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Rating organ failure via adverse events using data mining in the intensive care unit

Álvaro Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves
2008 Artificial Intelligence in Medicine  
Conclusion: Adverse events, taken from bedside monitored data, are important 28. intermediate outcomes, contributing to a timely recognition of organ dysfunction 29. and failure during ICU length of stay  ...  The obtained results show that is possible to 30. use DM methods to get knowledge from easy obtainable data, thus opening room 31. for the development of intelligent clinical alarm monitoring. 32.  ...  One of the most promising recent developments in intensive care consists in the 52. use of artificial intelligence/data mining techniques [1, 10] .  ... 
doi:10.1016/j.artmed.2008.03.010 pmid:18486459 fatcat:x5qmr7yjkjantdloba56uepzuu

Overview of medical errors and adverse events

Maité Garrouste-Orgeas, François Philippart, Cédric Bruel, Adeline Max, Nicolas Lau, B Misset
2012 Annals of Intensive Care  
Quality assurance is a complex task, and patients in the intensive care unit (ICU) are more likely than other hospitalized patients to experience medical errors, due to the complexity of their conditions  ...  Medication errors are the most common medical errors and can induce adverse events.  ...  Acknowledgements The authors thank A. Wolfe, MD, for helping to prepare this manuscript.  ... 
doi:10.1186/2110-5820-2-2 pmid:22339769 pmcid:PMC3310841 fatcat:63olplto35gfvg4thipu6gajqq

Pharmacovigilance: An Active Surveillance System to Proactively Identify Risks for Adverse Events

Christopher Moses, Leo A. Celi, John Marshall
2013 Population health management  
Systematic clinical data mining can accelerate the speed at which adverse event ''signals'' can be detected.  ...  to one of the Beth Israel Deaconess Medical Center intensive care units (ICUs) since August 2001. 9 MIMIC-II is a free, open access ICU data set ensconced within a model for collaborative data-fueled  ... 
doi:10.1089/pop.2012.0100 pmid:23530466 pmcid:PMC5704747 fatcat:hjpoq7tfsfevpgg4xdtuwhnzyq

The eICU: It's not just telemedicine

Leo Anthony Celi, Erkan Hassan, Cynthia Marquardt, Michael Breslow, Brian Rosenfeld
2001 Critical Care Medicine  
Intensive care units (ICUs) are major sites for medical errors and adverse events.  ...  Suboptimal outcomes reflect a widespread failure to implement care delivery systems that successfully address the complexity of modern ICUs.  ...  T he United States is facing an anticipated dramatic rise in demand for intensive care unit (ICU) services.  ... 
doi:10.1097/00003246-200108001-00007 pmid:11496041 fatcat:kfnlqfvl7zhvdcl3vbvprini5a

FACTORS IN MEDICATION ERRORS ASSOCIATED WITH SEVERITY OF HARM

Lisa Matheson
2017 Zenodo  
In the United States, adverse event data are collected by healthcare facilities and voluntarily submitted to Patient Safety Organizations (PSO).  ...  Databases have been created to document adverse patient events and are used to collect, analyze, and trend data associated with medication errors.  ...  A comprehensive literature search was predictive analysis, data mining, big data, intensive care unit medication errors, Swiss cheese model, Dr.  ... 
doi:10.5281/zenodo.4460912 fatcat:aqn6bhk4bfgl7ezasxu7pfrday

Evaluation of Serious Adverse Drug Reactions

Charles L. Bennett
2007 Archives of Internal Medicine  
These efforts are frequently based on data mining of databases.  ...  In 1998, investigators initiated the Research on Adverse Drug events And Reports (RADAR) project to investigate reports of serious adverse drug reactions (ADRs) and prospectively obtain information on  ...  World Health Organization criteria are used to score causal associations between the suspect drug and the event. The RADAR investigators refine hypotheses about pathophysiologic features.  ... 
doi:10.1001/archinte.167.10.1041 pmid:17533207 fatcat:nrkw755ibrhs3mss2drjvaqh4m

Early enteral feedings in adults receiving venovenous extracorporeal membrane oxygenation

LK Scott, K Boudreaux, F Thaljeh, LR Grier, SA Conrad
2004 JPEN - Journal of Parenteral and Enteral Nutrition  
Effects of an immune-enhancing diet in critically injured patients. J Trauma. 1997;42:933-940. . Montejo JC, Zarazaga A, Lopez-Martinez J, et al. Immunonutri- tion in the intensive care unit.  ...  Adverse Events No serious adverse events as defined above that could be related to enteral nutrition were noted.  ... 
doi:10.1177/0148607104028005295 pmid:15449567 fatcat:l6cl4hjmibgbdcyqg2cbzlvv5q

Retrospective data collection and analytical techniques for patient safety studies

Matthew B. Weinger, Jason Slagle, Sonia Jain, Nelda Ordonez
2003 Journal of Biomedical Informatics  
In contrast, in the same hospitals over a two-year period, we collected event data on 135 cases identified with traditional quality improvement processes (event incidence of 0.7-2.7%).  ...  Preliminary analyses not only illustrate some of the analytical methods applicable to safety data but also provide insight into the potential value of the non-routine event approach for the early detection  ...  Some of this work was presented at the Spring Meeting of the American Medical Informatics Association on November 5, 2001, in Washington, DC, USA.  ... 
doi:10.1016/j.jbi.2003.08.002 pmid:14552852 fatcat:tgjax7x4rrakxn6e3kkicxegqm

Indicators to improve clinical quality across an integrated health care system

D. J. Ballard
2003 International Journal for Quality in Health Care  
The Baylor Health Care System (BHCS) is an integrated health care delivery organization in Dallas-Fort Worth, Texas.  ...  , and adverse drug events.  ...  Adverse drug events In the autumn of 2001, BHCS hospitals participated in a VHA Inc. study on Adverse Drug Events (ADEs) [25] .  ... 
doi:10.1093/intqhc/mzg080 pmid:14660519 fatcat:vwtcq7y5qbaw3lt6jiiwc5zlka

FDA Regulation of Medical Devices and Medical Device Reporting

Teow N Siegel SJ
2013 Pharmaceutical Regulatory Affairs Open Access  
There are three main stakeholders in medical device regulation: people in industry, regulators and practitioners. A medical device report is filed after a device-related adverse event occurs.  ...  a medical device failure, but only 19% have ever filed a medical device report.  ...  adverse events.  ... 
doi:10.4172/2167-7689.1000110 fatcat:qxm7wsq5yfha7ivznbkg3p2674

Mortality assessment in intensive care units via adverse events using artificial neural networks

Álvaro Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves
2006 Artificial Intelligence in Medicine  
Objective: This work presents a novel approach for the prediction of mortality in intensive care units (ICUs) based on the use of adverse events, which are defined from four bedside alarms, and artificial  ...  heart rate).  ...  Acknowledgments We thank FRICE and the BIOMED project BMH4-CT96-0817 for the provision of part of the EURICUS II data and support for this study, which is integrated in a PhD program, developed at Instituto  ... 
doi:10.1016/j.artmed.2005.07.006 pmid:16213693 fatcat:l5urwjg2jjgindllvuhbedaufu

Law, Technology and Patient Safety

Kathryn Zeiler, Gregory Hardy
2018 Social Science Research Network  
This technology might prove useful in moving us towards the collection of more accurate data on adverse events arising from medical care.  ...  See id. 52. 54 . 54 See e.g., Hans Rutberg et al., Adverse Events in Orthopedic Care Identified Via the Global Trigger Tool in Sweden -Implications on Preventable Prolonged Hospitalizations, 10 PATIENT  ...  A second potential hurdle is the questionable usefulness of anonymously gathered data.  ... 
doi:10.2139/ssrn.3257555 fatcat:5njyytclbbezxjw5nuf4ngc3ky

icuARM-An ICU Clinical Decision Support System Using Association Rule Mining

Chih-Wen Cheng, Nikhil Chanani, Janani Venugopalan, Kevin Maher, May Dongmei Wang
2013 IEEE Journal of Translational Engineering in Health and Medicine  
(GUI) for care providers to perform real-time data and information mining in the ICU setting.  ...  The rapid development of biomedical monitoring technologies has enabled modern intensive care units (ICUs) to gather vast amounts of multimodal measurement data about their patients.  ...  ACKNOWLEDGMENT The authors are grateful to Dr. John Phan, Chanchala Kaddi, and Po-Yen Wu for their valuable comments and suggestions.  ... 
doi:10.1109/jtehm.2013.2290113 pmid:27170860 pmcid:PMC4847478 fatcat:k7nwmrcnbrbbfiob235v3akwmi

Assessing efficacy of CytoSorb haemoadsorber for prevention of organ dysfunction in cardiac surgery patients with infective endocarditis: REMOVE-protocol for randomised controlled trial

Mahmoud Diab, Stephanie Platzer, Albrecht Guenther, Christoph Sponholz, Andre Scherag, Thomas Lehmann, Ilia Velichkov, Stefan Hagel, Michael Bauer, Frank M Brunkhorst, Torsten Doenst
2020 BMJ Open  
Data on 30-day mortality, changes in cytokines levels, duration of mechanical ventilation, length of intensive care unit and hospital stay, and postoperative stroke will be collected as secondary endpoints  ...  The change in mean total SOFA (∆ SOFA) score between preoperative and postoperative care will be used as primary endpoint.  ...  Acknowledgements We would like to thank Mrs Cornelia Eichhorn for helping in preparing the protocol and Mrs Wibke Wetzker for editorial assistance.  ... 
doi:10.1136/bmjopen-2019-031912 pmid:32234739 pmcid:PMC7170567 fatcat:heuohr5lmnak3bxtypuru75dai

The Informatics Opportunities at the Intersection of Patient Safety and Clinical Informatics

P. M. Kilbridge, D. C. Classen
2008 JAMIA Journal of the American Medical Informatics Association  
, incentives for adoption of electronic health records, support for adverse event detection and reporting, and greater investment in research at the intersection of informatics and patient safety.  ...  Effective use of informatics to enhance safety requires the establishment and use of standards for concept definitions and for data exchange, development of acceptable models for knowledge representation  ...  of adverse events, and the use of informatics incentives in pay-for-performance programs.  ... 
doi:10.1197/jamia.m2735 pmid:18436896 pmcid:PMC2442268 fatcat:ul6clrcimzcfnn7ozv5osusfsu
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