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1,170 results for “Healthcare”
Supplementary material to "Healthcare resource use associated with tumor-induced osteomalacia: a literature review"
<p>Tumor-induced osteomalacia (TIO) is an ultra-rare, paraneoplastic syndrome caused by tumors that secrete fibroblast growth factor 23 (FGF23). Initial signs and musculoskeletal symptoms can be non-specific and unrecognized, leading to long delays in diagnosis and treatment, which results in severe and progressive disability in patients with TIO. This review aimed to identify published evidence on healthcare resource use in TIO to better understand the burden of the disease. A targeted literature review was conducted to identify publications reporting on disease characteristics and healthcare resource use associated with TIO. In total, 414 publications were included in the review, of which 376 were case reports. From the case reports, data on 621 patients were extracted. These patients had a mean (standard deviation) age of 46.3 (15.8) years; 57.6% were male. The mean time from first symptoms to diagnosis of TIO was 4.6 (4.7) years and, in cases where imaging tests were reported, patients underwent a mean of 4.1 (2.7) procedures. Tumor resection was attempted in 81.0% of patients and successful in 67.0%. The fracture was reported in 49.3% of patients. Results from association analyses demonstrated that a longer time to diagnosis was associated with poorer tumor resection outcomes and a higher probability of tumor recurrence. Unfavorable tumor resection outcomes were associated with greater use of pharmacologic treatment and a greater likelihood of orthopedic surgery. TIO is associated with a substantial healthcare resource burden. Improvements in the diagnostic process could lead to better management of TIO, thereby benefiting patients and reducing that burden.</p>
Generative AI in Healthcare: Revolutionizing Patient Care and Medical Innovation
<p><a href="https://autorexa.com/transforming-patient-care-the-role-of-generative-ai-in-modern-healthcare/">Generative AI in Healthcare</a> is revolutionizing the medical field by enhancing diagnostics, accelerating drug discovery, enabling personalized treatments, and improving patient engagement. From creating synthetic medical images for training to developing tailored treatment plans, this technology is transforming patient care and medical research. With its ability to analyze vast datasets and automate complex processes, generative AI is driving efficiency, reducing costs, and delivering precise solutions. Learn how generative AI is shaping the future of healthcare with innovation, accuracy, and accessibility.</p>
Validation of MUISCA for Blockchain Interoperability: A Case Study in a Healthcare Environment
<p>This repository contains the questions asked to the 31 experts who participated in the study “Validation of MUISCA for Blockchain Interoperability: A Case Study in a Healthcare Environment”. It also contains the spreadsheet with the recorded answers.</p>
Database of a pilot USF developed in the Flexsim Healthcare program.
<p>The database presented is included in my master's thesis project. This includes data from simulated query times over a year. Five different tables (0, 1, 2, 3 and 4) are presented with the application of different variations in patient arrivals and time of appointments.</p>
Prevalence of psychopathological symptoms and their determinants in 4 healthcare workers categories during the second year of COVID-19 pandemic
<p>Dataset including data presented in the paper: <strong>Prevalence of psychopathological symptoms and their determinants in 4 healthcare workers categories during the second year of COVID-19 pandemic</strong></p>
Triggering and protective factors against stress among healthcare staff during the Covid-19 pandemic. A hospital management study.
<p>Data set to carry out the study "Triggering and protective factors against stress among healthcare staff during the Covid-19 pandemic. A hospital management study".</p>
Protective effect conferred by prior infection and vaccination on COVID-19 in a healthcare worker cohort in South India
<p><span>The emergence of newer variants with the immune escape potential raises concerns about breakthroughs and re-infections resulting in future waves of infection. We examined the protective effect of prior COVID-19 disease and vaccination on infection rates among a cohort of healthcare workers (HCW) in South India during the second wave driven mainly by the delta variant. </span><span>Symptomatic HCWs were routinely tested by RT-PCR as per institutional policy. Vaccination was offered to all HCWs in late January, and the details were documented. We set up a non-concurrent cohort to document infection rates and estimated protective efficacy of prior infection and vaccination between 16th Apr to 31st May 2021, using a Cox proportional hazards model with time-varying covariates adjusting for daily incidence.</span></p> <p><span>Between June 2020 and May 2021, 2735 (23.9%) of 11,405 HCWs were infected, with 1412, including 32 re-infections, reported during the second wave. 6863 HCWs received two doses of vaccine and 1905 one dose. The protective efficacy of prior infection against symptomatic infection was 86.0% (95% CI 76.7% - 91.6%). Vaccination combined with prior infection provided 91.1% (95% CI 84.1% - 94.9%) efficacy. In the absence of prior infection, vaccine efficacy against symptomatic infection during the second wave was 31.8% (95% CI 23.5% – 39.1%).</span></p> <p><span>Prior infection provided substantial protection against symptomatic re-infection and severe disease during a delta variant-driven second wave in a cohort of health care workers.</span></p>
List of genes (Healthcare-1831464)
<p>List of genes.</p> <p>Healthcare-1831464</p>
List of genes (healthcare-1840498)
<p>List of genes of the autoimmune discovery transcriptome panel</p>
Using nudges to promote clinical decision making of healthcare professionals: A scoping review
<p>Nudging has been discussed in the context of policy and public health, but not so much within healthcare and how it can be applied to change the behavior of healthcare professionals (HCPs). This scoping review aimed to assess the empirical evidence on how nudging techniques can be used to affect the behavior of HCPs in clinical settings.</p> <p>A systematic database search was conducted for the period January 2010-December 2020 using the PRISMA extension for Scoping Review checklist. Two reviewers independently screened each article for inclusion. Included articles were reviewed to extract key information about each intervention, including purpose, target behavior, measured outcomes, key findings, nudging strategies used, and their theoretical underpinnings. Two independent dimensions were used to describe nudging strategies according to action and timing where each of the identified nudging strategies and objectives was characterized as active, passive, synchronous, or asynchronous. </p> <p>Of the included 51 articles, 40 reported statistically positive results, six reported no success and two reported mixed results. Thirteen different nudging strategies were identified aimed at modifying four types of HPCs behavior:prescriptions/orders, procedure, hand hygiene, and vaccination. The most common nudging strategy used involved default/pre-order nudges, followed by alerts/reminders and active choice. Both passive and active nudges showed positive results, highlighting the importance of long-term studies that evaluate if the desired outcome is maintained. Careful ethical consideration should however be given to passive strategies where the user might not be aware of the nudge. </p>
Effect of the free healthcare policy on the health services' utilisation by children under five years in Burkina Faso
<p class="MsoNormal"><strong><span>Objectives:</span></strong><span> This study aimed to analyse</span><span>, </span><span>at </span><span>national level, </span><span>the effects of the free healthcare policy for children on the use of health services by children under five in Burkina Faso. We hypothesized that this policy has led to an immediate and sustained increase in the use of health services for these children in the country. </span></p> <p class="MsoNormal"><strong><span>Setting:</span></strong><span> We conducted a controlled interrupted time series. Monthly data at district level, spanning from January 2013 to December 2018 and corresponding to 72 monthly data points (39 before and 33 after), were extracted from the Burkina Faso National Health Information System. The analysed dataset included data from all the 70 health districts of the country.</span></p> <p class="MsoNormal"><strong><span>Participants: </span></strong><span>The study consisted of aggregated data from children under five as the target for the policy with children aged between 5-14 years old as control group. </span></p> <p class="MsoNormal"><strong><span>Intervention: </span></strong><span>The intervention was the introduction of the free healthcare policy for women and children under five years from April 2016. </span></p> <p class="MsoNormal"><strong><span>Outcome: </span></strong><span>The primary outcome was the mean monthly rate of health services visits by children </span></p> <p class="MsoNormal"><strong><span>Results: </span></strong><span>Among the children under five,<strong> </strong><span>the rate of visits increased of 57% (IRR= 1.57; 95% CI=</span>1.2 to 2.0<span>) in the month immediately following the launching of the free healthcare policy. An increase in the rate of health facility visits of 1% </span></span><span>(IRR=1.01; 95% CI=</span><span>1.0 to 1.1) <span>per month was also noted during post-intervention. Compared to the control group, we observed an </span></span><span>increase of the rate of visits of 2.5% (IRR=1.025; 95%CI= 1.023 to 1.026) per month. </span></p> <p class="MsoNormal"><strong><span>Conclusion: </span></strong><span>Findings suggest that the</span><strong><span> </span></strong><span>free healthcare policy increased the use of health facilities for care in Burkina Faso immediately after the implementation of the policy with a small increase in the rate overtime. Strategies to maintain the policy effect over time are necessary. </span></p>
Data from: Safety and efficacy of BCG re-vaccination in relation to COVID-19 morbidity in healthcare workers: A double-blind, randomised, controlled, phase 3 trial
<p>Morbidity and mortality attributable to COVID-19 is devastating global health systems and economies. Bacillus Calmette Guérin (BCG) vaccination has been in use for many decades to prevent severe forms of tuberculosis in children. Studies have also shown a combination of improved long-term innate or trained immunity (through epigenetic reprogramming of myeloid cells) and adaptive responses after BCG vaccination, which leads to non-specific protective effects in adults. Observational studies have shown that countries with routine BCG vaccination programs have significantly less reported cases and deaths of COVID-19, but such studies are prone to significant bias and need confirmation. To date, in the absence of direct evidence, WHO does not recommend BCG for the prevention of COVID-19. This project aims to investigate in a timely manner whether and why BCG-revaccination can reduce infection rate and/or disease severity in health care workers during the SARS-CoV-2 outbreak in South Africa. </p> <p>These objectives will be achieved with a blinded, randomised controlled trial of BCG revaccination versus placebo in exposed front-line staff in hospitals in Cape Town. Observations will include the rate of infection with COVID-19 as well as the occurrence of mild, moderate or severe ambulatory respiratory tract infections, hospitalisation, need for oxygen, mechanical ventilation or death. HIV-positive individuals will be excluded. Safety of the vaccines will be monitored. A secondary endpoint is the occurrence of latent or active tuberculosis. Initial sample size and follow-up duration is at least 500 workers and 52 weeks. Statistical analysis will be model-based and ongoing in real time with frequent interim analyses and optional increases of both sample size or observation time, based on the unforeseeable trajectory of the South African COVID-19 epidemic, available funds and recommendations of an independent data and safety monitoring board. The study will be supported by a novel 3D lung organoid model of SARS-CoV-2 infection system that can mimic the cascade of immunological events after SARS-CoV-2 infection to determine and analyse the contribution of cellular components to the impact of BCG revaccination in this study.</p> <p>Given the immediate threat of the SARS-CoV-2 epidemic the trial has been designed as a pragmatic study with highly feasible endpoints that can be continuously measured. This allows for the most rapid identification of a beneficial outcome that would lead to immediate dissemination of the results, vaccination of the control group and outreach to the health authorities to consider BCG vaccination for all qualifying health care workers.</p>
Semantic Triples from "A Collaborative, Realism-Based, Electronic Healthcare Graph: Public Data, Common Data Models, and Practical Instantiation"
<p>These RDF triples (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_graph_exportable.nq.zip?versionId=7aff7c4a-bb0c-46ae-b006-7a80bcec0925">synthea_graph_exportable.nq.zip</a>) are the result of modeling electronic health records (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_csv_output_turbo_cannonical.zip">synthea_csv_output_turbo_cannonical.zip), </a>that were synthesized with the Synthea software (https://github.com/synthetichealth/synthea). Anyone who loads them into a triplestore database is encouraged to provide feedback at https://github.com/PennTURBO/EhrGraphCollab/issues. The following abstract comes from a paper, describing the semantic instantiation process, and presented to the ICBO 2019 conference (https://drive.google.com/file/d/1eYXTBl75Wx3XPMmCIOZba-8Cv0DIhlRq/view).</p> <p>ABSTRACT: There is ample literature on the semantic modeling of biomedical data in general, but less has been published on realism-based, semantic instantiation of electronic health records (EHR). Reasons include difficult design decisions and issues of data governance. A collaborative approach can address design and technology utilization issues, but is especially constrained by limited access to the data at hand: protected health information.</p> <p>Effective collaboration can be facilitated by public EHR-like data sets, which would ideally include a large variety of datatypes mirroring actual EHRs and enough records to drive a performance assessment. An investment into reading public EHR-like data from a popular common data model (CDM) is preferable over reading each public data set’s native format.</p> <p>In addition to identifying suitable public EHR-like data sets and CDMs, this paper addresses instantiation via relational-to-RDF mapping. The completed instantiation is available for download, and a competency question demonstrates fidelity across all discussed formats.</p>
Healthcare articles labeled "Professional" and "Non-Professional"
<p>The dataset collected for the research:</p> <p><a href="https://doi.org/10.1109/jcsse61278.2024.10613689" target="_blank" rel="noopener">Professional-level Classification for Healthcare Articles</a></p> <p>URL: https://doi.org/10.1109/jcsse61278.2024.10613689</p> <p> </p> <p>For more details about the experiment, please refer to the paper.</p> <p>The source code for verifying the experiment results is also included.</p> <p> </p>
Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
<p>This data set contains HSOPSC on the <span>Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study</span></p>
Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
<p><span>This dataset contains raw data on "regression analyses" on the assessment of patient safety culture among healthcare professionals in public hospitals of Bahir Dar City, Northwest Ethiopia."</span></p>
Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
<p><span>This dataset contains raw data of " </span><span>Likert Scale Descriptive Analysis"on t</span><span>he assessment of patient safety culture among healthcare professionals in public hospitals of Bahir Dar City, Northwest Ethiopia.</span></p>
EXPLORING THE CAPABILITIES AND LIMITATIONS OF DEEP LEARNING IN HEALTHCARE SECTORS IN INDIA: A REVIEW OF CURRENT TRENDS, page 1-10
<p> </p> <p><strong>Learnet Publishing ( Publisher) </strong></p> <p>Conference Volume : ARTIFICIAL INTELLIGENCE (AI) – APPLICATIONS & MISAPPLICATIONS 2024" (ISBN No.: 978-81-957591-7-0) </p> <p>Paper title : <em><strong>EXPLORING THE CAPABILITIES AND LIMITATIONS OF DEEP LEARNING IN HEALTHCARE SECTORS IN INDIA: A REVIEW OF CURRENT TRENDS</strong></em></p> <p><strong>Authors </strong><br>Suvendu Narayan Roy<br>Director, Knowgen Education Services Private Limited<br>Researcher, Faculty of Finance & Management<br>Orcid id : https://orcid.org/0000-0002-2801-0740<br>Soham Roy<br>Researcher & Partner, E & O Learnet and Learnet Manpower Solutions<br>Orcid id : https://orcid.org/0000-0002-3127-608</p>
Appendix to 'Digital Marketing in Indian Pharmaceuticals: Strategies for Prescription Products Targeting Healthcare Professionals
<p>This appendix supplements the scoping review on digital marketing strategies in the Indian pharmaceutical industry from 2014 to 2024. It includes additional data, case studies, reference tables, and detailed analyses that support the main paper, providing further insights into the adoption and effectiveness of digital tools among healthcare professionals. The appendix also incorporates supplementary materials that expand on the use of AI, social media, omnichannel marketing, and key theoretical frameworks, such as the Unified Theory of Acceptance and Use of Technology (UTAUT) and Customer Journey Mapping (CJM), used in the main study.</p>
How do children and adolescents experience healthcare professionals? Scoping review and interpretive synthesis
<p class="MsoPlainText"><strong>Objective</strong></p> <p class="MsoPlainText">Explore children's and adolescents' (CADs') lived experiences of healthcare professionals (HCPs).</p> <p class="MsoPlainText"><strong>Eligibility criteria</strong></p> <p class="MsoPlainText">Research articles containing direct first-person quotations by CADs (aged 0-18 years inclusive) describing how they experienced HCPs.</p> <p class="MsoPlainText">Scoping review methodology provided a six-step framework to, first, identify and organise existing evidence. Interpretive phenomenology provided methodological principles for, second, an interpretive synthesis of the life-worlds of CADs receiving healthcare, as represented by verbatim accounts of their experiences. Five key databases (Ovid MEDLINE, Embase, Scopus, CINAHL Plus, and Web of Science), from inception through to January 2019, reference lists, and opportunistically identified publications. Tabulation of study characteristics, contextual information, and verbatim extraction of all 'relevant' (as defined above) direct quotations. Analysis of basic scope of the evidence-base. The research team worked reflexively and collaboratively to interpret the qualitative data and construct a synthesis of children's experiences. To consolidate and elaborate the interpretation, we held two focus groups with CAD inpatients in a children's hospital. 669 quotations from 99 studies described CADs' experiences of HCPs. Favourable experiences were of forming trusting relationships and being involved in healthcare discussions and decisions; less favourable experiences were of not relating to or being unable to trust HCPs and/or being excluded from conversations about them. HCPs fostered trusting relationships by being personable, wise, sincere, and relatable. HCPs made CADs feel involved by including them in conversations, explaining medical information, and listening to CADs' wider needs and preferences.These findings strengthen the case for making CADs partners in healthcare despite their youth. We propose that a criterion for high-quality child-centred healthcare should be that HCPs communicate in ways that engender trust and involvement.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.