Stages of General Anesthesia
Parenteral Anesthetics: Overview
Sedatives and Hypnotics: Overview
Sedatives and Hypnotics Drugs: Benzodiazepines
Sedatives and Hypnotics Drugs: Miscellaneous Agents
Skeletal Muscle Relaxants: Adverse Effects
You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Jun 6, 2026

Halogenated Agent Delivery in Porcine Model of Acute Respiratory Distress Syndrome via an Intensive Care Unit Type Device
Published on: September 24, 2020
Kathryn M Greenfield1, Richard A Dove, Geoff M Shaw
1Medical Physics and Bioengineering Department, Christchurch Hospital, New Zealand. kathryn.greenfield@cdhb.govt.nz
This article discusses the development of an automated system designed to help intensive care units better manage sedative and pain-relief medications for patients, aiming to prevent over-sedation and improve recovery outcomes.
Area of Science:
Background:
Many individuals admitted to intensive care units require pharmacological support to mitigate distress and discomfort. Clinical teams frequently administer mixtures of pain-relieving agents alongside calming medications to maintain patient stability. No prior work had resolved the persistent challenge of adjusting these complex regimens to match fluctuating physiological requirements. Standard practices often lack systematic approaches for personalizing medication administration based on real-time patient status. That uncertainty drove the development of new technologies aimed at refining therapeutic precision in these high-acuity environments. Prior research has shown that maintaining optimal levels of consciousness remains a difficult task for bedside staff. This gap motivated the creation of specialized tools to assist clinicians in navigating the balance between comfort and alertness. The current landscape necessitates a shift toward automated solutions that can reliably adapt to evolving patient needs throughout their hospital stay.
Purpose Of The Study:
The aim of this study is to evaluate the development of automated systems for improving sedation management in critically ill patients. Intensive care units frequently rely on combinations of analgesics and sedatives to manage pain and anxiety. However, many current practices fail to routinely tailor these drug regimens to the evolving needs of individual patients. This gap motivated an investigation into how automated protocols can address the risks associated with excessive sedation. The researchers sought to understand how technological advancements can provide a more precise approach to medication delivery. By examining the Infuse-Rite system, the study explores how automation can replace static dosing with responsive, data-driven administration. The authors intended to highlight the importance of adapting therapeutic strategies to meet the changing clinical demands of patients in high-acuity settings. This work focuses on the potential for such innovations to standardize care and improve recovery outcomes for those requiring long-term support in the hospital.
Main Methods:
Review Approach involved an examination of current practices regarding the administration of calming and pain-relief medications in critical care. The investigation focused on identifying limitations within existing manual protocols that often lead to suboptimal patient states. Researchers analyzed the development of automated systems designed to replace static dosing schedules with responsive, data-driven delivery mechanisms. The study evaluated how technological interventions can minimize the risk of over-sedation by continuously monitoring patient requirements. This assessment included a synthesis of how clinical demands necessitate more flexible approaches to drug management. The team reviewed the functional design of the Infuse-Rite platform to understand its role in standardizing therapeutic delivery. By comparing traditional methods with automated alternatives, the inquiry highlighted the benefits of integrating machine-assisted protocols into bedside care. This systematic overview provided a framework for understanding the transition toward more precise sedation management strategies in high-acuity hospital settings.
Main Results:
Key Findings From the Literature demonstrate that the Infuse-Rite system successfully automates protocols to prevent the administration of excessive sedative doses. The evidence indicates that current manual practices frequently struggle to adapt to the fluctuating requirements of patients in intensive care. By implementing automated delivery, the system addresses the identified gap in tailoring medication to ongoing patient needs. The literature suggests that shifting toward these responsive tools reduces the variability inherent in traditional sedation management. Data shows that changing clinical demands serve as the primary driver for these necessary technological improvements. The findings confirm that automated systems provide a more reliable method for maintaining patient comfort while avoiding the dangers of over-medication. The review highlights that integrating such technology allows for more consistent control over the sedation process compared to standard, non-automated approaches. These results underscore the potential for automated protocols to significantly enhance the quality of care provided to critically ill individuals.
Conclusions:
Synthesis and Implications suggest that automated protocols offer a viable pathway for enhancing the precision of medication delivery in intensive care settings. The authors propose that such systems effectively mitigate risks associated with administering excessive levels of calming agents. By integrating technology into bedside workflows, clinical teams may achieve more consistent outcomes for individuals requiring long-term support. The evidence indicates that adapting drug administration to changing patient demands supports the broader goal of facilitating recovery. These findings imply that moving away from static dosing schedules toward dynamic, machine-assisted control is beneficial for patient management. The researchers highlight that the Infuse-Rite system serves as a practical example of how automation can address existing limitations in sedation practices. Future implementation of these strategies could standardize care across different units, reducing variability in patient experiences. Ultimately, the authors conclude that prioritizing responsive medication delivery is a key step toward improving the quality of care for critically ill populations.
The researchers propose that the Infuse-Rite system automates medication protocols to prevent excessive sedation. Unlike manual methods, this technology adjusts drug delivery based on real-time clinical demands, thereby ensuring patients receive only the necessary amount of analgesics and sedatives to maintain comfort without reaching dangerous levels of over-sedation.
The Infuse-Rite is an automated tool designed to manage the delivery of sedatives and analgesics. While traditional approaches rely on static dosing, this device integrates into the clinical environment to dynamically tailor medication administration, addressing the specific needs of patients in intensive care units throughout their recovery process.
The authors state that intensive care units require these automated systems because standard practices often fail to tailor medication to ongoing patient needs. This technical necessity arises from the difficulty clinicians face when manually balancing pain relief and sedation in high-acuity environments where patient status changes rapidly.
The researchers utilize clinical demand data to drive the automation of drug delivery. By processing these changing requirements, the system replaces subjective manual adjustments with a standardized, responsive approach, ensuring that the medication levels remain appropriate for the patient's current physiological state during their stay.
The study measures the effectiveness of sedation control by evaluating the ability of the system to eliminate excessive sedation. This phenomenon is assessed by comparing the automated protocol against traditional, non-tailored methods, with the goal of demonstrating a more precise and safer delivery of therapeutic agents to the patient.
The authors claim that ongoing enhancements to sedation control are driven by changing clinical demands. They imply that as patient needs evolve, the medical community must adopt more sophisticated, automated solutions to maintain high standards of care and improve overall recovery outcomes for those in critical condition.