J Med Syst
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Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including camels, cattle, cats and bats. Animal CoVs, such as Middle East respiratory syndrome-CoV, severe acute respiratory syndrome (SARS)-CoV, and the new virus named SARS-CoV-2, rarely infect and spread among humans. On January 30, 2020, the International Health Regulations Emergency Committee of the World Health Organisation declared the outbreak of the resulting disease from this new CoV called 'COVID-19', as a 'public health emergency of international concern'. ⋯ The reliability and acceptability of extracted information and datasets from implemented technologies in the literature were considered. Findings showed that researchers must proceed with insights they gain, focus on identifying solutions for CoV problems, and introduce new improvements. The growing emphasis on data mining and ML techniques in medical fields can provide the right environment for change and improvement.
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Employing software engineering to build an integrated, standardized, and scalable solution is closely associated with the healthcare domain. Furthermore, new diagnostic techniques have been developed to obtain better results in less time, saving costs, and bringing services closer to the most unprotected areas. This paper presents the integration of a top-notch component, such as hardware, software, telecommunications, and medical equipment, to produce a complete system of Electronic Health Record (EHR). ⋯ The total number of consults increased markedly from 2012 (14021) to 2019 (34751). The most commonly treated diseases in this region of Mexico are hypertension (17632) and diabetes (13156). The best results are obtained in the Nutrition (20,61%) and clinical psychology services (16,67%), and the worst levels are registered in pediatric and surgical oncology services where only 1,59% and 1,97% of the patients are admitted in less than 30 min, respectively.
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Graph theory is a well-established theory with many methods used in mathematics to study graph structures. In the field of medicine, electronic health records (EHR) are commonly used to store and analyze patient data. Consequently, it seems straight-forward to perform research on modeling EHR data as graphs. ⋯ Graphs representing individual patients are hardly used in research context, only eleven papers considered such kind of graphs in their investigations. The potential of graph theoretical algorithms, which are already well established, could help increasing this research field, but currently there are too few papers to estimate how this area of research will develop. Altogether, the use of such patient graphs could be a promising technique to develop decision support systems for diagnosis, medication or therapy of patients using similarity measurements or different kinds of analysis.
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A shift in healthcare payment models from volume toward value-based incentives will require deliberate input into systems development from both perioperative clinicians and administrators to ensure appropriate recognition of the value of all services provided-particularly ones that are not reimbursable in current fee-for-service payment models. Time-driven activity-based costing (TDABC) methodology identifies cost drivers and reduces inaccurate costing based on siloed budgets. ⋯ As payment models inevitably evolve towards value-based metrics, it will be critical to knowledgably participate in the coordination of these changes. This document provides 8 practical Recommendations from the Society for Perioperative Assessment and Quality Improvement (SPAQI) aimed at outlining the principles of TDABC, creating process maps for patient workflows, understanding payment structures, establishing physician alignment across service lines to create integrated practice units to facilitate development of evidence-based pathways for specific patient risk groups, establishing consistent care delivery, minimizing variability between physicians and departments, utilizing data analytics and information technology tools to track progress and obtain actionable data, and using TDABC to create costing transparency.