{"title":"New Guidance Impact's Artificial Intelligence and Interoperability for Medical Devices","authors":"","doi":"10.1097/jce.0000000000000572","DOIUrl":"https://doi.org/10.1097/jce.0000000000000572","url":null,"abstract":"","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49613615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spartech Receives Critical Guidance Recognition by Association of Plastic Recyclers","authors":"M. Levin-Epstein","doi":"10.1097/jce.0000000000000561","DOIUrl":"https://doi.org/10.1097/jce.0000000000000561","url":null,"abstract":"","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45592430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Results From a Phase 3 Trial Evaluating TARPEYO Published","authors":"","doi":"10.1097/jce.0000000000000566","DOIUrl":"https://doi.org/10.1097/jce.0000000000000566","url":null,"abstract":"","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45568750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asset Performance Management Command Center for Saudi Ministry of Health","authors":"Fahad Algablan, Ibrahim AlTurairi, I. Mobarek","doi":"10.1097/JCE.0000000000000558","DOIUrl":"https://doi.org/10.1097/JCE.0000000000000558","url":null,"abstract":"This article describes the journey of developing, implementing, and evaluating a unique state-of-the-art Asset Performance Management Command Center for the Ministry of Health in Saudi. Several successful pilots have been established to test the usability and performance of the Asset Performance Management tools that are developed and planned to be scaled for all (~300) ministry of health hospitals. To accommodate the complexity of the mission, several proof of concepts have been established including inventory management for 7 types of medical equipment on kingdom-level covering ventilators: anesthesia, blood gas analyzers, magnetic resonance imaging, computed tomography, renal and dental units in addition to inventory management platform for all ministry of health hospitals hospitals. A basic computerized maintenance management system is then implemented at 1 Ministry of health hospital, and another equipment direct connectivity use case was implemented at another hospital. Continuously refreshed data for medical equipment at the targeted hospitals are reported at the national command center of the Ministry of Health situated in Riyadh digital City, including inventory information related to 200+ hospitals in addition to key performance indicator dashboards illustrating downtime, work order status, basic utilization, and many other key performance indicators related to assets specifically developed and verified for Ministry of health needs.","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":"48 1","pages":"29 - 35"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49371052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. A. Mustafa, B. A. Ibraheem, Kawther M. GissmAllah, R. Elmahdi, Akram I. Omara
{"title":"Noise Reduction for Magnetic Resonance Imaging by Using Edge Detection and Hybrid Mean Lee Filter Techniques","authors":"Z. A. Mustafa, B. A. Ibraheem, Kawther M. GissmAllah, R. Elmahdi, Akram I. Omara","doi":"10.1097/JCE.0000000000000559","DOIUrl":"https://doi.org/10.1097/JCE.0000000000000559","url":null,"abstract":"In this article, spatial-domain filtering algorithms were developed to suppress additive noise in magnetic resonance (MR) imaging. It is difficult to suppress MR image noise because it corrupts almost all pixels in an image. The purpose of noise reduction is to curb the noise with high efficiency while keeping the edges and other detailed features as much as possible. The present article focused on developing quite efficient noise reduction by using an edge detection technique and hybrid mean Lee filters to suppress MR image noise quite effectively in spatial domain without yielding much distortion and blurring. The performances of the developed filter were compared with the existing filters in terms of universal quality index, method noise, and execution time. Among all existing filters, the edge detection technique and hybrid mean Lee filter was found to be best for suppressing MR image noise.","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":"48 1","pages":"21 - 28"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44270971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Benefits of Healthcare Technology Management Input in Medical Product Safety Network Reports","authors":"Cedric Brown, S. Waheed","doi":"10.1097/jce.0000000000000560","DOIUrl":"https://doi.org/10.1097/jce.0000000000000560","url":null,"abstract":"Healthcare technology management professionals play an important role in reporting medical device adverse events to the Food and Drug Administration by helping to identify and report device concerns, providing critical context to medical device reports, and mitigating safety concerns. The expert opinions and insights shared by healthcare technology management professionals are beneficial to the Food and Drug Administration and help the agency mitigate device-related problems and improve patient safety. This article is a case study that discusses how a medical device report involving infusion pump controllers was submitted to the Food and Drug Administration's Medical Product Safety Network reporting program and contributed to a voluntary class I recall affecting more than 800,000 devices nationwide. The details and context provided in the medical device report by the reporting team helped inform the investigation into, and resolution of, a device safety concern.","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":"48 1","pages":"36 - 38"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45240733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Mitral Regurgitation Using Fluid Structure Interaction","authors":"Atefe Rajaei, K. Hassani, A. T. Golpaygani","doi":"10.1097/JCE.0000000000000547","DOIUrl":"https://doi.org/10.1097/JCE.0000000000000547","url":null,"abstract":"In this study, mitral regurgitation was investigated using fluid-structure interaction method in 3 dimensions. The fluid-structure interaction modeling technique has been widely used for a wide range of applications in bioengineering sciences. However, despite all these advances, such studies in the field of cardiovascular complications are still limited, and the need for further research and studies seems necessary. Using these methods, the results can be obtained without the need for complex laboratory devices and systems and without spending a lot of time and money and only by modeling the behavior of the mitral valve. In this study, we tried to simulate the hydrodynamics of blood flow and its interaction with the return flow through the mitral valve using numerical solution software and validate it with the available laboratory results. A 3-dimensional numerical simulation was performed for the complete closure of the mitral valve leading to a return flow. Mitral valve, left atrium, and left ventricle were made. These images, consisting of 240 slices, were taken by a multislice computed tomography scan machine, converted to volume in supersonic Geomagic software, and then entered in ANSYS software. Fluid-structure interaction analysis was performed on the project, and the results were reported. Evaluation and comparison of the results show that von Mises stress and shear stress on the valve wall are higher in the normal state than all other conditions, whereas the velocity and pressure of blood flow in the normal state are less than other states. The highest shear stress, von Mises stress, blood flow velocity, and pressure, as well as the greater distance between the 2 leaflets, are the main parameters that affect the abnormities of mitral valve function.","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":"47 1","pages":"207 - 213"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47082586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}