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Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care01:29

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Diagnosing Pulmonary EmbolismDiagnosing pulmonary embolism (PE) involves clinical assessment and advanced imaging tests. The preferred diagnostic tool is the spiral (helical) CT scan or CT angiography (CTA), which uses intravenous contrast media to visualize the pulmonary vasculature and identify emboli.A ventilation-perfusion (V/Q) scan is an alternative for patients unable to receive contrast media. This scan includes both perfusion and ventilation scanning. Perfusion scanning involves...
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Related Experiment Video

Updated: Jun 12, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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Managing Postembolization Syndrome Through a Machine Learning-Based Clinical Decision Support System: A Randomized

Minkyeong Kang1, Myoung Soo Kim

  • 1Author Affiliations: Department of Nursing, Daedong University; and Department of Nursing, Pukyong National University, Busan, South Korea.

Computers, Informatics, Nursing : CIN
|September 26, 2024
PubMed
Summary
This summary is machine-generated.

A clinical decision support system improved nurses' patient-centered care and competence in managing postembolization syndrome. Patients experienced reduced symptom interference, enhancing quality of life after hepatocellular carcinoma treatment.

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Area of Science:

  • Interventional Radiology
  • Oncology Nursing
  • Health Informatics

Background:

  • Transarterial chemoembolization (TCE) is a key treatment for hepatocellular carcinoma (HCC).
  • Postembolization syndrome (PES) negatively impacts patient quality of life following TCE.
  • Effective management of PES is crucial for improving patient outcomes.

Purpose of the Study:

  • To evaluate the effectiveness of a clinical decision support system (CDSS) for managing PES.
  • To assess the impact of a CDSS on nurses' practices and patient outcomes.
  • To determine if a CDSS enhances patient-centered care and nursing competence.

Main Methods:

  • A randomized controlled trial involving 40 registered nurses (RNs) and 51 hospitalized patients.
  • The experimental group received a CDSS and handbook; the control group received only a handbook for 6 weeks.
  • Outcomes measured included nurses' caring attitude, pain management, competence, and patients' symptom interference.

Main Results:

  • Nurses using the CDSS showed significant improvements in patient-centered caring attitude, pain management barrier identification, and comfort care competence.
  • Patients in the experimental group experienced a significant decrease in symptom interference.
  • The CDSS demonstrated a positive impact on both nursing practice and patient well-being.

Conclusions:

  • A CDSS can effectively refine nursing practices in managing postembolization syndrome.
  • Implementing a CDSS fosters a patient-centered care attitude and enhances nurses' comfort care competence.
  • CDSS integration holds promise for advancing patient well-being and nursing quality in HCC treatment.