Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring0 تومان
As Internet of Things (IoT) devices and other remote patient monitoring systems increase in popularity, security concerns about the transfer and logging of data transactions arise. In order to handle the protected health information (PHI) generated by these devices, we propose utilizing blockchain-based smart contracts to facilitate secure analysis and management of medical sensors. Using a private blockchain based on the Ethereum protocol, we created a system where the sensors communicate with a smart device that calls smart contracts and writes records of all events on the blockchain. This smart contract system would support real-time patient monitoring and medical interventions by sending notifications to patients and medical professionals, while also maintaining a secure record of who has initiated these activities. This would resolve many security vulnerabilities associated with remote patient monitoring and automate the delivery of notifications to all involved parties in a HIPAA compliant manner.
Healthcare data analysis system for regional medical union in smart city0 تومان
Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai, in China. However, electronic medical ata analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures. In smart cities, demands for medical services provided by smart devises, complicate the environment of medical data analysis. In order to tackle the above problems, in this paper, a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view. Behaviour patterns are mined from physiological index values. Tags are generated from social networks data to find the hot topicsconcerned by people living in common region. Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.
Advances in Experimental Medicine and Biology0 تومان
The objective of this paper is to define the definition of smart patients, summarize the existing foundation, and explore the approaches and system participation model of how to become a smart patient. Here a thorough review of the literature was conducted to make theory derivation processes of the smart patient; “data, information, knowledge, and wisdom (DIKW) framework” was performed to construct the model of how smart patients participate in the medical process. The smart patient can take an active role and fully participate in their own health management; DIKW system model provides a theoretical framework and practical model of smart patients; patient education is the key to the realization of smart patients. The conclusion is that the smart patient is attainable and he or she is not merely a patient but more importantly a captain and global manager of one’s own health management, a partner of medical practitioner, and also a supervisor of medical behavior. Smart patients can actively participate in their healthcare and assume higher levels of responsibility for their own health and wellness which can facilitate the development of precision medicine and its widespread practice.
Business Process Re-Engineering Application in Healthcare in a relation to Health Information Systems0 تومان
Technology application such as health information system in health care affects health care delivery including its clinical process. Health information system is used extensively in healthcare to support the infrastructure of medicine. Improving clinical process enables better understanding of healthcare systems as technology and clinical process need to be aligned to each other. One of the introduced techniques which improve clinical process is business process re-engineering (BPR). The aim of this paper is to investigate the application of BPR and its effectiveness in healthcare related to health information systems (HIS); this paper also highlights critical success factors for healthcare organizations to consider while implementing BPR in their process. In conclusion, application of BPR before implementation of HIS or even after implementation can be helpful to improve effectiveness of HIS. Application of IT can also be an enabler for redesign process, particularly in integration of multiple processes and process automation.
Business Process Re-Engineering At Cardiology Department0 تومان
Healthcare sector is the world’s third largest industry and is facing several problems like excessive waiting times for patients, lack of access to information, high costs of delivery and medical errors. Healthcare Managers seek the help of process reengineering methods to discover the best processes for performing work, and that processes are reengineered to optimize productivity without compromising on quality. Business Process Reengineering refers to the fundamental rethinking and radical redesign of business processes to achieve dramatic improvements in critical, contemporary measures of performance, such as cost, quality and speed. The present study is carried out at tertiary care corporate hospital with 1,000- plus-bed facility. A descriptive study and case study method is used with intensive, careful, complete observation of patient flow, delays, short comings in the patient movement and workflow. Data is collected through observations, informal interviews and analyzed by Matrix Analysis. Flowcharts were drawn for the various work activities of cardiology department including Workflow of the admission process, Workflow in ward & ICCU, Work flow of the patient for catheterization laboratory procedure & Billing and Discharge Process. The Problems of the existing system were studied and necessary suggestions were recommended to cardiology department module with illustrated Flow chart.
Gay Mental Healthcare Providers and Patients in the Military0 تومان
This volume has many points of origin. Various chapters in this volume will have their own narratives with a beginning and perhaps an end. This introduction will lay groundwork for the following chapters. On my part, I will start for now with the American Psychiatric Association meeting in San Francisco in 2013. A symposium there was titled, “Bringing the Uniform out of the Closet: Artistic and Clinical Perspectives of Gay Military Life Before and After ‘Don’t Ask, Don’t Tell’” . I was asked to speak because of my role participating in the Pentagon work group to examine the repeal of “Don’t Ask, Don’t Tell” (DADT). That work group was convened in 2010 to examine how and if to repeal the DADT policy. There my main contribution was pushing the DoD group to move past discussion of fears of battlefeld transmission of HIV, to the positive effects of service members not having to live in fear of exposure of their sexual identity.
Job Stress and Burnout Syndrome among Critical Care Healthcare Workers0 تومان
Among healthcare professions, critical care healthcare workers (HCWs) have one of the most stressful jobs. This study was conducted to determine the relationship between job stress and burnout syndrome (BOS) among nurses and healthcare technicians at the surgical emergency department and intensive care unit of Critical Care department at the Alexandria University Hospital. Methods: A cross-sectional approach was conducted from October 2014 to March 2015. Eighty-two nurses and healthcare technicians participated in the research (response rate = 80.39%). Data was collected by an interview questionnaire using selected subscales of NIOSH Generic job stress Questionnaire and Maslach Burnout Inventory of Health and human service Questionnaire. The relationship between BOS and job stress was examined using bivariate and multivariate analyses. Results: Although majority of participants reported variation of workload (84.15%), quantitative overload (76.8%), responsibility for peoples’ life (69.5%) and lack of perceived control (63.41%), yet, 85.4% were satisfied with their job. Moreover, high levels of emotional exhaustion was reported by the majority of participants (80%), while less than one third reported either high levels of depersonalization or low levels of personal accomplishment domains of BOS. In multiple regression analysis, skill underutilization, variation in workload, and intragroup conflicts were negatively associated with BOS domains. While, job satisfaction and responsibility for peoples’ life were positively associated with personal accomplishment domain of BOS. Conclusion: Critical care HCWs had high BOS. The study concluded that reducing intragroup conflict, improving skills utilization, and raising job satisfaction are crucial to reduce BOS among critical care HCWs. More attention and psychological support is recommended to critical care HCWs.
Pocket Book for Simulation Debriefng in Healthcare0 تومان
Debriefng is a crucial aspect of simulation-based educational interventions in healthcare. This section of this pocket book aims to clarify what debriefng is really about and why it is such an important aspect of the learning process for everyone involved: participants, simulation observers, and facilitators alike. It also places emphasis on the aspect of briefng as a phase that sets foundation for a successful debriefng so learners understand the approach adopted and what will be expected from them during that phase and its purpose. The many other critical aspects around the practicalities of debriefng, which are “the what, who, when, where, and how to debrief”, are individually explored to provide clear advice with support of relevant references. Of notable importance in this section is the clear description of the most common education performance review approaches (directive feedback, plus/delta, after action review, structured debriefing, etc.) so the most appropriate one can be selected depending on various parameters such as the learning objectives being addressed, the level of expertise of the participants, and the time available.
The CLES-Scale: An Evaluation Tool for Healthcare Education0 تومان
Professional healthcare is an important component of the welfare service provision of a modern society. Healthcare is delivered by a wide range of healthcare professionals in both the public and private sectors. Typically, healthcare professionals are divided into medical and nursing staff. In this book, healthcare education refers to degree programmes for professions such as nursing, midwifery, emergency treatment, physiotherapy, public health nursing and radiography. The names given to these nursing-based professions vary across the world including within Europe ,where much effort has been made to standardise the terminology used in these healthcare education programmes. The broad outlines of healthcare education in the European Union (EU) are defned in the Bologna Declaration and in Directive 2005/36/EC (Recognition of Professional Qualifcations) (European Commission 2005). Healthcare education in the EU has been organised by higher education institutions (HEI), either university colleges or higher professional colleges (also known as polytechnics or universities of applied sciences) .Degree programmes in healthcare vary in length between 3 and 4 years, and include theoretical studies and clinical training periods in clinical placements (Spitzer and Perrenoud 2006; Warne et al. 2010). Medical education and training programmes for medical studies are largely excluded from this book. Medical education is treated as one example of an area where few exploratory projects using the CLES framework have )been done (Part III, Chap. 9
Translational Informatics in Smart Healthcare0 تومان
The past decade has witnessed great advances in biomedical informatics. Biomedical informatics is an emerging field of healthcare that aims to translate the laboratory observation into clinical practice. Smart healthcare has also developed rapidly with ubiquitous sensor and communication technologies. It is able to capture the online patient-centric phenotypic variables, thus providing a rich information base for translational biomedical informatics. Biomedical informatics and smart healthcare represent two interrelated disciplines. On one hand, biomedical informatics translates the bench discoveries into bedside, and, on the other hand, it is reciprocally informed by clinical data generated from smart healthcare. In this chapter, we will introduce the major strategies and challenges in the application of biomedical informatics technology in precision medicine and healthcare. We highlight how the informatics technology will promote the precision medicine and therefore promise the improvement of healthcare.
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