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Related Concept Videos

Analgesia and Pain Management01:25

Analgesia and Pain Management

Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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Pericarditis IV: Nursing Management01:25

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Pericarditis, an inflammation of the pericardium, necessitates diligent nursing management to ensure effective patient care and recovery. The initial step in managing pericarditis is a comprehensive patient medical assessment.The patient reports chest pain aggravated by breathing, coughing, and swallowing, which worsens when lying supine. The pain often improves when sitting up and leaning forward. Additional symptoms may include fever, malaise, and, in severe cases, signs of heart failure.

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Related Experiment Video

Updated: Jun 21, 2026

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
06:04

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex

Published on: July 4, 2018

Evaluating pain in intensive care.

Hanna Suominen1, Heljä Lundgrén-Laine, Sanna Salanterä

  • 1Turku Centre for Computer Science (TUCS) and Department of Information Technology, University of Turku, Turku, Finland.

Studies in Health Technology and Informatics
|July 14, 2009
PubMed
Summary
This summary is machine-generated.

Assessing patient pain in intensive care is challenging due to communication barriers. This study found that while pain is often documented indirectly in nursing notes, computational tools could aid pain assessment.

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Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
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Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Related Experiment Videos

Last Updated: Jun 21, 2026

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
06:04

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex

Published on: July 4, 2018

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Area of Science:

  • Medical Informatics
  • Nursing Informatics
  • Clinical Documentation

Background:

  • Effective pain management is crucial for patient outcomes.
  • Pain assessment in intensive care units (ICUs) is complex, especially for non-communicative patients.
  • Human language technology (HLT) may offer solutions for pain documentation challenges.

Purpose of the Study:

  • To evaluate the feasibility of using HLT to support pain assessment in ICUs.
  • To analyze how pain is documented in Finnish free-text ICU nursing notes.
  • To compare nursing professionals' annotations on pain-related documentation.

Main Methods:

  • Statistical comparison of annotations from ten nursing professionals.
  • Analysis of 1548 electronic Finnish free-text ICU nursing notes.
  • Examination of pain documentation aspects: amount, writing style, intensity, and care provided.

Main Results:

  • Over half of the documents contained indirect information about patient pain status.
  • Pain medication details were frequently noted as free-text.
  • Significant variation existed in annotators' pain intensity evaluations.

Conclusions:

  • Despite indirect documentation and annotator variability, substantial pain-related notes exist.
  • The findings support the development of computational tools for ICU pain assessment.
  • HLT holds potential for improving pain documentation and management in critical care settings.