The concept of One Digital Health has swiftly emerged as a unifying structure, showcasing the indispensable role of technology, data, information, and knowledge in fostering the interdisciplinary teamwork fundamental to the One Health paradigm. The principal applications of One Digital Health up until now have revolved around FAIR data integration and analysis, disease surveillance, antimicrobial stewardship, and environmental monitoring.
The tools for understanding and solving crises in our living world are strengthened by One Health and One Digital Health. We suggest considering Learning One Health Systems that can dynamically acquire, integrate, analyze, and track the application of data throughout the biosphere.
One Health and One Digital Health offer profound and distinctive lenses for scrutinizing and responding to our world's crises. Dynamically capturing, integrating, analyzing, and monitoring data application across the biosphere is facilitated by the proposed Learning One Health Systems.
This survey investigates, via a scoping review, the promotion of health equity in clinical research informatics, with a focus on patient-centered implications, particularly those publications from 2021 (and some from 2022).
Guided by the Joanna Briggs Institute Manual, a scoping review was strategically implemented. The review process had five stages: 1) establishing research targets and questions, 2) researching relevant literature, 3) filtering and choosing applicable sources, 4) extracting the data, and 5) synthesizing and reporting results.
From the 478 papers published in 2021 on clinical research informatics, emphasizing health equity as a patient concern, eight met our required inclusion criteria. Every paper encompassed within the collection concentrated on the application of artificial intelligence (AI) technology. Papers on clinical research informatics tackled health equity in two ways: revealing inequities in AI-based solutions or leveraging AI to promote health equity in healthcare service delivery. Algorithmic bias in AI health solutions jeopardizes health equity, yet AI has also exposed inequalities in conventional treatments and offered beneficial supplements and alternatives to advance health equity.
Clinical research informatics, despite potential patient benefits, still encounters ethical and clinical value challenges. However, if used with the right consideration—for the appropriate purpose and in the suitable circumstance—clinical research informatics can present potent tools to promote health equity in patient care contexts.
Challenges of an ethical and clinical nature persist in clinical research informatics, affecting patient care implications. However, if employed wisely—for the correct application in the relevant environment—clinical research informatics could provide potent resources to advance 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.
We sifted through a selection of PubMed/Medline journals, looking for studies that showcased either 'human factors' or 'organization' in the title or summary description. The 2022 publications were considered for the survey's inclusion. Analyzing digital health-enabled interactions in micro, meso, and macro systems, selected research papers were categorized into structural and behavioral categories.
Our analysis of 2022 Hall of Fame literature on digital health interactions across systems indicates progress but demonstrates the continued presence of obstacles that require our attention. For effective scaling of digital health systems across and beyond organizational boundaries, research on HOFs must incorporate broader considerations than individual user and system analyses. Our analysis yields five crucial considerations for developing a comprehensive One Digital Health ecosystem.
To foster better coordination, communication, and collaboration among the health, environmental, and veterinary sectors, is a key challenge presented by One Digital Health. Site of infection To bolster the resilience and integration of digital health systems, we must cultivate both structural and behavioral capacities, not only within organizations but also across broader 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.
A crucial component of One Digital Health is the improvement of coordination, communication, and collaboration among the health, environmental, and veterinary industries. To create more robust and seamlessly integrated digital health systems encompassing health, environmental, and veterinary sectors, we must develop the structural and behavioral capacities of these systems at the organizational and broader levels. The HOF community has considerable resources and should take a prominent role in developing a single, integrated digital health system.
An examination of the recent body of work on health information exchange (HIE) is presented, analyzing the policy strategies of five countries: the United States of America, the United Kingdom, Germany, Israel, and Portugal. The purpose is to synthesize the key takeaways from each nation's approach, providing guidance for future research initiatives.
This narrative review details each nation's HIE policy framework, its current state, and its anticipated future HIE strategy.
Emerging key themes centered on the importance of both centralized decision-making and regional innovation, the complexities and variety of challenges in widespread HIE adoption, and the variable roles of HIEs across diverse national healthcare structures.
As electronic health records (EHRs) become more commonplace and care delivery increasingly transitions to digital platforms, HIE emerges as an increasingly important capability and a top policy priority. Though all five case study nations have incorporated some level of HIE, a notable variance exists in the development and readiness of their data sharing infrastructures, each nation adopting a distinct policy stance. 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, several recommendations for future research are presented, intending to broaden and deepen the current understanding of HIE and inform decision-making for policymakers and practitioners.
With the escalating integration of electronic health records (EHRs) and the growing digitalization of healthcare, HIE (Health Information Exchange) has become a key capability and a vital policy focus. Although all five case study nations have implemented HIE, there is a significant divergence in their data-sharing infrastructure development and maturity, with a disparate approach used by each nation. learn more Determining generalizable strategies throughout various international health information exchange systems proves a considerable obstacle, yet certain commonalities persist within successful HIE policy frameworks. A recurring aspect is the prominent role that central governments play in prioritizing data sharing. To wrap up, we furnish several recommendations for future research, which will serve to increase the complexity and comprehensiveness of the literature on HIE and to aid policymakers and practitioners in their decisions.
This review distills relevant studies on clinical decision support (CDS) from 2020 to 2022, investigating its impact on health inequalities and the digital gap. This survey identifies current trends, then synthesizes evidence-based recommendations and considerations for the future development and deployment of CDS tools.
Publications from 2020 to 2022 were identified through a PubMed database search. Our search strategy was developed using the MEDLINE/PubMed Health Disparities and Minority Health Search Strategy, augmented by relevant MeSH terms and phrases from CDS. After reviewing the research, we extracted data, focusing on the priority population, the domain of influence in regard to the disparity addressed, and the particular type of CDS employed. We also documented instances where a study touched upon the digital divide, subsequently categorizing the observations into overarching themes via group discussions.
Our search resulted in 520 studies, and 45 were chosen to move forward following the screening process. The most frequently encountered CDS type in this review was point-of-care alerts/reminders, reaching a frequency of 333%. The health care system frequently held sway (711%), and Black and African American communities consistently formed a 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. Biodiesel-derived glycerol Regularly examining literature that demonstrates CDS and addresses health disparities can yield new strategies and patterns for optimizing healthcare.
From our search, 520 studies were identified, and 45 met the criteria after the screening process was concluded. The most frequent occurrence within the CDS types in this review was point-of-care alerts/reminders, making up 333%. A significant portion (711%) of the influence stemmed from the health care system, with Blacks/African Americans being the most frequently targeted priority group (422 times). Examining the academic literature, we discovered four major concepts surrounding the digital gap: the difficulty accessing technology, healthcare availability, technology reliability, and technological awareness. Scrutinizing literature that depicts CDS and its implications for health disparities can uncover innovative strategies and recurring patterns for improving healthcare systems.