Author: Utkarshani Jaimini Publisher: ISBN: Category : Electronic books Languages : en Pages : 0
Book Description
Asthma is a personalized, and multi-trigger respiratory condition which requires continuous monitoring and management of symptoms and medication adherence. We developed kHealth: Knowledge-enabled Digital Healthcare Framework to monitor and manage the asthma symptoms, medication adherence, lung function, daily activity, sleep quality, indoor, and outdoor environmental triggers of pediatric asthma patients. The kHealth framework collects up to 1852 data points per patient per day. It is practically impossible for the clinicians, parents, and the patient to analyze this vast amount of multimodal data collected from the kHealth framework. In this chapter, we describe the personalized scores, clinically relevant asthma categorization using digital phenotype score, actionable insights, and potential intervention strategies for better pediatric asthma management.
Author: Svetlana P. Chapoval Publisher: BoD – Books on Demand ISBN: 1839692057 Category : Medical Languages : en Pages : 109
Book Description
This book provides an insightful and analytical look at several aspects related to asthma. Written by experts in the field, chapters cover such topics as asthma phenotypes and current biological treatments, anaphylactic reactions in radiology procedures, asthma and COVID-19, mobile apps for both patients and providers, the function of non-coding RNAs in asthma mediated by Th2 cells, and the roles of B7 and semaphorin molecules. The book provides readers the information they need to get a clear understanding of asthma, its phenotypes, treatment biologics, COVID-19 effects, digital care frameworks, epigenetics, and costimulators/immune checkpoints.
Author: C. D. Combs Publisher: John Wiley & Sons ISBN: 1118952774 Category : Mathematics Languages : en Pages : 331
Book Description
A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the “omics” fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers. The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes: The visible human The physiological human The virtual human Research in systems biology Multi-scale modeling Personalized medicine Self-quantification Visualization Computational modeling Interdisciplinary collaboration The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.
Author: Samira Larissa Harperink Publisher: ISBN: Category : Languages : en Pages :
Book Description
Background: Affecting approximately 235 million patients, asthma is one of the most common non-communicable diseases worldwide. Asthma causes hospitalizations and emergency room visits as well as days off from work or school. It also has a high mortality rate. As there is still no medical cure for asthma, disease management, education and health literacy are key aspects of treatment. Over the last decade, new technologies have offered new solutions for asthma management and asthma education. Asthma health interventions can now be delivered electronically or digitally via computers, websites or smartphones. Objective: This thesis evaluates "MAX - dein Asthmacoach," a digital health intervention for children with asthma that uses text-based chatbots. The goal of the thesis is the qualitative evaluation of the intervention, taking into account the experiences of the health professionals participating in the pilot study. Therefrom, design implications for implementation in the Swiss health care system may be derived. Method: Nine of the participating health professionals provided feedback and shared their experiences during in-person, semi-structured interviews. The interviews were recorded, transcribed and coded with MAXQDA 17. Results: Overall, 220 phrases were coded, and 69 coding terms were formed. The coding of the interviews resulted in 23 coding terms for aspects that were perceived as good by the health professionals and 31 coding terms for challenges and weaknesses in the intervention. The health professionals discussed 15 future development options for the interventions. These codes were summarized in a coding list with definitions and exemplary quotes. Conclusion: In general, the health professionals interviewed were enthusiastic about the digital health intervention and the application. However, they also provided relevant insights into the challenges and difficulties with the intervention. From these lessons learned in th.
Author: Dawn J. Dore-Stites Publisher: ISBN: Category : Asthma in children Languages : en Pages : 0
Book Description
Asthma is the most commonly diagnosed chronic disorder in childhood and is linked with several problematic outcomes including frequent school absences, increased hospitalizations and decreased quality of life. Further, urban populations struggling with low socioeconomic status are disproportionately represented in prevalence statistics and suffer from increased functional morbidity relative to other children with asthma. These findings exist in the midst of largely effective pharmacological interventions. Asthma self-management programs (SMPs) target several behaviors linked to improved outcomes and are often used as an adjunct to medication management. SMPs have been employed using a variety of techniques and treatment targets in a wide range of settings. Data suggests that SMPs have a mild to moderate impact on functional morbidity outcomes and merit further research. In order to facilitate efficacious interventions to those at highest risk of problematic outcomes, common barriers impinging on program attendance must be alleviated. The school setting proves to be an ideal location to deliver SMPs due to their accessibility and available resources. The current project evaluates a school-based asthma SMP delivered in an urban setting. Results reveal statistically significant increases in quality of life and child reported knowledge as well as decreased utilization of urgent care outpatient treatment. Trends towards decreased agreement between children and caregivers on allocation of asthma management tasks reflect challenges with implementation of programs in the absence of frequent parental contact. School-based asthma SMPs afford several benefits to high-risk populations but also must reflect the need for family involvement in successful asthma management.
Author: Agency for Healthcare Research and Quality/AHRQ Publisher: Government Printing Office ISBN: 1587634333 Category : Medical Languages : en Pages : 396
Book Description
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author: Pieter Kubben Publisher: Springer ISBN: 3319997130 Category : Medical Languages : en Pages : 219
Book Description
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author: Markus Dirk Dubber Publisher: Oxford Handbooks ISBN: 019006739X Category : Business & Economics Languages : en Pages : 896
Book Description
This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.
Author: Utkarshani Jaimini
Author: Svetlana P. Chapoval
Author: Santosh Krishna
Author: C. D. Combs
Author: 
Author: Samira Larissa Harperink
Author: Dawn J. Dore-Stites
Author: Agency for Healthcare Research and Quality/AHRQ
Author: Pieter Kubben
Author: Markus Dirk Dubber