Smartwatch Technology in Medicine: A Call for Future Dermatologic Research.
Ontology highlight
ABSTRACT:
SUBMITTER: Nelson EE
PROVIDER: S-EPMC10616727 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Publications
Smartwatch Technology in Medicine: A Call for Future Dermatologic Research.
Nelson Emelie E EE Rousseau Morgan A MA Black T Austin TA George Mariya N MN Rashid Rashid M RM
JMIR dermatology 20231016
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Project description:BackgroundThe intersection of emergency medicine (EM) and palliative care (PC) has been recognized as an essential area of focus, with evidence suggesting that increased integration improves outcomes. This has resulted in increased research in EM PC. No current framework exists to help guide investigation and innovation.ObjectiveThe objective was to convene a working group to develop a roadmap that would help provide focus and prioritization for future research.MethodsParticipants were identified based on clinical, operation, policy, and research expertise in both EM and PC and spanned physician, nursing, social work, and patient perspectives. The research roadmap setting process consisted of three distinct phases that were time staggered over 12 months and facilitated through three live video convenings, asynchronous input via an online document, and a series of smaller video convenings of work groups focused on specific topics.ResultsGaps in the literature were identified and informed the four key areas for future research. Consensus was reached on these domains and the associated research questions in each domain to help guide future study. The key domains included work focused on the value imperative for PC in the emergency setting, models of care delivery, disparities, and measurement of impact and efficacy. Additionally, the group identified key methodological considerations for doing work at the intersection of EM and PC.ConclusionsThere are several key domains and associated questions that can help guide future research in ED PC. Focus on these areas, and answering these questions, offers the potential to improve the emergency care of patients with PC needs.
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Project description:Cardiothoracic surgical critical care medicine (CT-CCM) is a medical discipline centered on the perioperative care of diverse groups of patients. With an aging demographic and an increase in burden of chronic diseases the utilization of cardiothoracic surgical critical care units is likely to escalate in the coming decades. Given these projections, it is important to assess the state of cardiothoracic surgical intensive care, to develop goals and objectives for the future, and to identify knowledge gaps in need of scientific inquiry. This two-part review concentrates on CT-CCM as its own subspeciality of critical care and cardiothoracic surgery and provides aspirational goals for its practitioners and scientists. In part one, a list of guiding principles and a call-to-action agenda geared towards growth and promotion of CT-CCM are offered. In part two, an evaluation of selected scientific data is performed, identifying gaps in CT-CCM knowledge, and recommending direction to future scientific endeavors.
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Project description:Background: Culinary medicine (CM), an emerging discipline, is a novel approach that focuses on the art of food and cooking to prevent or improve health outcomes among chronic patients suffering from lifestyle diseases. The concept originated in the USA, gaining interest from scholars in medicine, nutrition, nursing, and the gastronomic discipline. Notably, in the last five years, there has been exponential growth in CM literature. In this regard, this study sought to examine the growth, performance and distinct research themes of CM literature over time. Methods: To achieve the study's objectives, this study employs descriptive, performance and bibliometric analysis. The descriptive analysis was applied to examine the growth of the CM literature since its emergence. The performance analysis was used to identify the most influential journals, articles, and authors in the CM domain. The bibliographic coupling analysis was adopted to discover the various research themes of the CM knowledge base. Results: This study identifies three stages of literature development: Early stage, modest growth stage, and emerging stage. Further, the results indicate that most of the studies on CM had been conducted in developed countries. Our findings reveal a clear interest in integrating the CM curriculum into medical/nutrition education programs in recent years. Additionally, the study discovers four distinct main research themes: knowledge assessment, impact measurement, acceptance and efficacy, and implementation of CM. Conclusions: These findings are helpful for scholars in medicine, nutrition, nursing, and gastronomy as they provide an overview of CM's development and research focus. Future studies could focus on expanding the geographical distribution of research on CM and further exploring the identified research themes to gain a deeper understanding of the potential of this approach for improving health outcomes among chronic disease patients.
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Project description:The placenta and fetal membrane act as a protective barrier throughout pregnancy while maintaining communication and nutrient exchange between the baby and the mother. Disruption of this barrier leads to various pregnancy complications, including preterm birth, which can have lasting negative consequences. Thus, understanding the role of the feto-maternal interface during pregnancy and parturition is vital to advancing basic and clinical research in the field of obstetrics. However, human subject studies are inherently difficult, and appropriate animal models are lacking. Due to these challenges, in vitro cell culture-based studies are most commonly utilized. However, the structure and functions of conventionally used in vitro 2D and 3D models are vastly different from the in vivo environment, making it difficult to fully understand the various factors affecting pregnancy as well as pathways and mechanisms contributing to term and preterm births. This limitation also makes it difficult to develop new therapeutics. The emergence of in vivo-like in vitro models such as organ-on-chip (OOC) platforms can better recapitulate in vivo functions and responses and has the potential to move this field forward significantly. OOC technology brings together two distinct fields, microfluidic engineering and cell/tissue biology, through which diverse human organ structures and functionalities can be built into a laboratory model that better mimics functions and responses of in vivo tissues and organs. In this review, we first provide an overview of the OOC technology, highlight two major designs commonly used in achieving multi-layer co-cultivation of cells, and introduce recently developed OOC models of the feto-maternal interface. As a vital component of this review, we aim to outline progress on the practicality and effectiveness of feto-maternal interface OOC (FM-OOC) models currently used and the advances they have fostered in obstetrics research. Lastly, we provide a perspective on the future basic research and clinical applications of FM-OOC models, and even those that integrate multiple organ systems into a single OOC system that may recreate intrauterine architecture in its entirety, which will accelerate our understanding of feto-maternal communication, induction of preterm labor, drug or toxicant permeability at this vital interface, and development of new therapeutic strategies.
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Project description:Extreme events have increased in frequency globally, with a simultaneous surge in scientific interest about their ecological responses, particularly in sensitive freshwater, coastal, and marine ecosystems. We synthesized observational studies of extreme events in these aquatic ecosystems, finding that many studies do not use consistent definitions of extreme events. Furthermore, many studies do not capture ecological responses across the full spatial scale of the events. In contrast, sampling often extends across longer temporal scales than the event itself, highlighting the usefulness of long-term monitoring. Many ecological studies of extreme events measure biological responses but exclude chemical and physical responses, underscoring the need for integrative and multidisciplinary approaches. To advance extreme event research, we suggest prioritizing pre- and postevent data collection, including leveraging long-term monitoring; making intersite and cross-scale comparisons; adopting novel empirical and statistical approaches; and developing funding streams to support flexible and responsive data collection.
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Project description: Not available
| S-EPMC3062900 | biostudies-literature
Project description:Machine learning (ML) refers to computational algorithms that iteratively improve their ability to recognize patterns in data. The digitization of our healthcare infrastructure is generating an abundance of data from electronic health records, imaging, wearables, and sensors that can be analyzed by ML algorithms to generate personalized risk assessments and promote guideline-directed medical management. ML's strength in generating insights from complex medical data to guide clinical decisions must be balanced with the potential to adversely affect patient privacy, safety, health equity, and clinical interpretability. This review provides a primer on key advances in ML for cardiovascular disease prevention and how they may impact clinical practice.
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Project description:BackgroundBlockchain offers a promising new distributed technology to address the challenges of data standardization, system interoperability, security, privacy, and accessibility of medical records.ObjectiveThe purpose of this review is to assess the research on the use of blockchain technology for patient care and the associated challenges and to provide a research agenda for future research.MethodsThis review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We queried the Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed, Excerpta Medica dataBASE (EMBASE), and Web of Science databases for peer-reviewed research articles published up to December 2019 that examined the implementation of blockchain technology in health care settings. We identified 800 articles from which we selected 70 empirical research articles for a detailed review.ResultsBlockchain-based patient care applications include medical information systems, personal health records, mobile health and telemedicine, data preservation systems and social networks, health information exchanges and remote monitoring systems, and medical research systems. These blockchain-based health care applications may improve patient engagement and empowerment, improve health care provider access to information, and enhance the use of health care information for medical research.ConclusionsBlockchain health information technology (HIT) provides benefits such as ensuring data privacy and security of health data, facilitating interoperability of heterogeneous HIT systems, and improving the quality of health care outcomes. However, barriers to using blockchain technology to build HIT include security and privacy vulnerabilities, user resistance, high computing power requirements and implementation costs, inefficient consensus algorithms, and challenges of integrating blockchain with existing HIT. With 51% of the research focused on medical information systems such as electronic health record and electronic medical record, and 53% of the research focused on data security and privacy issues, this review shows that HIT research is primarily focused on the use of blockchain technologies to address the current challenges HIT faces. Although Blockchain presents significant potential for disrupting health care, most ideas are in their infancy.
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Project description:Movement deterioration is the hallmark of Parkinson's disease (PD), characterized by levodopa-induced motor-fluctuations (i.e., symptoms' variability related to the medication cycle) in advanced stages. However, motor symptoms are typically too sporadically and/or subjectively assessed, ultimately preventing the effective monitoring of their progression, and thus leading to suboptimal treatment/therapeutic choices. Smartwatches (SW) enable a quantitative-oriented approach to motor-symptoms evaluation, namely home-based monitoring (HBM) using an embedded inertial measurement unit. Studies validated such approach against in-clinic evaluations. In this work, we aimed at delineating personalized motor-fluctuations' profiles, thus capturing individual differences. 21 advanced PD patients with motor fluctuations were monitored for 2 weeks using a SW and a smartphone-dedicated app (Intel Pharma Analytics Platform). The SW continuously collected passive data (tremor, dyskinesia, level of activity using dedicated algorithms) and active data, i.e., time-up-and-go, finger tapping, hand tremor and hand rotation carried out daily, once in OFF and once in ON levodopa periods. We observed overall high compliance with the protocol. Furthermore, we observed striking differences among the individual patterns of symptoms' levodopa-related variations across the HBM, allowing to divide our participants among four data-driven, motor-fluctuations' profiles. This highlights the potential of HBM using SW technology for revolutionizing clinical practices.
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