Majority of IV Infusion Errors Linked to Clinical Practice
|
By HospiMedica International staff writers Posted on 20 Mar 2016 |
More than half of intravenous (IV) infusion medications contained errors, with majority linked to deviations in hospital policy, according to a new study.
Researchers at Brigham and Women's Hospital (Boston, MA, USA), Concord Hospital (NH, USA), and other institutions conducted a study in ten hospitals in the United States to investigate the types and frequency of IV medication errors associated with smart pumps. Data were collected using a prospective point prevalence approach to capture errors associated with 1,164 smart pump IV administrations to 478 patients, with concurrent evaluation of their potential for harm.
The results showed that of the observed infusions, 699 (60%) had one or more errors associated with their administration, but relatively few of these errors were potentially harmful. The most predominant errors were associated with violations of hospital infusion policy, and included the administration of unauthorized medications, bypassing the smart pump, wrong rate of infusion, labelling errors, and bypassing the integrated drug library.
The researchers suggested that most of these mistakes could be prevented if closed-loop systems, in which the smart pumps are automatically programed with a medication order using the patient’s electronic health record (EHR), were implemented as policy. This would necessitate that a nurse verify the information on the smart pump and accept the data, including drug name, infusion rate, volume, and concentration, before the infusion could begin. The study was published on February 23, 2016, in BMJ Quality & Safety.
“Since these errors are not directly related to the use of smart pumps, these finding suggest that smart pump technology alone cannot fully prevent errors associated with intravenous infusions,” concluded lead author Kumiko Schnock, MD, of Brigham and Women's Hospital, and colleagues. “The results of this study will be useful in developing interventions to eliminate errors in the intravenous medication administration process.”
Smart infusion pumps were developed to reduce adverse drug events and medication administration errors through built-in safety features, such as built-in drug libraries and dose error reduction systems. According to a national survey conducted by the American Society of Health-System Pharmacists (Bethesda, MD, USA), in 2012 77% of hospitals in the United States use smart pump technology.
Related Links:
Brigham and Women's Hospital
Concord Hospital
American Society of Health-System Pharmacists
Researchers at Brigham and Women's Hospital (Boston, MA, USA), Concord Hospital (NH, USA), and other institutions conducted a study in ten hospitals in the United States to investigate the types and frequency of IV medication errors associated with smart pumps. Data were collected using a prospective point prevalence approach to capture errors associated with 1,164 smart pump IV administrations to 478 patients, with concurrent evaluation of their potential for harm.
The results showed that of the observed infusions, 699 (60%) had one or more errors associated with their administration, but relatively few of these errors were potentially harmful. The most predominant errors were associated with violations of hospital infusion policy, and included the administration of unauthorized medications, bypassing the smart pump, wrong rate of infusion, labelling errors, and bypassing the integrated drug library.
The researchers suggested that most of these mistakes could be prevented if closed-loop systems, in which the smart pumps are automatically programed with a medication order using the patient’s electronic health record (EHR), were implemented as policy. This would necessitate that a nurse verify the information on the smart pump and accept the data, including drug name, infusion rate, volume, and concentration, before the infusion could begin. The study was published on February 23, 2016, in BMJ Quality & Safety.
“Since these errors are not directly related to the use of smart pumps, these finding suggest that smart pump technology alone cannot fully prevent errors associated with intravenous infusions,” concluded lead author Kumiko Schnock, MD, of Brigham and Women's Hospital, and colleagues. “The results of this study will be useful in developing interventions to eliminate errors in the intravenous medication administration process.”
Smart infusion pumps were developed to reduce adverse drug events and medication administration errors through built-in safety features, such as built-in drug libraries and dose error reduction systems. According to a national survey conducted by the American Society of Health-System Pharmacists (Bethesda, MD, USA), in 2012 77% of hospitals in the United States use smart pump technology.
Related Links:
Brigham and Women's Hospital
Concord Hospital
American Society of Health-System Pharmacists
Latest Critical Care News
- Flexible Plastic Film Uses Nanostructures to Destroy Viruses
- AI Expands Across Heart Failure Care Continuum to Improve Management
- Microneedle Sensor Enables Continuous Monitoring of Drug Clearance
- 3D Brain Imaging Marker Predicts Surgical Outcomes in Dementia-Causing Hydrocephalus
- Printed Artificial Neurons Stimulate Natural Brain Circuits
- Review Advances Precision Care Pathway for Meningioma Management
- Synthetic Biology Approach Enables On-Demand Liver Tissue Growth
- Bioinspired Imaging System Identifies Cancerous Lymph Nodes Intraoperatively
- Portable AI Device Enables Low-Cost Screening for Anterior Eye Diseases
- FDA-Cleared ECG Software Powers Real-Time Cardiac Monitoring at Scale
- Collaboration Brings Continuous Monitoring to Metabolic Care Management
- Low-Frequency Wireless Sensor Monitors Arterial Stiffening and Blood Pressure
- FDA-Cleared Transseptal Access Device Enables Site-Specific Left Atrial Puncture
- AI Tool Estimates CPAP Effect on Cardiovascular Risk in Sleep Apnea
- Wearable AI Tool Predicts Hospitalization Risk in Heart Failure
- Real-Time Imaging Guides CPR to Improve Perfusion
Channels
Artificial Intelligence
view channel
AI Model Uses Eye Imaging to Identify Risk of Major Systemic Diseases
Early detection of systemic disease risk remains a persistent challenge in population health screening. Cardiometabolic conditions such as diabetes, heart disease, and stroke often progress without symptoms... Read more
AI Platform Interprets Real-Time Wearable Data for Parkinson’s Management
Parkinson’s disease presents fluctuating motor and non-motor symptoms that complicate day-to-day self-management and clinical decision-making. Care teams require timely, longitudinal insight into medication... Read moreSurgical Techniques
view channel
Smart Fracture Implant Monitors Healing and Delivers Adaptive Support
Fracture care is hindered by a monitoring gap between fixation and the first follow-up radiograph, leaving clinicians without early, objective feedback on healing. Delayed detection of impaired union can... Read more
Novel GERD Device Demonstrates Long-Term Safety in Real-World Study
Gastroesophageal reflux disease affects over 1 billion people worldwide, and many patients ultimately require procedural management. Surgical options exist but may introduce adverse effects such as dysphagia,... Read more
Pulsed Field Ablation Technology Showcases One-Year AF Outcomes
Catheter ablation for atrial fibrillation is drawing interest in nonthermal energy modalities that aim to spare non‑cellular tissue while creating durable lesions. Pulsed field ablation techniques that... Read more
Flexible Graphene Cortical Interface Enables Real-Time Mapping During Tumor Surgery
Safe, precise functional mapping during brain tumor surgery is critical to preserving speech and movement. Conventional metal electrodes can be rigid and less sensitive, limiting their ability to conform... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
Automated System Classifies and Tracks Cardiogenic Shock Across Hospital Settings
Cardiogenic shock remains a difficult, time-sensitive emergency, with delayed identification driving poor outcomes and persistently high mortality. Many cases go undocumented even at advanced stages, hindering... Read more
Voice-Driven AI System Enables Structured GI Procedure Documentation
Documentation during gastrointestinal (GI) procedures often competes with real-time clinical decision-making and imposes a significant cognitive burden on physicians. Manual data entry and post-procedure... Read more
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read morePoint of Care
view channelBusiness
view channel
Johnson & Johnson Launches AI-Driven Cardiac Mapping System
Johnson & Johnson has introduced the CARTOSOUND SONATA Module for the CARTO System at the Heart Rhythm Society (HRS) 2026 meeting in Chicago. The module uses artificial intelligence with the CARTO... Read more







