. 2 (2018): 143–48. http://dx.doi.org/10.1093/jamia/ocy156.

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AbstractTo better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortiu

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Landauer, Max, Florian Skopik, Markus Wurzenberger, and Andreas Rauber. "Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation." ACM Transactions on Privacy and Security 25, no. 3 (2022): 1–36. http://dx.doi.org/10.1145/3510581.

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Intrusion Detection Systems (IDS) secure all kinds of IT infrastructures through automatic detection of malicious activities. Unfortunately, they are known to produce large numbers of alerts that often become overwhelming for manual analysis. Therefore, aggregation methods have been developed for filtering, grouping, and correlating alerts. However, existing techniques either rely on manually defined attack scenarios or require specific alert formats, such as IDMEF that include IP addresses. This makes the application of existing aggregation methods infeasible for alerts from host-based or ano

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Capan, Muge, Stephen Hoover, Kristen E. Miller, et al. "Data-driven approach to Early Warning Score-based alert management." BMJ Open Quality 7, no. 3 (2018): e000088. http://dx.doi.org/10.1136/bmjoq-2017-000088.

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BackgroundIncreasing adoption of electronic health records (EHRs) with integrated alerting systems is a key initiative for improving patient safety. Considering the variety of dynamically changing clinical information, it remains a challenge to design EHR-driven alerting systems that notify the right providers for the right patient at the right time while managing alert burden. The objective of this study is to proactively develop and evaluate a systematic alert-generating approach as part of the implementation of an Early Warning Score (EWS) at the study hospitals.MethodsWe quantified the imp

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van Steenkiste, Job, Niki Lupgens, Martijn Kool, Daan Dohmen, and Iris Verberk-Jonkers. "Alert Reduction and Telemonitoring Process Optimization for Improving Efficiency in Remote Patient Monitoring Programs: Framework Development Study." JMIR Medical Informatics 13 (June 13, 2025): e66066-e66066. https://doi.org/10.2196/66066.

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Abstract Background Telemonitoring can enhance the efficiency of health care delivery by enabling risk stratification, thereby allowing health care professionals to focus on high-risk patients. Additionally, it reduces the need for physical care. In contrast, telemonitoring programs require a significant time investment for implementation and alert processing. A structured method for telemonitoring process optimization is lacking. Objective We propose a framework for optimizing efficient care delivery in telemonitoring programs based on alert data analysis and scenario analysis of a telemonito

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Patterson, Megan Brooke, Nicole E. Caston, D'Ambra Dent, et al. "Remote symptom monitoring alerts for nurses: Removing the noise." JCO Oncology Practice 19, no. 11_suppl (2023): 379. http://dx.doi.org/10.1200/op.2023.19.11_suppl.379.

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379 Background: Within remote symptom monitoring (RSM) programs, nurses may respond to many symptom alerts in a given day. The shift to standard-of-care delivery necessitates adding this responsibility to an already strained nursing workforce. Thus, selecting the right symptoms to alert is critical and requires care to minimize non-actionable alerts. Little is known about strategies to reduce alert burden on nursing. Methods: In this quality improvement initiative, we aimed to improve the nurse’s perception of alert utility and minimize “noise” or alerts that were not actionable. A continuous

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Kinanu Kiruki, Jane, Geoffrey Muchiri Muketha, and Gabriel Kamau. "A NOVEL ALERT CORRELATION TECHNIQUE FOR FILTERING NETWORK ATTACKS." International Journal of Network Security & Its Applications 15, no. 03 (2023): 33–47. http://dx.doi.org/10.5121/ijnsa.2023.15303.

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An alert correlation is a high-level alert evaluation technique for managing large volumes of irrelevant and redundant intrusion alerts raised by Intrusion Detection Systems (IDSs).Recent trends show that pure intrusion detection no longer can satisfy the security needs of organizations. One problem with existing alert correlation techniques is that they group related alerts together without putting their severity into consideration. This paper proposes a novel alert correlation technique that can filter unnecessary and low impact alerts from a large volume of intrusion. The proposed technique

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Jane, Kinanu Kiruki, Muchiri Muketha Geoffrey, and Kamau Gabriel. "A NOVEL ALERT CORRELATION TECHNIQUE FOR FILTERING NETWORK ATTACKS." International Journal of Network Security & Its Applications (IJNSA) 15, no. 3 (2023): 33–47. https://doi.org/10.5281/zenodo.8035611.

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An alert correlation is a high-level alert evaluation technique for managing large volumes of irrelevant and redundant intrusion alerts raised by Intrusion Detection Systems (IDSs).Recent trends show that pure intrusion detection no longer can satisfy the security needs of organizations. One problem with existing alert correlation techniques is that they group related alerts together without putting their severity into consideration. This paper proposes a novel alert correlation technique that can filter unnecessary and low impact alerts from a large volume of intrusion. The proposed technique

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Joglekar, Natasha N., Yatindra Patel, and Michelle S. Keller. "Evaluation of Clinical Decision Support to Reduce Sedative-Hypnotic Prescribing in Older Adults." Applied Clinical Informatics 12, no. 03 (2021): 436–44. http://dx.doi.org/10.1055/s-0041-1730030.

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Abstract Objective We sought to characterize the performance of inpatient and outpatient computerized clinical decision support (CDS) alerts aimed at reducing inappropriate benzodiazepine and nonbenzodiazepine sedative medication prescribing in older adults 18 months after implementation. Methods We reviewed the performance of two CDS alerts in the outpatient and inpatient settings in 2019. To examine the alerts' effectiveness, we analyzed metrics including overall alert adherence, provider-level adherence, and reasons for alert trigger and override. Results In 2019, we identified a total of 1

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Stoffel, Michelle, Sundeep Desai, Megan Laine, et al. "Lessons Learned from Creating Alert Governance during an Electronic Health Record Transition." ACI Open 06, no. 01 (2022): e50-e56. http://dx.doi.org/10.1055/s-0042-1749196.

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Abstract Background Our multihospital transition to a single electronic health record (EHR) provided an opportunity to transform alert governance. Our case provides insights into the unique challenges and opportunities of creating governance during a transition to meet both implementation and future alert management needs. ObjectivesThis case report describes the efforts of UW Medicine Information Technology Services to advance alert governance during EHR transition and highlights the opportunities to improve care quality and provider experience within a changing environment. Methods We used a

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Ghozali, Ahmad Lubis, Kuresih Kuresih, Kurnia Adi Cahyanto, Iryanto Iryanto, and Rahmat Gernowo. "Web Based Dashboard of Airplane Turbulence Mitigation." Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) 3, no. 11 (2024): 1821–26. https://doi.org/10.57185/jetbis.v3i11.158.

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Airplane accidents still occur frequently, one of which is caused by turbulence. To minimize the risk, an effective forecasting system is needed. This research focuses on developing a web-based dashboard for aircraft turbulence mitigation by considering factors such as convective cloud growth, Richardson number index, and wind shear. The dashboard was developed through four steps: requirement analysis, design, implementation, and verification. The Richardson number index (Ri) is calculated using a formula involving temperature and wind speed at different geopotential heights. Alert status is d

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Her, Qoua L., Mary G. Amato, Diane L. Seger, et al. "The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting." Journal of the American Medical Informatics Association 23, no. 5 (2016): 924–33. http://dx.doi.org/10.1093/jamia/ocv181.

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Abstract Background Experts suggest that formulary alerts at the time of medication order entry are the most effective form of clinical decision support to automate formulary management. Objective Our objectives were to quantify the frequency of inappropriate nonformulary medication (NFM) alert overrides in the inpatient setting and provide insight on how the design of formulary alerts could be improved. Methods Alert overrides of the top 11 ( n = 206) most-utilized and highest-costing NFMs, from January 1 to December 31, 2012, were randomly selected for appropriateness evaluation. Using an em

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Kramer, Joan S., Cynthia Borum, Evan L. Claxon, Kahari J. Wines, Sarah Fraker, and L. Hayley Burgess. "Impact of Clinical Pharmacy Surveillance on Pharmacy Services: A Quality Improvement Project." Journal of Healthcare Management 68, no. 5 (2023): 312–24. http://dx.doi.org/10.1097/jhm-d-22-00176.

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Goal: The purpose of this quality improvement project was to retrospectively evaluate pharmacist time to clinical surveillance alert intervention before and after implementing a pharmacy-directed alert priority category across a large for-profit United States health system with well-established clinical pharmacy surveillance software integrated into the clinical pharmacy workflow. The findings contributed to a financial evaluation of pharmacist productivity compared with drug spend for pharmacy-directed interventions that included intravenous (IV)-to-oral-conversion and renal dosing opportunit

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Patterson, Megan, Nicole E. Caston, Jeffrey Franks, et al. "Nursing strategies to improve alert closure for remote symptom monitoring." Journal of Clinical Oncology 40, no. 28_suppl (2022): 421. http://dx.doi.org/10.1200/jco.2022.40.28_suppl.421.

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421 Background: For successful remote symptom monitoring using patient-reported outcomes, nurses should respond to alerts in a timely fashion. Where clinical trials utilized research staff for alert management, the shift to standard-of-care delivery necessitates that this responsibility be added as a task to an already strained nursing workforce. Little is known about strategies to engage nurses to improve timeliness of alert management. Methods: In this quality improvement initiative, we aimed to improve timeliness of alert closures generated by moderate or severe symptoms within a remote sym

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Smoleński, Sylwester. "Meaning dualism and ambiguity of alert degrees in the Anti-Terrorist Activities Act." PRZEGLĄD POLICYJNY 150, no. 2 (2023): 355–64. http://dx.doi.org/10.5604/01.3001.0053.8548.

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The long-awaited act of June 10, 2016 on anti-terrorist measures introduced the institution of alert levels to the Polish legal system, i.e. universally applicable law. Unfortunately, in this act we come across the single-sounding phrase “alert levels” in two senses; sometimes as a set of 8 degrees referred to in the act, but sometimes also as 4 alert levels: Alpha, Bravo, Charlie, Delta. Moreover, in this act the abbreviation CRP (CRP alert levels) appears, which is not described anywhere. This article takes a closer look at the origins of today’s alert levels and presents the aforementioned

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Chen, Jinying, Sarah L. Cutrona, Ajay Dharod, et al. "Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics." JMIR Medical Informatics 11 (March 2, 2023): e43097. http://dx.doi.org/10.2196/43097.

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Background Clinical decision support (CDS) tools in electronic health records (EHRs) are often used as core strategies to support quality improvement programs in the clinical setting. Monitoring the impact (intended and unintended) of these tools is crucial for program evaluation and adaptation. Existing approaches for monitoring typically rely on health care providers’ self-reports or direct observation of clinical workflows, which require substantial data collection efforts and are prone to reporting bias. Objective This study aims to develop a novel monitoring method leveraging EHR activity

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Mei, Hai Bin, and Ming Hua Zhang. "Semi-Supervised Classification and its Application to Filtering IDS False Positives." Applied Mechanics and Materials 427-429 (September 2013): 2309–12. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2309.

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Alert classifiers built with the supervised classification technique require large amounts of labeled training alerts. Preparing for such training data is very difficult and expensive. Thus accuracy and feasibility of current classifiers are greatly restricted. This paper employs semi-supervised learning to build alert classification model to reduce the number of needed labeled training alerts. Alert context properties are also introduced to improve the classification performance. Experiments have demonstrated the accuracy and feasibility of our approach.

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Topaz, Maxim, Diane L. Seger, Sarah P. Slight, et al. "Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience." Journal of the American Medical Informatics Association 23, no. 3 (2015): 601–8. http://dx.doi.org/10.1093/jamia/ocv143.

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Objective There have been growing concerns about the impact of drug allergy alerts on patient safety and provider alert fatigue. The authors aimed to explore the common drug allergy alerts over the last 10 years and the reasons why providers tend to override these alerts. Design: Retrospective observational cross-sectional study (2004–2013). Materials and Methods Drug allergy alert data (n = 611,192) were collected from two large academic hospitals in Boston, MA (USA). Results Overall, the authors found an increase in the rate of drug allergy alert overrides, from 83.3% in 2004 to 87.6% in 201

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Gadhiya, Kinjal, Edgar Zamora, Salim M. Saiyed, David Friedlander, and David C. Kaelber. "Drug Alert Experience and Salience during Medical Residency at Two Healthcare Institutions." Applied Clinical Informatics 12, no. 02 (2021): 355–61. http://dx.doi.org/10.1055/s-0041-1729167.

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Abstract Background Drug alerts are clinical decision support tools intended to prevent medication misadministration. In teaching hospitals, residents encounter the majority of the drug alerts while learning under variable workloads and responsibilities that may have an impact on drug-alert response rates. Objectives This study was aimed to explore drug-alert experience and salience among postgraduate year 1 (PGY-1), postgraduate year 2 (PGY-2), and postgraduate year 3 (PGY-3) internal medicine resident physicians at two different institutions. Methods Drug-alert information was queried from t

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McRee, Griffith Russell. "Improved Detection and Response via Optimized Alerts: Usability Study." Journal of Cybersecurity and Privacy 2, no. 2 (2022): 379–401. http://dx.doi.org/10.3390/jcp2020020.

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Security analysts working in the modern threat landscape face excessive events and alerts, a high volume of false-positive alerts, significant time constraints, innovative adversaries, and a staggering volume of unstructured data. Organizations thus risk data breach, loss of valuable human resources, reputational damage, and impact to revenue when excessive security alert volume and a lack of fidelity degrade detection services. This study examined tactics to reduce security data fatigue, increase detection accuracy, and enhance security analysts’ experience using security alert output generat

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Rehr, Christine, Adrian Wong, Diane Seger, and David Bates. "Determining Inappropriate Medication Alerts from “Inaccurate Warning” Overrides in the Intensive Care Unit." Applied Clinical Informatics 09, no. 02 (2018): 268–74. http://dx.doi.org/10.1055/s-0038-1642608.

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Objective This article aims to understand provider behavior around the use of the override reason “Inaccurate warning,” specifically whether it is an effective way of identifying unhelpful medication alerts. Materials and Methods We analyzed alert overrides that occurred in the intensive care units (ICUs) of a major academic medical center between June and November 2016, focused on the following high-significance alert types: dose, drug-allergy alerts, and drug–drug interactions (DDI). Override appropriateness was analyzed by two independent reviewers using predetermined criteria. Results A to

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Desai, Jairaj, Enrique D. Saldivar-Carranza, Rahul Suryakant Sakhare, Jijo K. Mathew, and Darcy M. Bullock. "Impact of In-Cab Alerts on Connected Truck Speed Reductions in Indiana." Vehicles 6, no. 4 (2024): 1857–71. http://dx.doi.org/10.3390/vehicles6040090.

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Connected vehicle data have the potential to warn motorists of impending slowdowns and congestion in real time. Multiple data providers have recently begun providing in-cab alerts to commercial vehicle drivers. This study reports on one such deployment of in-cab alerts on 44 corridors in Indiana from April–June 2024. Approximately 20,000 alerts were analyzed, with 92% being Congestion alerts and 8% being Dangerous Slowdown alerts. Observations showed that 15% of trucks lowered their speeds by at least 5 mph 30 s after receiving a Congestion alert, while 21% of trucks reduced their speeds by at

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Nerella, Ome, Syed Musthak Ahmed, and Praveen Balakrishnan. "Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors." Journal of Nanomaterials 2023 (April 21, 2023): 1–18. http://dx.doi.org/10.1155/2023/7734847.

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Every year, ∼2,000 people are killed by lightning in India, with rural areas accounting for 94% of all lightning deaths. In rural locations, a weather and lightning alert system is crucial for alerting and raising awareness about severe weather and lightning. Only a few states in India have expensive lightning alert systems that send out alerts via SMS and mobile apps. Due to a lack of information about weather alert apps, poor network facility, low literacy, and less usage of smartphones, existing alert mechanisms is not reaching all rural populations. As a result, there is a need to build a

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Shon, Hyeon gy, Yoonho Lee, and MyungKeun Yoon. "Semi-Supervised Alert Filtering for Network Security." Electronics 12, no. 23 (2023): 4755. http://dx.doi.org/10.3390/electronics12234755.

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Network-based intrusion detection systems play a pivotal role in cybersecurity, but they generate a significant number of alerts. This leads to alert fatigue, a phenomenon where security analysts may miss true alerts hidden among false ones. To address alert fatigue, practical detection systems enable administrators to divide alerts into multiple groups by the alert name and the related Internet Protocol (IP) address. Then, some groups are deliberately ignored to conserve human resources for further analysis. However, the drawback of this approach is that the filtering basis is so coarse-grain

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Boyd, Aimée, Fiona C. Sampson, Fiona Bell, et al. "How consistent are pre-alert guidelines? A review of UK ambulance service guidelines." British Paramedic Journal 8, no. 4 (2024): 30–37. http://dx.doi.org/10.29045/14784726.2024.3.8.4.30.

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Aims: Ambulance pre-alerts are used to inform receiving emergency departments (EDs) of the arrival of critically unwell or rapidly deteriorating patients who need time-critical assessment or treatment immediately upon arrival. Inappropriate use of pre-alerts can lead to EDs diverting resources from other critically ill patients. However, there is limited guidance about how pre-alerts should be undertaken, delivered or communicated. We aimed to map existing pre-alert guidance from UK NHS ambulance services to explore consistency and accessibility of existing guidance.Methods: We contacted all U

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Afolabi-B, Oyinkansola Oluwapelumi Kemi, and Maheyzah MD Siraj. "Intrusion Alert Reduction Based on Unsupervised and Supervised Learning Algorithms." International Journal of Innovative Computing 11, no. 2 (2021): 25–34. http://dx.doi.org/10.11113/ijic.v11n2.331.

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Security and protection of information is an ever-evolving process in the field of information security. One of the major tools of protection is the Intrusion Detection Systems (IDS). For so many years, IDS have been developed for use in computer networks, they have been widely used to detect a range of network attacks; but one of its major drawbacks is that attackers, with the evolution of time and technology make it harder for IDS systems to cope. A sub-branch of IDS-Intrusion Alert Analysis was introduced into the research system to combat these problems and help support IDS by analyzing th

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Weinger, M. B., W. M. Gregg, K. B. Johnson, and M. Xie. "Presenting Multiple Drug Alerts in an Ambulatory Electronic Prescribing System." Applied Clinical Informatics 05, no. 02 (2014): 334–48. http://dx.doi.org/10.4338/aci-2013-10-ra-0092.

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SummaryObjective: This study explores alternative approaches to the display of drug alerts, and examines whether and how human-factors based interface design can be used to improve the prescriber’s perception about drug alert presentation, signal detection from noisy alert data, and their comprehension of clinical decision support during electronic prescribing.Methods: We reviewed issues with presenting multiple drug alerts in electronic prescribing systems. User-centered design, consisting of iterative usability and prototype testing was applied. After an iterative design phase, we proposed s

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Blum, Sabine, Linda Guida, Jean-Blaise Wasserfallen, and Anne Angelillo-Scherrer. "One Year Survey and Implications of an Hemophilic Computerized Alert System in an University Clinic." Blood 124, no. 21 (2014): 1507. http://dx.doi.org/10.1182/blood.v124.21.1507.1507.

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Abstract Hemophilia patients are confronted to several issues when being treated in urgent and non-urgent situations. Immediate factor substitution can be life or limb preserving. We installed a computerized haemophilia alert system so as to be informed when one of our patients is treated in another department. Patients admitted to the hospital with a bleeding disorder trigger an alert in the hematology department as well as in the department where the patient is actually located. We defined alerts as being false positive when an alert was triggered by the admission of a patient where interact

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Humphrey, Kate E., Maria Mirica, Shobha Phansalkar, Al Ozonoff, and Marvin B. Harper. "Clinician Perceptions of Timing and Presentation of Drug-Drug Interaction Alerts." Applied Clinical Informatics 11, no. 03 (2020): 487–96. http://dx.doi.org/10.1055/s-0040-1714276.

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Abstract Objective Alert presentation of clinical decision support recommendations is a common method for providing information; however, many alerts are overridden suggesting presentation design improvements can be made. This study attempts to assess pediatric prescriber information needs for drug–drug interactions (DDIs) alerts and to evaluate the optimal presentation timing and presentation in the medication ordering process. Methods Six case scenarios presented interactions between medications used in pediatric specialties of general medicine, infectious disease, cardiology, and neurology.

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