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This study presents a pioneering approach that leverages advanced sensing technologies and data processing techniques to enhance the process of clinical documentation generation during medical consultations. By employing sophisticated sensors to capture and interpret various cues such as speech patterns, intonations, or pauses, the system aims to accurately perceive and understand patient–doctor interactions in real time. This sensing capability allows for the automation of transcription and summarization tasks, facilitating the creation of concise and informative clinical documents. Through the integration of automatic speech recognition sensors, spoken dialogue is seamlessly converted into text, enabling efficient data capture. Additionally, deep models such as Transformer models are utilized to extract and analyze crucial information from the dialogue, ensuring that the generated summaries encapsulate the essence of the consultations accurately. Despite encountering challenges during development, experimentation with these sensing technologies has yielded promising results. The system achieved a maximum ROUGE-1 metric score of 0.57, demonstrating its effectiveness in summarizing complex medical discussions. This sensor-based approach aims to alleviate the administrative burden on healthcare professionals by automating documentation tasks and safeguarding important patient information. Ultimately, by enhancing the efficiency and reliability of clinical documentation, this innovative method contributes to improving overall healthcare outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Currently the operation management system and continual reference filed against problems such as: inadequate coordination between different levels of care, ill-founded references contrarreferencias insufficient, deficient information and guidance for patients, lack of facilitators system mechanism at state, jurisdictional and operational level and inadequate and inappropriate monitoring of cases. The renewal of the current care system is necessary to gradually establish programs to facilitate the timeliness, quality and continuity of patient care; along with education for self-care for patients, training for primary care level through academic courses and seminars aimed at the detection and early diagnosis of major cardiac diseases and a preventive approach them. In addition, it is intended that the primary care physician to remain continuously trained to carry out effective and efficient monitoring of patients and thus improve the continuity care of them. General Objective: Set a document by which formalize and standardize the procedures for reference and counter of patients between medical units consolidating integrated care networks and training of clinical management units that allow us on the one hand, improve the resolving power of the two levels of care and on the other, ensuring that care is timely, comprehensive, integrated, continuous quality and warmth. Specific Objectives: Standardize operating mechanisms of our system of reference and counter reference. Promote coordination and communication between the administrative and operational levels of the units. Establish clinical management modules to enhance the resolving power units. Facilitate the transfer of critically ill patients or urgent care medical units between first level and second or third level of care to promote continuity of care. Optimize human and material resources available to avoid duplication and waste of resources consultations. Implementation: Engaging stakeholders in steering management and the coordination of expertise, reference and Emergency Regional Hospital and Clinic Lindavista, to form the "SIRECO committee" to evaluate the inter-level problems and identify root problems which derives the lack of resoluteness of our reference system and contrarreferecia. we have come to make significant agreements to enhance communication and conduct the start of integrated care programs among institutions mentioned. In session every fifteen days and shaping the activities in a minute according to a general plan covering the following strategies: Reorganization and coordination Training Prevention Results: The committee began its sessions two months ago, during which we have maintained communication and dialogue between management units, which did not exist. Initially creating a care path, as a pilot, of the cardiology resolution and to give continuity to patients requiring pacemakers and catheterization. We have made three placements pacemaker and three catheterizations without actually duplicating consultation as previously patients requiring request a consultation cardiology tertiary only to realize the authorization procedure, which generated conflicts medically indicated between specialists and saturation agendas and lag. From this change, we can reduce the saturacón agendas, reduce procedure time from four weeks to two weeks, ensuring continuity of care and strengthen longuitudinalidad of the primary care unit. And, to reorganize agendas, the development of a module cardiology image for echocardiograms realizatr dobutamine echocardiography transthoracic through internal management was implemented to avoid unnecessary spending on budget items of subrogacón services achieving reduced by one month to 60 % of spending. Conlusiones: Strengthening dialogue management and clinical management units created to encourage communication; you can start the foundations of our integrated health system and develop strategies that promote continuity and person centered care attention. We have found that the rigid administrative management of the institutions generates resistance to change, but that through the development of leadership makers decisions and bilateral strategic planning is possible to perform a change (albeit small) in current models of health. It is expected that in the long term, we manage to continue implementing new strategies and reaffirming care network and generate the appropriate measuring instruments. [ABSTRACT FROM AUTHOR]

Pain assessment is a critical aspect of healthcare, influencing timely interventions and patient well-being. Traditional pain evaluation methods often rely on subjective patient reports, leading to inaccuracies and disparities in treatment, especially for patients who present difficulties to communicate due to cognitive impairments. Our contributions are three-fold. Firstly, we analyze the correlations of the data extracted from biomedical sensors. Then, we use state-of-the-art computer vision techniques to analyze videos focusing on the facial expressions of the patients, both per-frame and using the temporal context. We compare them and provide a baseline for pain assessment methods using two popular benchmarks: UNBC-McMaster Shoulder Pain Expression Archive Database and BioVid Heat Pain Database. We achieved an accuracy of over 96% and over 94% for the F1 Score, recall and precision metrics in pain estimation using single frames with the UNBC-McMaster dataset, employing state-of-the-art computer vision techniques such as Transformer-based architectures for vision tasks. In addition, from the conclusions drawn from the study, future lines of work in this area are discussed. [ABSTRACT FROM AUTHOR]