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Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review

Santino R. Rellum, Jaap Schuurmans, Ward H. van der Ven, Susanne Eberl, Antoine H. G. Driessen, Alexander P. J. Vlaar, Denise P. Veelo
2021 Journal of Thoracic Disease  
We conducted a scoping review to examine the extent and potential limitations of ML implementation in perioperative anesthetic care, specifically in cardiac surgery patients.  ...  Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review. J Thorac Dis 2021.  ...  In line with their expectation, the predictive values of the models showed better performance in the balanced sets, with the best predictions for an LR and RF model and the least for a BN model that still  ... 
doi:10.21037/jtd-21-765 fatcat:lrqsu454ivdnvlhgdgudlqfb7q

A Generic Discrete-Event Simulation Model for Outpatient Clinics in a Large Public Hospital

Waressara Weerawat, Juta Pichitlamken, Peerapong Subsombat
2013 Journal of Healthcare Engineering  
The orthopedic outpatient department (OPD) ward in a large Thai public hospital is modeled using Discrete-Event Stochastic (DES) simulation.  ...  By considering various KPIs such as wait times to see doctors, percentage of patients who can see a doctor within a target time frame, and the time that the last patient completes their doctor consultation  ...  ACKNOWLEDGEMENTS We would like to thank our reviewers and the editor for their careful reading, and constructive feedback.  ... 
doi:10.1260/2040-2295.4.2.285 pmid:23778015 fatcat:2a3gzjwarrgbfmqn2whl7qxcni

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
A hybrid (analogue and digital) CARS 2020 has therefore been envisaged to take place at the University Hospital in Munich, with a balanced combination of analogue/personal and digital presentations and  ...  In the times of COVID-19 overshadowing CARS 2020 and what the future may hold, a CARS meeting with these numbers of participants is not feasible anymore and new ways have to be explored to still fulfill  ...  Conclusion This work attempts to provide and validate a self-sustained tool for the automatic performance assessment of virtual temporal bone dissection performed within a mastoidectomy surgical simulator  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

Trade-offs in operating room planning for electives and emergencies: A review

Carla Van Riet, Erik Demeulemeester
2015 Operations Research for Health Care  
As a result, a need for policies guiding the OR manager in handling the trade-offs arises.  ...  Therefore, researchers have investigated different possibilities to incorporate non-elective patients in the schedule with the goal of maximizing both patient-and hospital-related measures.  ...  Persson and Persson [71] model an optimization model (a MIP) and incorporate it in a simulation model.  ... 
doi:10.1016/j.orhc.2015.05.005 fatcat:qswvhpowdrbsfo3a7zywsqt7k4

Information Technology research challenges for healthcare

Susan Graham, Deborah Estrin, Eric Horvitz, Isaac Kohane, Elizabeth Mynatt, Ida Sim
2011 ACM SIGHIT Record  
More and more patients are suffering from chronic illnesses (such as cancer and diabetes) that require continuous attention and care.  ...  of relevant contextual data (e.g., indoor and outdoor air quality, exposures to toxins) can collectively better inform multiple healthcare stakeholders including doctors, provider teams, patients, caregivers  ...  For example, information about the actions, assessments, and flow of activity among members of a surgical team during a surgery procedure, about the post-surgical course, and about the patient's post-discharge  ... 
doi:10.1145/1971706.1971708 fatcat:zc63v2ymkzhzpdhnvjqye6yw7m

Object oriented framework for healthcare simulation

Akshay Venkitasubramanian, Stephen D Roberts, Jeffrey A Joines
2015 2015 Winter Simulation Conference (WSC)  
In addition to this, we present four intuitive axioms to assist future simulation software developers and modelers in assessing the utility of simulation toolkit and models.  ...  In this thesis, we present a model development process that takes advantage of expertise of simulation community in facility-specific models and extend it to the development of complex integrated multi-facility  ...  Stephen D Roberts and Dr. Jeffery A Joines for tirelessly working with him and instilling a culture of academic research.  ... 
doi:10.1109/wsc.2015.7408266 dblp:conf/wsc/Venkitasubramanian15 fatcat:eow7nv3mdvg5jki75tvd5b3ocq

Abstracts from the 5th International Conference on Prevention & Infection Control (ICPIC 2019)

2019 Antimicrobial Resistance and Infection Control  
Results: Overall, 837 patients and 274 HCWs were included. 76.9% of ILI patients were hospitalized in geriatric ward, 20.9% in medical ward and 2.2% in surgical ward.  ...  Results: 468 patients were surveyed in 30 adult wards, of which 48.8% were on AM treatment (43% in medical wards, 47% in surgical wards and 71% in ICU).  ...  At the same time, we chose medical wards and Surgical wards without CHG use as parallel controls to show the effect of CHG by difference-in-difference model.  ... 
doi:10.1186/s13756-019-0567-6 fatcat:mm5lbh6wbjdo7lw2kdb4ccoxru

Meeting abstracts from International Conference on Prevention & Infection Control (ICPIC 2017)

2017 Antimicrobial Resistance and Infection Control  
We developed a spatially-explicit stochastic individual-based model and used statistical inference to estimate ward-specific transmission rates and simulate the impact of control measures.  ...  Assuming no control measures, model simulations predicted an outbreak of 44 colonized patients [43.7,44.9 ].  ...  Results: Of 127 patients admitted in a total of five wards surveyed, 117 patients (92.9%) received one or more antimicrobials.  ... 
doi:10.1186/s13756-017-0201-4 fatcat:5lftat4pirbsfpneso5rxy345u

Challenges in Developing Effective Clinical Decision Support Systems [chapter]

Kamran Sartipi, Norman P., Mohammad H.
2011 Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain  
To meet demands arising from these improved services, new tools, methods, and business models must emerge.  ...  This long overdue opportunity is expected to reduce high costs and medical errors in patient diagnosis and treatment; enhance the way healthcare providers interact; increase personal health knowledge of  ...  Physician Order Entry (POE) method in reducing dose and frequency medication errors in a neonatal ward.  ... 
doi:10.5772/17837 fatcat:wwkym7za6rblhkdv2pxi32kgxm

Whole-Genome Sequencing of Bacterial Pathogens: the Future of Nosocomial Outbreak Analysis

Scott Quainoo, Jordy P. M. Coolen, Sacha A. F. T. van Hijum, Martijn A. Huynen, Willem J. G. Melchers, Willem van Schaik, Heiman F. L. Wertheim
2017 Clinical Microbiology Reviews  
In this review, we assess the feasibility of WGS technologies and bioinformatics analysis tools for nosocomial outbreak analyses and provide a comparison to conventional outbreak analysis workflows.  ...  SUMMARY Outbreaks of multidrug-resistant bacteria present a frequent threat to vulnerable patient populations in hospitals around the world.  ...  J.P.M.C. and W.V.S. participated in the MinION Access Programme of Oxford Nanopore Technologies.  ... 
doi:10.1128/cmr.00016-17 pmid:28855266 pmcid:PMC5608882 fatcat:antprrbivbfabkae3sgco56gde

ESICM 2010 MONDAY SESSIONS 11 October 2010

2010 Intensive Care Medicine  
density and microvascular flow in mixed surgical patients.  ...  METHODS. 18 surgical patients were included in this study. Patients were randomly assigned into two groups as patients receiving fresh BTX (Group A) and patients receiving aged BTX (Group B).  ...  To build a cost-effectiveness model for patients undergoing either a TAVI procedure or a surgical AVR based on the level of care: Level1 (ward based care), Level2 (high dependency unit) and Level3 (intensive  ... 
doi:10.1007/s00134-010-1999-x fatcat:jkp76chtb5ejplqpoxfmxs72r4

ePosters

2021 Journal of Medical Radiation Sciences  
Conclusion: Preliminary data suggests that full-body CT demonstrates a decrease in mortality and emergency department length of stay. Findings on other outcomes will be discussed at the presentation.  ...  Methods: A search strategy was developed using the keywords: computed tomography OR CT AND X-ray OR other imaging modalities AND trauma.  ...  Prediction performance of the CNN model was evaluated with accuracy, sensitivity and specificity. Results: Image classes of skull X-ray images were automatically predicted by the CNN model.  ... 
doi:10.1002/jmrs.482 pmid:34080801 fatcat:z4ccacmaz5aa5m4kd54hdntfn4

Meeting abstracts from the 5th International Clinical Trials Methodology Conference (ICTMC 2019)

2019 Trials  
This study will compare those models using real TQT studies as well as simulated datasets and assess the statistical performances in terms of model convergence, predictive accuracy, type I error and power  ...  Discussion: A phased approach is needed to assess the impact of a prediction model (such as the PREP model) in clinical practice.  ...  Various deterministic and stochastic statistical models have been developed and published to model the process.  ... 
doi:10.1186/s13063-019-3688-6 pmid:31639031 pmcid:PMC6805286 fatcat:arl4zrirdnho3bwxzg3a66hd24

Abstracts from the 6th international conference on prevention & infection control (ICPIC 2021)

2021 Antimicrobial Resistance and Infection Control  
The "voice" signal was emitted by the artificial voice of an acoustic head and torso simulator (HATS) and was one of two types of sound: the STI test waveform or the the Harvard sentences sound waveform  ...  The re-usable elastomeric respirator innovation had a 0.03 less in speech intelligibility than, single use N95 STI rating.  ...  Conclusion: A sensor-based platform with automated HH compliance and quality monitoring, real time feedback and comprehensive individual level analysis, improved providers' HH compliance in an ICU.  ... 
doi:10.1186/s13756-021-00974-z fatcat:uk252elhrbepnotlhlivijjkci

Controlling Healthcare-Associated Infections in the International Research Setting

Catherine Godfrey, Christie Villa, Liza Dawson, Susan Swindells, Jeffrey T. Schouten
2013 Journal of Acquired Immune Deficiency Syndromes  
A stochastic model predicted that a 12% improvement in adherence to hand hygiene policies or in cohorting levels might have compensated for staff shortages and prevented transmission during periods of  ...  In a study that used a stochastic model of transmission dynamics, Cooper and colleagues 176 predicted that improving hand hygiene compliance from very low levels to 20% or 40% significantly reduced transmission  ...  , to assessing the cleanliness of environmental surfaces in a health-care setting (not directly related to hand hygiene) and advice regarding products intended for surgical hand scrub.  ... 
doi:10.1097/qai.0b013e3182845b95 pmid:24135735 pmcid:PMC3801291 fatcat:5kxnkimpjbeaxaymtlh75j72qu
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