One Digital Health has effectively positioned itself as a unifying structure, illustrating the critical role of technology, data, information, and knowledge in enabling the interdisciplinary collaborations necessary for the One Health perspective. So far, One Digital Health's principal application sectors have been in FAIR data integration and analysis, disease surveillance, antimicrobial stewardship, and environmental monitoring.
One Health and One Digital Health supply strong instruments for evaluating and confronting crises within our shared environment. We propose a framework for Learning One Health Systems that can dynamically gather, integrate, analyze, and monitor data use across the biosphere.
Crises within our world are profoundly illuminated by the lenses of One Health and One Digital Health, enabling focused solutions. Learning One Health Systems are suggested as a framework for the dynamic capture, integration, analysis, and monitoring of data applications spanning the entire biosphere.
Our survey, employing a scoping review, examines how health equity has been promoted in clinical research informatics with patient implications, specifically focusing on publications from 2021 (and some in 2022).
The Joanna Briggs Institute Manual's described methods were used to conduct a scoping review. The review's five stages comprised: 1) defining the aim and research question, 2) a comprehensive literature search, 3) the critical selection of relevant literature, 4) meticulous data extraction, and 5) compiling and presenting the findings.
Eighteen papers met our inclusion criteria, from the total of 478 research papers examined in 2021. These papers were related to clinical research informatics and focused on patient health equity. The collection of papers was unified by their focus on the field of artificial intelligence (AI) technology. Papers focused on health equity in clinical research informatics, either by exposing inequities present in AI-based solutions or through using AI to enhance health equity in the provision of healthcare services. AI solutions in healthcare, susceptible to algorithmic bias, jeopardize health equity; however, AI has also uncovered disparities in conventional treatments and established effective complementary and alternative approaches which encourages health equity.
Ethical and clinical value concerns persist in clinical research informatics, impacting patient care. Clinical research informatics, if utilized strategically—for the specific aim and within the proper framework—could provide powerful instruments in promoting health equity in patient treatment.
Despite its potential implications for patients, clinical research informatics faces significant ethical and clinical value hurdles. Despite this, using clinical research informatics with precision—for its intended purpose and appropriate context—can yield strong instruments in the effort to improve health equity in patient care.
Guided by a review of a subset of the 2022 human and organizational factor (HOF) literature, this paper proposes strategies for building a cohesive One Digital Health ecosystem.
Studies featuring the terms 'human factors' or 'organization' within their title or abstract were identified through our research in a chosen subgroup of PubMed/Medline journals. Papers from 2022 were deemed suitable for the survey's selection process. Digital health interactions across micro, meso, and macro systems were investigated by categorizing chosen papers according to their structural and behavioral attributes.
Our review of the 2022 Hall of Fame literature revealed that, while we've made considerable strides in system-wide digital health interactions, significant obstacles remain. To support the wider application of digital health systems across various organizations, we must expand HOF research beyond individual users and systems, and strive for broader reach. Five hallmarks are presented, based on our findings, to structure the development of a unified One Digital Health ecosystem.
Enhanced coordination, communication, and collaboration within the health, environmental, and veterinary spheres are crucial components of One Digital Health. Hip flexion biomechanics For the development of more integrated and robust digital health systems, the augmentation of both structural and behavioral capacity within and beyond organizational frameworks is imperative, spanning health, environmental, and veterinary sectors. Within the HOF community lies a plethora of potential and it should play a leading role in creating a unified digital health infrastructure.
One Digital Health initiative compels us to enhance coordination, communication, and collaboration amongst the health, environmental, and veterinary sectors. A crucial step in achieving more robust and integrated digital health systems across the healthcare, environmental, and veterinary sectors entails developing both the structural and behavioural capacities of these systems at an organizational and wider scale. The HOF community holds much promise and must be at the forefront of creating a cohesive One Digital Health ecosystem.
In a review of current research regarding health information exchange (HIE), a comparative analysis will be conducted on the policy approaches implemented in the United States of America, the United Kingdom, Germany, Israel, and Portugal. The goal is to synthesize cross-national lessons learned and offer insights for future research directions.
A narrative review of each nation's HIE policies, including their current status and projected future strategies.
The prominent themes that evolved included the necessity of both centralized decision-making and local ingenuity, the diverse and complicated obstacles to extensive adoption of HIE systems, and the different roles of HIEs in various national healthcare system configurations.
The increasing reliance on electronic health records (EHRs) and the more digital nature of healthcare delivery elevate the importance and policy priority of HIE. Although all five case study nations have implemented some form of HIE, considerable disparities exist in their data-sharing infrastructure and maturity levels, with each nation employing a distinct policy strategy. Despite the difficulty in identifying universally applicable strategies in diverse global healthcare systems, several consistent themes surface in successful health information exchange policy frameworks, prominently the commitment of the central government to enabling data sharing. Finally, we present actionable recommendations to expand the breadth and depth of research on HIE, to support informed decision-making by future policymakers and practitioners.
HIE (Health Information Exchange) is becoming a more significant capability and policy priority in tandem with the expanding use of electronic health records (EHRs) and the growing digitization of healthcare. Despite the adoption of HIE by all five case study nations, substantial variations exist in their data sharing infrastructure and maturity levels, each nation pursuing a distinct policy approach. Pexidartinib Deciphering uniform strategies across varied international healthcare information exchange systems represents a significant challenge, yet recurrent themes are apparent in successful HIE policy frameworks. A consistent finding is the emphasis placed by central governments on promoting data sharing. In closing, we present several recommendations for future investigation, with the goal of augmenting the existing body of research on HIE, consequently assisting policymakers and practitioners in their future decision-making.
Within this literature review, studies from 2020 to 2022 that bear on clinical decision support (CDS), its effects on health disparities, and its effects on the digital divide are summarised. This survey analyzes current trends and synthesizes evidence-supported recommendations and considerations for future implementation and development of CDS tools.
A PubMed literature search was undertaken, encompassing publications from 2020 through 2022. In constructing our search strategy, we utilized the MEDLINE/PubMed Health Disparities and Minority Health Search Strategy, coupled with suitable MeSH terms and expressions from CDS resources. The data we extracted from the studies included the priority population, the influence domain tied to the disparity, and the particular CDS design utilized. We also documented instances where a study touched upon the digital divide, subsequently categorizing the observations into overarching themes via group discussions.
After a comprehensive search, 520 studies were discovered, and, ultimately, 45 were included in our final analysis following the screening phase. The most frequently encountered CDS type in this review was point-of-care alerts/reminders, reaching a frequency of 333%. The health care system demonstrated the most significant domain influence (711%), and Black and African American individuals featured as the most prevalent priority population (422%). In our review of existing literature, four overarching themes regarding the technology divide were found, including the inaccessibility of technology, the challenges of accessing healthcare, the reliability of technology, and the ability to understand and utilize technology. Desiccation biology Examining literature, a regular practice, that highlights CDS and tackles health disparities, may expose new strategies and patterns for improving healthcare systems.
Following our search, 520 studies were discovered, of which 45 were ultimately selected after the screening process was complete. Point-of-care alerts/reminders (333%) were the most common type of CDS identified in this review. Of all the domains, health care was the most frequently impactful (711% of the instances), and Blacks/African Americans were the most prominently featured priority population (422 instances). Our review of the literature identified four core themes connected to the digital divide: the lack of technological access, care access, the confidence in technology, and technological understanding. Research into literature containing examples of CDS and its relation to health inequalities can bring forward novel approaches and common patterns for advancing healthcare.