Analysis and Redesign Proposal for the Integration Systems and Technical Panels of Operating Room

Treballs Finals de Grau d'Enginyeria Biomèdica. Facultat de Medicina i Ciències de la Salut. Universitat de Barcelona. Curs: 2022-2023. Tutor/Director: Trias Gumbau, GerardThe increasing number of surgical procedures emphasizes the importance of operating rooms in hospitals. They are currently experiencing a digital revolution, reflecting the future direction of this field. The correct configuration of all systems of operating rooms is essential for enhancing surgical efficiency and reducing costs. Technical panels, also known as control panels, play a vital role in configuring operating rooms. These panels have evolved from basic modular systems to more interactive and user-friendly devices. During this study, the technical control panels in operating rooms and the existing solutions in the market are evaluated. From a theoretical perspective, the systems that need to be integrated and how they are integrated through a central integration server are being studied. On the other hand, a semi-functional mockup of the graphical user interface has been created using the Figma tool. The project includes the new way of interacting with the users and the Functional Plan of the user interface. Additionally, a demonstration video has been included to assess the user experience

Fast-tracking Healthcare Services for Students through the Design of a Hospital Information System

Students with good health status tend to attain better educational performance with low risk of academic failure unlike students with health issues. The discrepancies in the loss of instructional hours due to unplanned and delayed medical care widens the gap in academic performance between healthy and unhealthy students. Systems with the potential of providing excellent information access to relevant health personnel and eliminating absenteeism and lateness to duty which are paramount to timely healthcare delivery have now become a necessity. The urgent need for such a system, flexibility in the development process and the potential for adding or modifying later requirement specifications influenced the selection of the Rapid Application Development (RAD) Software Development Model for this study. This project designed and implemented a system that offers prompt healthcare delivery to narrow the gap between healthy and unhealthy students. Keywords: Education, Student Healthcare Delivery, Student Medical Condition, Hospital Information System, System Development, Software Engineering DOI: 10.7176/JEP/13-23-02 Publication date:August 31st 202

Design, implementation and realization of an integrated platform dedicated to e-public health, for analysing health data and supporting the management control in healthcare companies.

In healthcare, the information is a fundamental aspect and the human body is the major source of every kind of data: the challenge is to benefit from this huge amount of unstructured data by applying technologic solutions, called Big Data Analysis, that allows the management of data and the extraction of information through informatic systems. This thesis aims to introduce a technologic solution made up of two open source platforms: Power BI and Knime Analytics Platform. First, the importance, the role and the processes of business intelligence and machine learning in healthcare will be discussed; secondly, the platforms will be described, particularly enhancing their feasibility and capacities. Then, the clinical specialties, where they have been applied, will be shown by highlighting the international literature that have been produced: neurology, cardiology, oncology, fetal-monitoring and others. An application in the current pandemic situation due to SARS-CoV-2 will be described by using more than 50000 records: a cascade of 3 platforms helping health facilities to deal with the current worldwide pandemic. Finally, the advantages, the disadvantages, the limitations and the future developments in this framework will be discussed while the architectural technologic solution containing a data warehouse, a platform to collect data, two platforms to analyse health and management data and the possible applications will be shown

Design of a Framework for Cognitive Support in Dementia Care for the Elderly

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis section provides an overview of the magnitude of dementia care in communities and health care systems. It introduces the background and context for the utilization of technology and digital solutions to address mental health issues in the elderly, specifically focusing on dementia. The objective is to propose a design framework for the development of health technology that caters to caregivers of individuals living with dementia. A brief review of the latest studies related to the successful adoption of technology for dementia and cognitive impairment decline will serve as the foundation for the proposal of this thesis. The following paragraphs approach the background and context of the healthcare problems related to ageing and introduce dementia from a technological perspective. The research question is presented, along with the proposed objectives to address that question. Furthermore, the relevance of this study within the context of information management is summarized

Automated Screening Tests for Post-traumatic Stress Disorder and Patient Diagnosis Management System for the Usage of Clinical Neurologists

This project aims to provide help to clinical neurologists in the form of a multi-purpose system whereby the clinician will have an ease going through the vast number of patients with all sorts of neurological conditions. The system itself is very versatile and can be used for various types of neurological conditions depending on what the clinician intends to practice in. The system perpetuates the tracking of the condition of a patient once entered into the system by means of questionnaires and retrieval of data from past visits. The end point of the system means to generate a report for the doctor's perusal prior to the consultation period. In this way time consumption is decreased per patient and thus more patients can be attended to. The main contribution of the project will be to provide a manageable interface for clinicians, patients and nurses so that the above solutions can be achieved. The project expands onto using the system to research on Post Traumatic Stress Disorder (PTSD), and its diagnosis. It also allows a comparative study between the conventional methods of diagnosis against the automated one. The current results after the trial run of the automated show that neither method seems so different, further research with a new set of subjects is needed to determine the efficiency of automated screening tests. The user interface evaluation suggests that improvisations are needed in the areas of adaptability and reliability

A Scalable Architecture for Incremental Specification and Maintenance of Procedural and Declarative Clinical Decision-Support Knowledge

Clinical guidelines have been shown to improve the quality of medical care and to reduce its costs. However, most guidelines exist in a free-text representation and, without automation, are not sufficiently accessible to clinicians at the point of care. A prerequisite for automated guideline application is a machine-comprehensible representation of the guidelines. In this study, we designed and implemented a scalable architecture to support medical experts and knowledge engineers in specifying and maintaining the procedural and declarative aspects of clinical guideline knowledge, resulting in a machine comprehensible representation. The new framework significantly extends our previous work on the Digital electronic Guidelines Library (DeGeL) The current study designed and implemented a graphical framework for specification of declarative and procedural clinical knowledge, Gesher. We performed three different experiments to evaluate the functionality and usability of the major aspects of the new framework: Specification of procedural clinical knowledge, specification of declarative clinical knowledge, and exploration of a given clinical guideline. The subjects included clinicians and knowledge engineers (overall, 27 participants). The evaluations indicated high levels of completeness and correctness of the guideline specification process by both the clinicians and the knowledge engineers, although the best results, in the case of declarative-knowledge specification, were achieved by teams including a clinician and a knowledge engineer. The usability scores were high as well, although the clinicians’ assessment was significantly lower than the assessment of the knowledge engineers

Designing a training tool for imaging mental models

The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network