Reliability Of Medical Equipment Research Articles

Application of vibration analysis for medical diagnosis

The ability to interpret vibration signals in the biomedical field offers a promising path toward continuous improvement of medical devices. By examining the revolutions per minute profile, analysts can identify any deviations or anomalies in the vibration patterns at different speeds. This information can help identify potential faults or imbalances within the rotating machinery. With a comprehensive understanding of the revolutions per minute profile, analysts can make informed decisions regarding maintenance and repairs. Besides, the analysis of the order of vibration signals represents an essential pillar of biomedical engineering, bringing an innovative and in-depth perspective to the development of medical devices, and contributing to the continued advancement of medical technology and healthcare. Integrating vibration analysis into preventive maintenance practices can help ensure the reliability of medical equipment, reduce potential risks to patients, and contribute to the advancement of healthcare quality.

Application of statistical processes control for the performance improvement of a clinical engineering department

This article addresses the fundamental role of Statistical as a quality tool in the field of clinical engineering, to improve and optimize internal processes. This study describes the methodology used to apply the SPC in a reference hospital's clinical engineering department. Data was collected over an extensive period, involving multiple medical equipment and verification procedures. These data were analyzed using various statistical tools, such as control charts, Pareto charts, and descriptive statistics. The results showed stability in the department's processes, which made it possible to identify areas for potential improvement. Statistical analyses revealed behavior patterns and trends that were not previously apparent. Based on these conclusions, specific modifications were proposed in the department's processes to optimize efficiency, reduce costs, and improve service quality. The implementation of these modifications based on evidence suggests that they would positively impact the general performance of the clinical engineering department if applied Key indicators could improve significantly, reflecting increased medical equipment reliability and availability, decreased unscheduled downtime, and increased satisfaction for department staff and equipment users. In summary, this study highlights the importance of using SPC as a powerful improvement tool in clinical engineering. By adopting an approach based on data and scientific evidence, clinical engineering departments can achieve more efficient and effective management of their processes, contributing to higher-quality medical care and patient safety.

HEALTH CARE IN COVID-19 ENVIRONMENT: QUALITY ASSESSMENT OF MEDICAL VENTILATORS BY HEALTH CARE SYSTEM ENTITIES

The purpose of this article is to comprehend the functioning of the institute of public health in a pandemic and to conduct a research analysis of the opinions and judgments of medical workers and patients using medical ventilation devices. The national health care system faces a global challenge associated with the spread of COVID-19, which has exposed problem areas in its functioning, one of which is the quality and reliability of medical equipment. Medical ventilators are of vital importance, because their availability and quality determine the recovery of patients and their return to a familiar way of life. Ventilators are used in intensive care units and wards for treatment of severe complications of coronavirus infection. The main subjects of the health care system were interviewed using the semi-formalized interview method: doctors (n = 32) and patients (n = 16). The survey results showed that the quality of Russian devices requires significant improvement (oxygen tubes and flow sensors), and the main measures to improve the quality of medical care using ventilators are not only buying of imported medical equipment, but also strengthening quality control of domestic devices and creating real competitive environment of Russian manufacturers. In the context of the "new normalcy" on the Russian market of ventilators, it’s possible to transit from an import-oriented model to a national-state model with a significant proportion of medical products manufactured by Russian companies.

Reliability of Medical Equipment Through Intelligent Prioritisation Assessment and Predictive Systems with Significant Features

Reliability of Medical Equipment Through Intelligent Prioritisation Assessment and Predictive Systems with Significant Features

Evaluation of the Operation Process of Medical Equipment to Enhance Ergonomic Reliability Based on FRAM–Moran’s I and CREAM

To improve the ergonomic reliability of medical equipment design during the operation process, a method for evaluating the operating procedure of a medical equipment interface according to functional resonance analysis method (FRAM)-Moran’s I and cognitive reliability and error analysis method (CREAM) is proposed in this study. The novelty of this research is to analyze the ergonomic reliability of medical equipment in a more systematic manner and to minimize the impact of human subjectivity and individual differences on the evaluation results of the operation process. To solve the calculation problem of functional resonance in FRAM and to make the evaluation results more objective, Moran’s I was introduced to quantify the deviation degree caused by the individual differences of the subjects. By giving weights based on Moran’s I, the influence of individual differences and subjectivity on the evaluation results can be minimized, to a certain extent. Considering the importance of a special environment, which is not fully considered by the conventional CREAM, the weighting values based on Moran’s I, Delphi survey, and technique for order preference by similarity to an ideal solution (TOPSIS) were adopted to assign weights to common performance conditions (CPCs) in CREAM. The optimal design scheme was selected more objectively than in the conventional method. The validity and practicability of this operation process evaluation method was verified by a statistical method based on ergonomic reliability experiments.

Assessment of medical equipment maintenance management: proposed checklist using Iranian experience

BackgroundEffective maintenance management of medical equipment is one of the major issues for quality of care, for providing cost-effective health services and for saving scarce resources. This study aimed to develop a comprehensive checklist for assessing the medical equipment maintenance management (MEMM) in the Iranian hospitals.MethodsThis is a multi-methods study. First, data related to factors which affect the assessment of MEMM were collected through a systematic review in PubMed, ProQuest, Scopus, Embase, and web of science without any time limitation until October 2015, updated in June 2017. Then, we investigated these factors affecting using document review and interviews with experts in the Iranian hospitals. In the end, the results of the first and second stages were combined using content analysis and the final checklist was developed in a two-round Delphi.ResultsUsing a combination of factors extracted from the systematic and qualitative studies, the primary checklist was developed in the form of assessment checklists in seven dimensions. The final checklist includes 7 dimensions and 19 sub-categories: “resources = 3,” “quality control = 3,” “information bank = 4,” “education = 1,” “service = 3,” “inspection and preventive maintenance = 2” and “design and implementation = 3.”ConclusionsDeveloping an assessment checklist for MEMM provide a comprehensive framework for the proper implementation of accurate assessment of medical equipment maintenance. This checklist can be used to improve the profitability of health facilities and the reliability of medical equipment. In addition, it is implicated in the decision-making in support of selection, purchase, repair and maintenance of medical equipment, especially for capital equipment managers and medical engineers in hospitals and also for the assessment of this process.

Impact of management models on revenue sharing for signaling medical equipment reliability

This paper examines the contracting problem between a medical equipment vendor and a hospital in the healthcare industry. Many medical treatments depend heavily on the reliability of newly developed equipment, which typically encompasses private information on the part of the vendor. We built a game-theoretic model to examine the optimal contract a vendor can offer to prevent hospitals from underpaying for a reliable machine. First, the contract format including revenue sharing may serve as a signaling device of reliability. Second, the management model of a hospital has a strong impact on contract design. In particular, the vendor is better able to signal its reliability through revenue sharing to a non-profit hospital than to a for-profit hospital. Lastly, revenue sharing becomes more attractive to vendors as hospitals are more concerned about social welfare.

Sistematização do projeto informacional de um eletrodo de radiofrequência

O equipamento médico de rádio frequência (RFA) é utilizado como forma de tratamento do Carcinoma Hepatocelular (CHC). Segundo a Organização Mundial da Saúde (OMS), o CHC é a segunda causa de óbito por câncer no mundo. Dentre as formas de tratamento, existem procedimentos utilizando equipamentos de RFA minimamente invasivos capazes de extinguir tumores em órgãos vitais. Dentro desse contexto, o presente artigo tem como objetivo apresentar a fase de projeto informacional de um eletrodo de radiofrequência. A confiabilidade de um equipamento médico (EM) é um dos principais atributos exigidos por órgãos reguladores de um sistema de saúde, uma vez que o ambiente hospitalar apresenta características singulares. Assim, é feita uma revisão bibliográfica sobre confiabilidade e Processo de Projeto de Equipamentos Médicos (PPEM). Após, com base em uma metodologia de projeto foi possível identificar as necessidades e os requisitos dos clientes, os requisitos do projeto para então definir as especificações – meta do EM. O desenvolvimento do eletrodo de radiofrequência faz parte do projeto Software of Intensive Ablation (SOFIA), da Universidade de Brasília (UnB), financiado pelo Ministério da Saúde. O resultado da fase de projeto informacional, ou seja, as especificações meta servirão de base para o desenvolvimento das fases seguintes do projeto, logo após o resumo, três palavras-chave, as quais devem destacar de modo claro a temática do artigo.

A NOVEL TECHNIQUE TO MONITOR MEDICAL EQUIPMENT MODES OF OPERATION

Quantitative measurement of the effective usability of the medical equipment is an important parameter in the quality and performance assessment. This paper introduces a simple non-invasive technique for real time monitoring of medical equipment modes of operation based on its power consumption pattern. Mode of operation detection is needed to specify the medical equipment reliability, availability, maintainability and usability. The Electrical Signature Analysis technique (ESA), is applied to monitor the overall power consumption of the electromechanical and power components inside the medical equipment. ESA is extracted using the Root Mean Square (RMS) of the electric current measured by a meter interfaced to a PC via its USB port. The ESA of the medial equipment is recorded, analyzed and correlated with the stored electric current consumption patterns of each specific mode of operation. The results were promising to accomplish the medical equipment monitoring application.

Influential factors on medical equipment maintenance management

PurposeEffective maintenance management of medical equipment is one of the major issues for quality of care and cost-effectiveness especially in modern hospitals. An effective medical equipment maintenance management (MEMM) consists of adequate planning, management and implementation. This is essential for providing good health services and saving scarce resources. Considering the importance of the subject, the purpose of this paper is to extract the influential factors on MEMM using a qualitative approach.Design/methodology/approachDocuments review and interviews were main methods for data collection. Semi structured interviews were conducted with a purposive sample of 14 clinical engineers with different degree of education and job levels. Interviews were voice recorded and transcribed verbatim. Qualitative data were analyzed using a content analysis approach (inductive and deductive) to identify the underlying themes and sub-themes.FindingsFactors influencing an effective and efficient MEMM system categorized in seven themes and 19 sub-themes emerged. The themes included: “resources,” “quality control,” “information bank,” “education,” “service,” “inspection and preventive maintenance” and “design and implementation.”Originality/valueThe proposed framework provides a basis for a comprehensive and accurate assessment of medical equipment maintenance. The findings of this study could be used to improve the profitability of healthcare facilities and the reliability of medical equipment.

ВЛИЯНИЕ КАЧЕСТВА ЭЛЕКТРОЭНЕРГИИ НА РАБОТУ ДИАГНОСТИЧЕСКОГО МЕДИЦИНСКОГО ОБОРУДОВАНИЯ

The reliability of the diagnosis of the disease depends not only on the quality of diagnostic equipment but also on the parameters of the supply network. Modern diagnostic devices are complex electromechanical devices containing electrical elements, mechanical units, electronic and microprocessor blocks, operating on low volt and high voltage voltages. The tables show the norms and limit values of the quality indicators of electric energy in general power supply systems. An analysis of the reasons for the deviations of the parameters of the SCE and their impact on the quality of work and the failure of electric consumers. The development of methods for reducing the additional costs and improving the reliability of the work of the Ministry of Defense is an urgent task, the solution of which will allow medical personnel to carry out a patient examination with minimal costs in the regular timeframe, with given reliability of medical equipment. Up to 14% of the causes of accidents and inaccessibility of medical equipment are associated with the emergency, technological, pro-fatal and other trips in the supply network. Especially sensitive devices for voltage failures are RCTs. The installation of uninterruptible power supply units does not solve the protection of the RCT from failures and unauthorized interruptions requiring the development of special protective equipment.

Zdarzenia niepożądane i bezpieczeństwo pacjenta — próba ujęcia holistycznego

The aim of a paper is a holistic approach to the patient safety. Medical adverse events result from medical and non-medical factors. Blaming medical professionals exclusively is anachronism. Latent errors in the health care system are of decisive importance for patient safety. They originate usually from outside of the system. Ergonomic principles of systemic design have to be applied in order to improve patient safety as well as normalization, improvement of team work, and hospital staffing. Careful analysis of near-misses should be helpful in the proper directing of intervention. Improvement in the usability and reliability of medical equipment requires feed-back information to manufacturers. Nursing Topics 2015; 23 (4): 544–550

MEDICAL EQUIPMENT RELIABILITY: A REVIEW, ANALYSIS METHODS AND IMPROVEMENT STRATEGIES

This paper presents facts and figures, directly or indirectly, related to medical equipment reliability and reviews various important aspects, directly or indirectly, concerned with medical equipment reliability including classifications of medical devices/equipment, human error in medical equipment, useful guidelines for reliability and other professionals to improve medical equipment reliability, and medical equipment maintenance. A number of methods considered useful for performing medical equipment reliability analysis are also presented. Useful sources and organizations for obtaining medical equipment failure-related data are listed.

Evidence-Based Maintenance

In Brief During the early years of clinical engineering (CE), CE professionals in the United States devoted a significant portion of their resources to detect failures through inspections (incoming and scheduled) and prevent failures through periodic parts replacement, lubrication, and other tasks (preventive maintenance), with the goal of reducing patient risks. With the rapid evolution of technology in the last 3 decades that increased medical equipment reliability, it is unclear whether CE professionals should continue to focus their attention on equipment failure detection and prevention or broaden their scope to enhance further patient safety. Using scheduled and unscheduled maintenance data collected for almost 2 years from 8 hospitals and a standardized failure classification method, 22 equipment types were analyzed in terms of actions that CE can undertake to improve safety: directly, indirectly, or in the future. For each of these 3 CE action groups, the risk associated with the use of equipment was estimated from the respective failure probability and severity of harm. The results show that, for most equipment types, CE professionals have reached the saturation point of what they can do to reduce risks, although some redirection of their attention from certain equipment types to others would optimize the use of limited resources. On the other hand, plenty of opportunities exist in helping the users and other allied health professionals to reduce risks significantly through further training, better communication, and better selection in future acquisitions. During the early years of clinical engineering (CE), CE professionals in the United States devoted a significant portion of their resources to detect failures through inspections (incoming and scheduled) and prevent failures through periodic parts replacement, lubrication, and other tasks (preventive maintenance), with the goal of reducing patient risks. With the rapid evolution of technology in the last 3 decades that increased medical equipment reliability, it is unclear whether CE professionals should continue to focus their attention on equipment failure detection and prevention or broaden their scope to enhance further patient safety. Using scheduled and unscheduled maintenance data collected for almost 2 years from 8 hospitals and a standardized failure classification method, 22 equipment types were analyzed in terms of actions that CE can undertake to improve safety: directly, indirectly, or in the future. For each of these 3 CE action groups, the risk associated with the use of equipment was estimated from the respective failure probability and severity of harm. The results show that, for most equipment types, CE professionals have reached the saturation point of what they can do to reduce risks, although some redirection of their attention from certain equipment types to others would optimize the use of limited resources. On the other hand, plenty of opportunities exist in helping the users and other allied health professionals to reduce risks significantly through further training, better communication, and better selection in future acquisitions.

An Intelligent Healthcare Management System: A New Approach in Work-order Prioritization for Medical Equipment Maintenance Requests

The effective maintenance management of medical technology influences the quality of care delivered and the profitability of healthcare facilities. Medical equipment maintenance in Jordan lacks an objective prioritization system; consequently, the system is not sensitive to the impact of equipment downtime on patient morbidity and mortality. The current work presents a novel software system (EQUIMEDCOMP) that is designed to achieve valuable improvements in the maintenance management of medical technology. This work-order prioritization model sorts medical maintenance requests by calculating a priority index for each request. Model performance was assessed by utilizing maintenance requests from several Jordanian hospitals. The system proved highly efficient in minimizing equipment downtime based on healthcare delivery capacity, and, consequently, patient outcome. Additionally, a preventive maintenance optimization module and an equipment quality control system are incorporated. The system is, therefore, expected to improve the reliability of medical equipment and significantly improve safety and cost-efficiency.

Criteria and methods for assessing reliability of medical equipment. Part II: Special requirements for reliability of medical equipment and methods for improving reliability

Criteria and methods for assessing reliability of medical equipment. Part II: Special requirements for reliability of medical equipment and methods for improving reliability

Criteria and methods for assessing reliability of medical equipment

Specific features of the methods for assessing the reliability of medical equipment are considered together with the reliability criteria and factors.

Sefety and High Reliability of Medical Equipment

Sefety and High Reliability of Medical Equipment

Bibliography of literature on medical equipment reliability: Balbir S. Dhillon and J. L. McCrea. Microelectron. Reliab.20, 737 (1980)

Bibliography of literature on medical equipment reliability: Balbir S. Dhillon and J. L. McCrea. Microelectron. Reliab.20, 737 (1980)

Bibliography of literature on medical equipment reliability

This paper presents a brief introduction and an extensive list of selective references on medical equipment reliability.