AIMC Topic: Critical Illness

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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.

Critical care medicine Apr 1, 2020
OBJECTIVES: As the performance of a conventional track and trigger system in a rapid response system has been unsatisfactory, we developed and implemented an artificial intelligence for predicting in-hospital cardiac arrest, denoted the deep learning...
Retrospective Studies Critical Illness Female Adult Humans Artificial Intelligence Algorithms Vital Signs Heart Arrest Clinical Deterioration Hospital Rapid Response Team Male Middle Aged Risk Assessment ROC Curve
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Illinois Female Male Middle Aged Retrospective Studies Risk Assessment Time Factors Humans ROC Curve Critical Illness Machine Learning Follow-Up Studies Intensive Care Units Patient Readmission Electronic Health Records
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Time Factors Hospital Mortality ROC Curve Decision Support Systems, Clinical Middle Aged Comorbidity Severity of Illness Index Sepsis Heart Rate Sex Factors Academic Medical Centers Time-to-Treatment Socioeconomic Factors Electrocardiography Age Factors Blood Pressure Humans Machine Learning Critical Illness Intensive Care Units Electronic Health Records Female Aged Male Organ Dysfunction Scores Vital Signs
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Automatic health record review to help prioritize gravely ill Social Security disability applicants.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited service under the Compassionate Allowance (CAL) initiative, but CAL software focuses exclusively on i...
Information Storage and Retrieval Eligibility Determination Insurance, Disability Social Security Humans Critical Illness Electronic Health Records ROC Curve Persons with Disabilities United States Decision Trees Natural Language Processing Disability Evaluation
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A simplified chart for determining the initial loading dose of teicoplanin in critically ill patients.

Die Pharmazie Jan 10, 2017
AIM OF THE STUDY: A simplified chart to determine the initial loading dose of teicoplanin (TEIC chart) for achieving the target trough concentration was developed. The aim of the present study was to evaluate the usefulness of this chart in criticall...
Predictive Value of Tests Staphylococcal Infections Infections Reproducibility of Results Anti-Bacterial Agents Adult Aged Teicoplanin Retrospective Studies Humans Male Aged, 80 and over Critical Illness Software Young Adult Middle Aged Female Algorithms Adolescent
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Natural Language Processing to Assess Documentation of Features of Critical Illness in Discharge Documents of Acute Respiratory Distress Syndrome Survivors.

Annals of the American Thoracic Society Sep 1, 2016
RATIONALE: Transitions to outpatient care are crucial after critical illness, but the documentation practices in discharge documents after critical illness are unknown.
Humans Natural Language Processing Multivariate Analysis Critical Illness Patient Discharge Length of Stay Survivors Intensive Care Units Aged Documentation United States Transitional Care Female Male Medical Informatics Respiratory Distress Syndrome Middle Aged Regression Analysis Respiration, Artificial
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Co-creating critical limits for enhanced acute care: proven need and web knowledge base. Part 1: A call to action!

MLO: medical laboratory observer Dec 1, 2015
Critical Illness Internet Knowledge Bases Clinical Laboratory Services Humans
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[The influence of the sedation based on remifentanil analgesia on the occurrence of delirium in critically ill patients].

Zhonghua wei zhong bing ji jiu yi xue Oct 1, 2015
OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on the occurrence of delirium in critically ill patients in intensive care unit (ICU).
Humans Prospective Studies Critical Illness Intensive Care Units Midazolam Pain Analgesia Respiration, Artificial Delirium Kaplan-Meier Estimate Remifentanil Piperidines Hypnotics and Sedatives Arterial Pressure Dexmedetomidine
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