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Related Concept Videos

General Anesthesia: Overview01:24

General Anesthesia: Overview

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Anesthesia is a medical procedure that uses drugs for CNS suppression to enable painless surgeries and procedures. The selection of anesthetics is influenced by their pharmacokinetic properties, side effects, and patient characteristics. Various types of anesthesia include general, local, regional, spinal, and inhalational.
General anesthesia induces unconsciousness in the whole body, while the others target specific areas or sensations. It is administered to minimize adverse effects, maintain...
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Inhalational Anesthetics: Overview01:20

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Inhalation anesthetics are drugs that induce general anesthesia upon inhalation. They work by increasing the sensitivity of GABAA receptors or inhibiting NMDA receptors, leading to a decrease in central nervous system activity. The depth of anesthesia can be rapidly adjusted by changing the concentration of the inhaled gas. Some common examples of inhalational anesthetics include volatile liquids like isoflurane, desflurane, sevoflurane and gases like xenon and nitrous oxide. Isoflurane, a...
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Local Anesthetics: Clinical Application as Epidural Anesthesia01:29

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Epidural anesthetics are administered in the fat-filled epidural space, the outermost part of the spinal canal. This technique is commonly employed for pain management and anesthesia during lower abdomen and pelvis surgeries or labor and delivery.
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
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Stages of General Anesthesia01:22

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Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...
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Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia01:16

Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia

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Intravenous regional anesthesia or the Bier block technique is used to anesthetize a specific limb or extremity. It uses exsanguinated or blood-drained vessels to transport local anesthetics or LAs to the peripheral nerve trunks. Lidocaine without vasoconstrictors like epinephrine is most commonly used for this technique. Other drugs used are prilocaine, ropivacaine, and chloroprocaine. Bupivacaine is not recommended for this technique due to its high cardiac toxicity.
One of the advantages of...
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Recording Brain Electromagnetic Activity During the Administration of the Gaseous Anesthetic Agents Xenon and Nitrous Oxide in Healthy Volunteers
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Metadata from data: identifying holidays from anesthesia data.

Joseph R Starnes1, Jonathan P Wanderer, Jesse M Ehrenfeld

  • 1Department of Anesthesiology, Vanderbilt University Medical Center, 1301 Medical Center Dr., Nashville, TN, 37232, USA, Joseph.R.Starnes@vanderbilt.edu.

Journal of Medical Systems
|March 4, 2015
PubMed
Summary
This summary is machine-generated.

Researchers can automatically generate crucial metadata by distinguishing holidays from workdays using anesthesia data. This method accurately classifies days, enabling better economic analysis and scheduling.

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Area of Science:

  • Healthcare Informatics
  • Data Science
  • Anesthesiology

Background:

  • Large research databases require high-quality metadata, which is often unavailable.
  • Automated metadata generation is needed to address data quality challenges.

Purpose of the Study:

  • To develop and validate a method for automatically generating metadata by classifying days into holidays/weekends and workdays.
  • To analyze differences in surgical volume trends between holidays and workdays over time.

Main Methods:

  • Utilized cluster analysis and expectation-maximization on anesthesia data from 2004-2014.
  • Classified 3802 days with a 0.13% error rate using anesthesia case times.
  • Validated the method with alternative metrics like billed anesthesia hours and case counts.

Main Results:

  • Successfully distinguished holidays/weekends from workdays using anesthesia data.
  • Surgical volume demonstrated a significantly faster increase over time on non-holidays compared to holidays (p < 0.001).
  • The method proved effective and adaptable for similar bimodal or multimodal variables.

Conclusions:

  • Anesthesia data can be effectively leveraged to generate essential metadata for distinguishing between holidays and workdays.
  • This automated metadata generation facilitates improved economic analysis and operational scheduling.
  • The proposed methodology shows potential for broader application in analyzing other types of time-series data.