Background: Errors in prescriptions are associated with adverse drug events. The aim of the study was to characterise prescribing errors in patients transferred from the emergency department (ED) to the inpatient ward. Methods: A prospective observat...
Medication errors are commonly reported in the pediatric population. While evidence supports the use of e-prescribing to prevent certain errors, prescribing with an electronic health record (EHR) system is not devoid of errors. Furthermore, the major...
Background: Digital weight loss services (DWLSs) that use Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have demonstrated potential in contributing to a shift in global obesity rates. However, reasonable concerns have been raised about the pr...
Background: Medication use in paediatric populations is inherently complex and carries a heightened risk of prescribing errors, particularly within primary health-care settings. Despite this concern, evidence describing paediatric prescribing errors...
Background and objective: The noncompliance of treatment guidelines by healthcare professionals, along with physiological variations, makes the pediatric population more prone to antibiotic prescribing errors. The present study aims to evaluate the p...
In this paper, a variable gain prescribed performance control law is proposed for dynamic positioning (DP) of ships with positioning error constraints, input saturation and unknown external disturbances. The error performance index functions are desi...
For a class of second-order nonlinear systems subject to matched disturbances, this paper investigates preset-time establishment and subsequent high-precision maintenance, and proposes a time-varying sliding mode control method based on prescribed er...
This paper formulates a control framework grounded in prescribed performance control (PPC) and combined with a dynamic error modulation function. The proposed framework addresses the control challenges of DC–DC boost converters under sudden pow...
16 August 2022
The use of international nonproprietary names (INNs) has been mandatory for prescriptions of state-reimbursed drugs in Latvia since 1 April 2020. In a retrospective analysis, we aimed to examine the impact of the new regulation on changes in the pres...
Background: Pharmacotherapy is an essential part of patient care. In order to achieve optimal health outcomes, safe and effective prescribing and administering of medications is crucial, especially since the process of pharmacotherapy can cause serio...
Background: Nurse practitioners have been prescribing medication within a narrow scope of practice throughout the world for several decades as a means of meeting rising demand for community health services. Prominent medical bodies have alleged that...
Background: The emergence of new technologies in the area of health information and communication helps pharmacists to check the safety of medications used via electronic prescribing. Objectives: The study aimed to identify the rate and types of prob...
Pharmacist intervention has valuable input to the healthcare system by reducing medication errors, costs of treatment and improving therapeutic outcomes. This study aimed to analyze pharmacists’ interventions during the verification of computerized p...
Objective: This scoping review aims to map the available literature and provide an overview of the published articles discussing the impact of electronic prescribing on medication errors and pharmacy workflow. Methods: The literature search was condu...
Pharmacists have often been viewed as the last line of defence against prescription errors in traditional care models. Although a large number of chronic care patients are using telehealth services to increase their access to continuous care, researc...
Medication errors and omissions can potentially cause harm, prolong a hospital stay, lead to co-morbidities and even death. Pharmacy interventions (PI) ensure that these errors are identified and addressed, leading to improved patient safety and pres...
In addressing the challenges of low path tracking accuracy and poor robustness during tractor autonomous operation, this paper proposes a path tracking control method for tractors that integrates prescribed performance with sliding mode control (SMC)...
Closed-loop electronic medication management systems (EMMS) have been seen as a potential technology to prevent medication errors (MEs), although the research on them is still limited. The aim of this paper was to describe the changes in reported MEs...
Considering that the electrohydraulic servo system has extremely strong nonlinear characteristics, problems such as low initial tracking accuracy and large unmodeled dynamic errors are prominent, leading to easy degradation of control performance. To...
The perspectives of the Compounded Drug Preparation Information Exchange Expert Panel of the United States Pharmacopeia (CDPIE-EP) on the urgent need to create and maintain data standards to support the electronic transmission of an interoperable dat...
Lack of standardization related to compounded drug preparations, especially in the transition of care situations, threatens patient safety by facilitating medication error. This paper outlines progress to-date from the United States Pharmacopeia (USP...
This paper investigates the performance-constrained formation control issues for multiple underactuated unmanned surface vehicles (USVs) under uncertain dynamics and the limited communication bandwidth. Firstly, an auxiliary input–output transf...
Background: Antibiotic misuse and prescribing errors are significant concerns in clinical practice, contributing to unnecessary antibiotic exposure, increased adverse effects, rising healthcare costs, and the escalation of antibiotic resistance. Unde...
This paper proposes an improved active disturbance rejection control (IADRC) scheme for a magnetic levitation ball system to enhance performance under scenarios of internal parameter perturbations and external disturbances. Firstly, a mathematical mo...
The continuous reduction in critical dimensions and the escalating demands for higher throughput are driving motion platforms to operate under increasingly complex conditions, including multi-axis coupling, structural nonlinearities, and time-varying...
Neuromorphic hardware designs realize neural principles in electronics to provide high-performing, energy-efficient frameworks for machine learning. Here, we propose a neuromorphic analog design for continuous real-time learning. Our hardware design...
Multidose drug dispensing (MDD) is an adherence aid used by one-third of patients receiving home care services in Norway. The system can increase patient safety by reducing dispensing errors and increase adherence, however it has also been criticised...
Previous studies typically assume that output constraints are symmetric or time-invariant. However, effectively addressing asymmetric and time-varying output constraints remains an unsolved issue, especially in the case of switched non-square multi-i...
Despite numerous strategies introduced to promote the safe use of insulin, insulin-related medication errors persist. Our aim was to examine the knowledge and self-reported confidence of a range of healthcare professionals regarding insulin use in a...
As the majority of prescribing in hospital is undertaken by intern doctors, the aims of this systematic review were to compile the evidence of the qualitative literature on the views and experiences of intern doctors and to examine the role of the ph...
In this work, an improved symmetric integral barrier function-based tracking control is addressed for a robotic manipulator in the presence of position error performance requirements and unknown uncertain terms. First of all, we construct an improved...
Hypotonic intravenous (IV) fluids are associated with an increased risk of hospital-acquired hyponatraemia, eventually leading to brain injury and death. We evaluated the effectiveness of a treatment guide to improve prescribing practices of IV fluid...
The aging of the population and the increasing prevalence of multimorbidity contribute to the widespread use of polypharmacotherapy, which in turn elevates the risk of adverse drug reactions and clinically significant drug–drug interactions. On...
This work studies the dynamic positioning (DP) control issue of unmanned surface vessels subjected to thruster saturation, error constraints, and lumped disturbances composed of time-varying marine environmental disturbances and model parameter uncer...
A critic-only learning-based tracking control with prescribed performance was proposed for a class of uncertain nonlinear systems. Based on an estimator and an optimal controller, a novel controller was designed to make tracking errors uniformly ulti...
Quadrotor unmanned aerial vehicles demonstrate broad application prospects, yet existing research still lacks a comprehensive solution that simultaneously addresses efficiency, disturbance rejection, environmental adaptability, and precision in their...
An adaptive tracking control strategy with a prescribe tracking error and the convergence time is proposed for hypersonic vehicles with state constraints and actuator failures. The peculiarity is that constructing a new time scale coordinate translat...
To address time-varying communication topology, actuator response delay, and limited inter-UAV communication resources in the multi-UAV approach of a maneuvering target, this paper proposes a cooperative rendezvous/tracking control law combining a pr...
This paper proposes an adaptive fuzzy prescribed-time output feedback control approach for strict-feedback nonlinear cyber–physical systems (CPSs) subjected to malicious attacks, output constraints, and backlash-like hysteresis. To approximate...
This paper investigates one kind of high performance control methods for Micro-Electro-Mechanical-System (MEMS) gyroscopes using adaptive sliding mode control (ASMC) scheme with prescribed performance. Prescribed performance control (PPC) method is c...
This paper addresses the attitude control problem for a rigid satellite and proposes an anti-disturbance prescribed performance control (PPC) scheme, aiming to achieve accurate attitude tracking while guaranteeing tracking performance under external...
Unknown time-varying parameters, along with mismatched and matched disturbances, exist in hydraulic systems, worsening position tracking performance and even destabilizing systems. To address this issue, this article proposes an adaptive full-state p...
This paper proposes a novel finite-time adaptive neural control method for a class of high-order nonlinear systems with high powers in the presence of dead zone input nonlinearities and unmodeled dynamics. By utilizing prescribed performance function...
In order to address the fragility issues associated with the current prescribed performance control (PPC) strategy and ensure both transient and steady-state performance of the tracking error, a non-fragility prescribed performance control scheme is...
This study proposes a new disturbance-observer-based adaptive distributed formation control scheme for multiple underactuated surface vehicles (USVs) subject to unknown synthesized disturbances under prescribed performance constraints. A modified sli...
31 May 2019
Opioid errors are a leading cause of patient harm. Active failures in opioid dose conversion can contribute to error. Conversion is complex and is currently performed manually using tables of approximate equivalence. Apps that offer opioid dose doubl...
This paper develops a zero-sum game-based reinforcement learning tracking controller with predefined-time prescribed performance (ZG-RL-PP) for highly flexible aircraft. The disturbed tracking-error dynamics are first transformed into a min–max...
Objectives: To assess the impact of an electronic prescribing template with decision support upon the frequency of prescription errors, guideline adherence (relating to dose ranges), and prescription legality when prescribing continuous subcutaneous...
Maglev trains are susceptible to various types of operational challenges, including track irregularities, load variations, and actuator faults. It is evident that these factors can compromise suspension performance and even pose a serious risk to ope...
In this paper, a composite finite-time prescribed performance tracking control scheme is presented for an unmanned helicopter (UH) system subject to performance constraints, model uncertainties and external perturbations. A new finite-time neural net...
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