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Related Concept Videos

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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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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General Anesthesia: Overview01:24

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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.
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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Local Anesthetics: Clinical Application as Spinal Anesthesia01:11

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Spinal anesthetics are given during lower abdomen and limb surgeries to block sensory and motor neurons. They are administered in the mid to low lumbar regions, primarily acting on the cauda equina's nerve roots. The blockade level depends on the local anesthetic (LA) concentration. Usually, low LA concentrations are sufficient to block sensory fibers, while only high LA concentrations block motor fibers. Other factors like injection volume and speed, the patient's posture, and the drug...
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Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia01:16

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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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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Data, Big Data, and Metadata in Anesthesiology.

Matthew A Levin1, Jonathan P Wanderer, Jesse M Ehrenfeld

  • 1From the *Department of Anesthesiology, Icahn School of Medicine at Mount Sinai, New York, New York; Departments of †Anesthesiology, ‡Biomedical Informatics, §Health Policy, and ∥Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee.

Anesthesia and Analgesia
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Summary
This summary is machine-generated.

Digital data creation is rapidly expanding, doubling every two years. This exponential growth necessitates new Big Data management and analysis techniques.

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Area of Science:

  • Computer and Information Science
  • Data Science

Background:

  • The digital universe has experienced exponential growth, doubling data volume every two years since 2005.
  • Driven by social media and mobile devices, individual-generated data now constitutes a significant portion of the digital universe.
  • Online transactions and communications contribute to a massive pool of data stored in cloud-based data centers.

Purpose of the Study:

  • To define and contextualize the phenomenon of Big Data.
  • To highlight the challenges posed by the increasing volume, velocity, and variety of digital information.
  • To underscore the need for advanced data management and analysis strategies.

Main Methods:

  • Analysis of historical digital data growth trends.
  • Examination of key drivers of data generation, including social media and mobile technology.
  • Review of data storage and transmission paradigms, such as cloud computing.

Main Results:

  • Digital data creation has grown from 132 exabytes in 2005 to an estimated 4.4 zettabytes in 2013, projected to reach 44 zettabytes by 2020.
  • Individuals are the primary generators of digital information, accounting for approximately 75% of the total.
  • The sheer scale of data accumulation necessitates specialized Big Data techniques.

Conclusions:

  • The term Big Data accurately reflects the need for novel approaches to handle massive datasets.
  • Existing data management and analysis methods are insufficient for the current scale of digital information.
  • The ongoing explosion of digital data requires continuous innovation in data science and technology.