Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Current Trends in Nursing II01:30

Current Trends in Nursing II

1.4K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.4K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

2.4K
Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
2.4K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

971
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
971

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Admission clinical and functional assessments for predicting inpatient fall risk using machine learning models.

Digital health·2026
Same author

Nursing Documentation Interface Configuration Based on Demand Assessment for AI System Development.

Studies in health technology and informatics·2025
Same author

Improving machine learning algorithm for risk of early pressure injury prediction in admission patients using probability feature aggregation.

Digital health·2025
Same author

A network-based measure of functional diversity in food webs.

Biology letters·2022
Same author

β-Lapachone, an NQO1 activator, alleviates diabetic cardiomyopathy by regulating antioxidant ability and mitochondrial function.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2022
Same author

Mitochondrial activity is the key to the protective effect of β-Lapachone, a NAD<sup>+</sup> booster, in healthy cells against cisplatin cytotoxicity.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2022

Related Experiment Video

Updated: Sep 12, 2025

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury
06:18

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury

Published on: March 26, 2019

9.1K

The Impact of Implementing Artificial Intelligence Systems on Pressure Injury Indicators.

Mei-Wen Wu1, Shu-Mei Lai1

  • 1Nursing Department, ChangHua Christian Hospital, Taiwan (R.O.C.).

Studies in Health Technology and Informatics
|August 8, 2025
PubMed
Summary

An AI system reduced hospital-acquired pressure injuries by analyzing patient data. This artificial intelligence tool improved patient care and decreased incidence rates effectively.

Keywords:
Artificial intelligence (AI)Hospital-acquired pressure injuries (HAPIs)Pressure injury prediction

More Related Videos

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device
06:51

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device

Published on: July 29, 2016

8.0K
Mouse Model of Pressure Ulcers After Spinal Cord Injury
06:51

Mouse Model of Pressure Ulcers After Spinal Cord Injury

Published on: March 9, 2019

9.6K

Related Experiment Videos

Last Updated: Sep 12, 2025

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury
06:18

A Bedside, Single Burr Hole Approach to Multimodality Monitoring in Severe Brain Injury

Published on: March 26, 2019

9.1K
Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device
06:51

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device

Published on: July 29, 2016

8.0K
Mouse Model of Pressure Ulcers After Spinal Cord Injury
06:51

Mouse Model of Pressure Ulcers After Spinal Cord Injury

Published on: March 9, 2019

9.6K

Area of Science:

  • Healthcare Informatics
  • Artificial Intelligence in Medicine
  • Patient Safety

Background:

  • Hospital-acquired pressure injuries (HAPIs) represent a significant challenge in patient care.
  • Effective prediction and prevention strategies are crucial for improving patient outcomes and reducing healthcare costs.

Purpose of the Study:

  • To analyze the impact of an Artificial Intelligence (AI) system on hospital-acquired pressure injuries indicators.
  • To evaluate the effectiveness of AI in predicting and preventing pressure injuries in adult inpatients.

Main Methods:

  • Implementation of an AI Pressure Injury prediction system in adult inpatients at a medical center in Taiwan.
  • Retrospective review of Electronic Health Records (EHR) for 95,027 adult patients, utilizing 21 selected features for prediction.
  • AI model accuracy maintained between 83-85% over a three-year tracking period.

Main Results:

  • The incidence rate of pressure injuries decreased from 0.33% in 2022 to 0.21% in 2024.
  • The AI system demonstrated consistent predictive power, aiding in the identification of high-risk patients.
  • Business Intelligence (BI) tools were utilized for trend analysis, supporting the observed improvements.

Conclusions:

  • Feature aggregation in the AI model was critical for accurate pressure injury risk prediction, reducing false positives.
  • The AI system provides valuable decision-making support for clinicians, enhancing patient care.
  • The integration of AI for risk identification and BI for automated analysis positively impacted HAPI incidence rates.