250,345 research outputs found

    Improvements in data quality for decision support in intensive care

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    Nowadays, there is a plethora of technology in hospitals and, in particular, in intensive care units. The clinical data produced everyday can be integrated in a decision support system in real-time to improve quality of care of the critically ill patients. However, there are many sensitive aspects that must be taken into account, mainly the data quality and the integration of heterogeneous data sources. This paper presents INTCare, an Intelligent Decision Support System for Intensive Care in real-time and addresses the previous aspects, in particular, the development of an Electronic Nursing Record and the improvements in the quality of monitored data.Fundação para a Ciência e a Tecnologia (FCT

    Enabling ubiquitous data mining in intensive care: Features selection and data pre-processing

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    Ubiquitous Data Mining and Intelligent Decision Support Systems are gaining interest by both computer science researchers and intensive care doctors. Previous work contributed with Data Mining models to predict organ failure and outcome of patients in order to support and guide the clinical decision based on the notion of critical events and the data collected from monitors in real-time. This paper addresses the study of the impact of the Modified Early Warning Score, a simple physiological score that may allow improvements in the quality and safety of management provided to surgical ward patients, in the prediction sensibility. The feature selection and data pre-processing are also detailed. Results show that for some variables associated to this score the impact is minimal.Fundação para a Ciência e a Tecnologia (FCT

    End-of-life care in a pediatric intensive care unit: the impact of the development of a palliative care unit

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    Background: The purpose of this paper is to describe how end-of-life care is managed when life-support limitationis decided in a Pediatric Intensive Care Unit and to analyze the influence of the further development of the Palliative Care Unit. Methods: A 15-year retrospective study of children who died after life-support limitation was initiated in a pediatric intensive care unit. Patients were divided into two groups, pre- and post-palliative care unit development. Epidemiological and clinical data, the decision-making process, and the approach were analyzed. Data was obtained from patient medical records. Results: One hundred seventy-five patients were included. The main reason for admission was respiratory failure (86/175). A previous pathology was present in 152 patients (61/152 were neurological issues). The medical team and family participated together in the decision-making in 145 cases (82.8%). The family made the request in 10 cases (9 vs. 1, p = 0.019). Withdrawal was the main life-support limitation (113/175), followed by withholding lifesustaining treatments (37/175). Withdrawal was more frequent in the post-palliative group (57.4% vs. 74.3%, p = 0.031). In absolute numbers, respiratory support was the main type of support withdrawn. Conclusions: The main cause of life-support limitation was the unfavourable evolution of the underlying pathology. Families were involved in the decision-making process in a high percentage of the cases. The development of the Palliative Care Unit changed life-support limitation in our unit, with differences detected in the type of patient and in the strategy used. Increased confidence among intensivists when providing end-of-life care, and the availability of a Palliative Care Unit may contribute to improvements in the quality of end-of-life care

    Rhode Island Quality Institute: A Statewide Partnership to Improve Health Care Quality

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    Describes the first state-initiated public-private partnership for quality improvement and the establishment of an independent nonprofit organization to coordinate efforts. Examines elements of success, including leadership structure, and lessons learned

    Committed to Safety: Ten Case Studies on Reducing Harm to Patients

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    Presents case studies of healthcare organizations, clinical teams, and learning collaborations to illustrate successful innovations for improving patient safety nationwide. Includes actions taken, results achieved, lessons learned, and recommendations

    Fall 09 Prescriptions for Excellence Download Full PDF

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    Study protocol for the Anesthesiology Control Tower—Feedback Alerts to Supplement Treatments (ACTFAST-3) trial: A pilot randomized controlled trial in intraoperative telemedicine [version 1; referees: 2 approved]

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    Background: Each year, over 300 million people undergo surgical procedures worldwide. Despite efforts to improve outcomes, postoperative morbidity and mortality are common. Many patients experience complications as a result of either medical error or failure to adhere to established clinical practice guidelines. This protocol describes a clinical trial comparing a telemedicine-based decision support system, the Anesthesiology Control Tower (ACT), with enhanced standard intraoperative care. Methods: This study is a pragmatic, comparative effectiveness trial that will randomize approximately 12,000 adult surgical patients on an operating room (OR) level to a control or to an intervention group. All OR clinicians will have access to decision support software within the OR as a part of enhanced standard intraoperative care. The ACT will monitor patients in both groups and will provide additional support to the clinicians assigned to intervention ORs. Primary outcomes include blood glucose management and temperature management. Secondary outcomes will include surrogate, clinical, and economic outcomes, such as incidence of intraoperative hypotension, postoperative respiratory compromise, acute kidney injury, delirium, and volatile anesthetic utilization. Ethics and dissemination: The ACTFAST-3 study has been approved by the Human Resource Protection Office (HRPO) at Washington University in St. Louis and is registered at clinicaltrials.gov (NCT02830126). Recruitment for this protocol began in April 2017 and will end in December 2018. Dissemination of the findings of this study will occur via presentations at academic conferences, journal publications, and educational materials
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