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The intersection of technological changes and societal evolution has transformed every aspect of human life. Technological advancements are transforming how healthcare knowledge is expanding and accelerating the outreach of critical medical services delivery (Jamal et al. in Health Information Management Journal 38(3):26-37, 2009). While this transformation facilitates new opportunities simultaneously it also introduces challenges (Jacobzone and Oxley, 2001). Appropriate Health Technology (HT) is vital to new and existing global health care programs. Therefore, qualified professionals who can safely guide the development, evaluation, installation, integration, performance assurance, and risk mitigation of HT must be in position to lead. Trained Clinical Engineers (CE) and Biomedical Engineers (BE) have been recognized by the World Health Organization (WHO) as the essential practitioners to providing this critically needed guidance. Over the past four years, a senior professional group participated in an international project that seeks evidence for the hypothesis-that the engagement of CE and BE in guiding HTimpacts positively on patient outcomes, while the alternative is that there is no difference. The group collected published data that was subjected to peer review screening; additional data qualification conditions are described in this paper. The project was initiated at the Global CE Summit during the first International Clinical Engineering and Health Technology Management Congress (ICEHTMC) in Hangzhou, China in October 2015 (Global Clinical Engineering Summit at the First International Clinical Engineering and Health Technology Management Congress, 2015). Following the adoption of a resolution to investigate CE contributions to the improvement of world health status, an international survey and literature survey were initiated. During the first two years of this project 150 case studies from 90 countries were identified covering the previous ten years. The results of this survey were presented to health leaders at the World Health Organization (WHO) World Health Assembly in 2016. Last year, 250 case studies were added including 35 more countries covering the 2016-2017 period. The combined project contains 400 qualified submissions from 125 countries. The conclusion was that engagement of CE and BME is critical for successful investment in HT and for achieving intended patient outcomes. This paper describes the project's plan, the results of the literature review performed, and the evidence identified during the process.
The intersection of technological changes and societal evolution has transformed every aspect of human life. Technological advancements are transforming how healthcare knowledge is expanding and accelerating the outreach of critical medical services delivery (Jamal et al. in Health Information Management Journal 38(3):26-37, 2009). While this transformation facilitates new opportunities simultaneously it also introduces challenges (Jacobzone and Oxley, 2001). Appropriate Health Technology (HT) is vital to new and existing global health care programs. Therefore, qualified professionals who can safely guide the development, evaluation, installation, integration, performance assurance, and risk mitigation of HT must be in position to lead. Trained Clinical Engineers (CE) and Biomedical Engineers (BE) have been recognized by the World Health Organization (WHO) as the essential practitioners to providing this critically needed guidance. Over the past four years, a senior professional group participated in an international project that seeks evidence for the hypothesis-that the engagement of CE and BE in guiding HTimpacts positively on patient outcomes, while the alternative is that there is no difference. The group collected published data that was subjected to peer review screening; additional data qualification conditions are described in this paper. The project was initiated at the Global CE Summit during the first International Clinical Engineering and Health Technology Management Congress (ICEHTMC) in Hangzhou, China in October 2015 (Global Clinical Engineering Summit at the First International Clinical Engineering and Health Technology Management Congress, 2015). Following the adoption of a resolution to investigate CE contributions to the improvement of world health status, an international survey and literature survey were initiated. During the first two years of this project 150 case studies from 90 countries were identified covering the previous ten years. The results of this survey were presented to health leaders at the World Health Organization (WHO) World Health Assembly in 2016. Last year, 250 case studies were added including 35 more countries covering the 2016-2017 period. The combined project contains 400 qualified submissions from 125 countries. The conclusion was that engagement of CE and BME is critical for successful investment in HT and for achieving intended patient outcomes. This paper describes the project's plan, the results of the literature review performed, and the evidence identified during the process.
Deep Brain Stimulation (DBS) has been successfully used to treat patients with Parkinson’s Disease. DBS employs an electrode that regulates the oscillatory activity of the basal ganglia, such as the subthalamic nucleus (STN). A critical point during the surgical implantation of such electrode is the precise localization of the target. This is done using presurgical images, stereotactic frames, and microelectrode recordings (MER). The latter allows neurophysiologists to visualize the electrical activity of different structures along the surgical track, each of them with well-defined variations in the frequency pattern; however, this is far from an automatic or semi-automatic method to help these specialists make decisions concerning the surgical target. To pave the way to automation, we analyzed three frequency bands in MER signals acquired from 11 patients undergoing DBS: beta (13-40 Hz), gamma (40-200 Hz), and high-frequency oscillations (HFO – 201-400 Hz). In this study, we propose and assess five indexes in order to detect the STN: variations in autoregressive parameters and their derivative along the surgical track, the energy of each band calculated using the Yule-Walker power spectral density, the high-to-low (H/L) ratio, and its derivative. We found that the derivative of one parameter of the beta band and the H/L ratio of the HFO/gamma bands produced errors in STN targeting like those reported in the literature produced by image-based methods (<2 mm). Although the indexes introduced here are simple to compute and could be applied in real time, further studies must be conducted to be able to generalize their results.
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