Internet of instruments

Hunter, Philip

doi:10.15252/embr.201847267

Cited by 3 publications

(1 citation statement)

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“…This past year especially, you might have heard the terms “openness” and “publishing” go hand‐in‐hand more frequently. We′ve heard talks about countrywide open‐access deals, and even the now widely discussed “Plan S” from the European Research Council, which has both staunch supporters and critics from politics, academia, and publishing . Here at Wiley‐VCH and ChemPubSoc Europe, we have a commitment to further open access, and we know that it is not just the future of publishing; rather, a movement that is alive here and now.…”

Section: Conferences and Special Issuesmentioning

confidence: 99%

Open Medicinal Chemistry

Peralta

2018

ChemMedChem

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Section: Conferences and Special Issuesmentioning

confidence: 99%

Open Medicinal Chemistry

Peralta

2018

ChemMedChem

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Enhancing Clinical Data Quality to Improve Patient Care in Rural Health Facilities

Mrara,

Oladimeji

2024

TOPHJ

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WHO recognizes that high-quality research is not just a scientific pursuit but a crucial factor in achieving global health, health equity, and economic development. It is not just about the numbers but about the lives we can save and improve. In this context, four research priority areas have been identified: prioritizing health needs, building research capacity, ensuring good research practice, and ensuring good evidence is translated into practice. Local health research tailored to local needs remains an important global health goal, with the potential to revolutionize patient care in rural health facilities. Researchers and policymakers in low- and middle-income countries have expressed serious concerns about the limited access to high-quality data, a fundamental requirement for reliable and valid research. The assessment of data quality is typically categorized into five key areas: availability, usability, dependability, relevance, and presentation quality. This concept is further clarified by demonstrating how a robust healthcare data environment can enhance patient management through research efforts. The term ‘health data environment' encompasses the entire process of gathering, storing, managing, analysing, and utilizing health-related data to improve patient care and healthcare policies through informed decision-making. In this context, we present the challenges that undermine the quality of research data and propose solutions. Specifically, we identify the lack of adequate human resources, reliance on paper-based records systems, and the high costs of internet connectivity as the primary barriers to collecting and sharing high-quality data for research in low-resource settings. To tackle these challenges, we advocate for governments and funding institutions to invest in data management and communication systems, recruit and train data management staff to support clinicians, and reduce connectivity costs. Furthermore, we propose the deployment of a decentralized system as a cost-effective and less labor-intensive solution that only requires data entry staff at health facilities in resource-limited settings. This article explores current data collection, storage, and interpretation challenges and proposes innovative improvement solutions. It emphasizes the transformative potential of digitization, standardization, and staff training to enhance data quality. It further addresses the impact of quality data on evidence-based practice, ultimately leading to improved health outcomes. Focusing on rural healthcare facilities sheds light on the unique barriers these settings face, proposing tailored strategies that can bridge the gap between urban and rural health service delivery. These insights offer valuable guidance for policymakers, healthcare administrators, and practitioners striving to improve patient care in rural areas through data-driven strategies.

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Online mental health education teaching mode and empirical research based on Artificial intelligence

Lilingling

2021

IFS

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With the continuous development of society, work pressure and study pressure are increasingly becoming the key factors affecting people’s physical and mental health, especially for college students, good knowledge and skills as well as superior psychological quality are the important factors for them to become excellent talents. As an important factor affecting people’s psychological quality, mental health has been paid more and more attention by people. The effect of traditional mental health education in daily education activities is not very obvious, which cannot achieve a profound impact on people’s mental health training and development. In this paper, based on the artificial intelligence online technology, an expert system of mental health education and daily consultation is designed. The system mainly integrates four application modules: psychological knowledge learning, psychological daily evaluation, psychological expert consultation and personal personalized management. The experiment shows that the artificial intelligence online expert consultation system designed in this paper can query daily psychological problems conveniently and quickly. At the same time, the treatment of human psychological problems can be realized through the intelligent online psychological counselling and the relief of psychological symptoms. The artificial intelligence online mental health education system has obvious practical value and social significance.

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Internet of instruments

Abstract: The internet of things is arriving at the laboratory, connecting instruments for remote control and monitoring. Along with Artificial Intelligence Software to analyse data and design experiments, it could fundamentally change the way research is done.

Cited by 3 publications

References 2 publications

Open Medicinal Chemistry

Open Medicinal Chemistry

Enhancing Clinical Data Quality to Improve Patient Care in Rural Health Facilities

Online mental health education teaching mode and empirical research based on Artificial intelligence

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