medical computing
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Author(s):  
Meilin Gray

Biomedical computing for computer-aided biomedical diagnostics and the decision support system has developed a platform for the biomedical setting during the last few decades. As early as 1971, there were elaborate and basic applications of management information systems driven by biomedical informatics. According to a 1994 assessment, this field's literature stretches back to the 1950s. Medical decision is more challenging than ever for doctors and other caregivers due to the amount and complexity of contemporary patient information. This circumstance necessitates the application of medical computing technologies to evaluate data and formulate suggestions and/or forecasts to aid decision makers. Over the past two decades, healthcare informatics tools, such as computer-aided decision support, have grown indispensable and extensively employed. This article gives a quick overview of such technologies, their productivity applications and methodology, as well as the problems and directions they imply for the future.


Author(s):  
Omwoyo Bosire Onyancha

This paper evaluates the keywords and subject areas in records management (RM) publications, as indexed in the Scopus database, with a view to mapping RM research from 1971 to 2018 so as to determine the direction of research in the field. A total of 4 762 documents were obtained from the Scopus database using the term records management and searching within the title, abstract and keywords fields. The data was analysed using VOSviewer software. The findings reveal that interest in RM research has grown as the volume of publications has continued to increase. Whereas there was no dominant area of research in the 1980s, as far as RM research is concerned, the main focus in the 2010s was the management of electronic health records, thereby signalling a shift in RM research from being just an information management exercise to being used for the management of records in the medical and health sector. Other popular research areas in the 2010s were health care, electronic medical record/s, information management, medical computing, information systems, and electronic document exchange. A classification of the RM publications according to Scopus’s broad subject fields revealed that RM research is mainly conducted in computer science, engineering, medicine, and the social sciences. The study predicts a slow growth in the number of RM publications in the next ten years (2019-2028), greater focus on RM in the health sector, and continued dominance of computer-based systems and electronic records as topics of RM research.


Author(s):  
Dr. Khaled Albustanji

This study aimed to identify the effect of continuous improvement of medical services provided to patients , represented by the computerized Hakim medical program from the point of view of the medical staff workers, which is an applied study on KhreibetAl-Souq Comprehensive Medical Center after using the Hakim program. The researcher distributed (28) questionnaires on the study sample, i.e. approximately (40%) of the study population of (70) staff employees. (26) questionnaires were retrieved, and after checking the retrieved questionnaires, two questionnaires were excluded because they were not valid for statistical analysis, and accordingly, the number retrieved and valid for statistical analysis reached (24) questionnaires. The study reached several conclusions, the most important of which is that there is a statistically significant impact of continuous improvement represented by Hakim's computerized medical program on medical services provided to patients from the point of view of the medical staff, and that continuing to make improvements in work processes and procedures will lead to providing medical services to patients and beneficiaries, according to the requirements of both the beneficiaries and the medical employees, and will also lead to (more effective) arrangement, speed up and organization of work procedures and saves time and effort for both the medical workers and the beneficiaries, KEYWORDS: continuous improvement, hakim medical program, medical services, medical computing company, requirements of clients


Sign Least Mean Square (SLMS) adaptive filter can adapt dynamically based on corresponding filter output. One of the major applications of adaptive filter is Noise cancellation. In real time applications like medical computing, speed of the process developing hardware is essential hence the hardware realization of SLMS adaptive filter using Xilinx System generator is proposed in this work. The propose architecture aims to reduce convergence rate, path delay and increasing speed. In this work (i) Modified architecture is designed for a 8-tap SLMS adaptive filter and (ii) multiplier less structure for Modified DLMS Filter. The designed architecture tested for ECG signal. The functionality of the algorithm is verified in MATLAB with various ECG data from the MIT-BIH database as input. Both LMS and SLMS are designed, simulated, synthesized and implemented in Virtex-5 FPGA using Xilnix ISE 14.3 . The result shows 5% decrease in total real time router completion and also decrease in the number of adders and subtractors, the maximum combinational path delay has been reduced by 48.84% in Systolic Sign LMS Filter when compared to LMS Filter.


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