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Dataset results
71 results for “healthcare system”
An Attribute-Based Access Control model in RFID systems based on blockchain Decentralized Applications for healthcare environments (video demonstration)
<p>An Attribute-Based Access Control model in RFID systems based on blockchain Decentralized Applications for healthcare environments.</p>
In-hospital patient safety events, healthcare costs and utilization: an analysis of data from the incident reporting system in an academic medical center
<p>Raw Datasets for the study 'In-hospital patient safety events, healthcare costs and utilization: an analysis of data from the incident reporting system in an academic medical center'.</p>
Perceptions and Knowledge regarding the application of Artificial Intelligence (AI) technologies in healthcare system; A cross-sectional Study involving Medical Students.
<p>This is the data set of a cross-sectional study that was carried out on medical students at Rawalpindi medical university, Pakistan involving 211 participants.</p>
Study to Identify Factors Influencing Access of Pregnant Women and Their Infants to Local Healthcare Systems
ClinicalTrials.gov study NCT01734434. IPD Sharing: Not stated. Countries: 4. Publications: 2.
Epilepsy Learning Healthcare System (ELHS)
ClinicalTrials.gov study NCT06265103. IPD Sharing: YES. Countries: 1. Publications: 16.
A Trial to Explore Acceptance and Performance of Using a Digital Medicine System With Healthcare Professionals and Adults With Schizophrenia, Schizoaffective Disorder, or First Episode Psychosis on an
ClinicalTrials.gov study NCT03568500. IPD Sharing: YES. Countries: 1. Publications: 2.
Improving Colonoscopy Quality for Colorectal Cancer Screening in the National VA Healthcare System
ClinicalTrials.gov study NCT04389957. IPD Sharing: NO. Countries: 1. Publications: 10.
Medical data formatting to improve physician interpretation speed in the military healthcare system
<p><strong>Objective</strong>: The purpose of this project was to improve the ease and speed of physician comprehension when interpreting daily laboratory data for patients admitted within the Military Healthcare System (MHS).</p> <p><strong>Materials and Methods</strong>: A JavaScript program was created to convert the laboratory data obtained via the outpatient electronic medical record (EMR) into a "fishbone diagram" format that is familiar to most physicians. Using a balanced crossover design, 35 internal medicine trainees and staff were asked to complete timed comprehension tests for laboratory data sets formatted in the outpatient EMR's format and in fishbone diagram format. The number of responses per second and error rate per response were measured for each format. Participants were asked to rate relative ease of use for each format and indicate which format they preferred.</p> <p><strong>Results</strong>: Comprehension speed increased 37% (6.28 seconds per interpretation) with the fishbone diagram format with no observed increase in errors. Using a Likert scale of 1 to 5 (1 being hard, 5 easy), participants indicated the new format was easier to use (4.14 for fishbone vs 2.14 for table) with 89% expressing a preference for the new format. </p> <p><strong>Discussion</strong>: The publically available web application that converts tabular lab data to fishbone diagram format is currently used 10,000-12,000 times per month across the MHS, delivering significant benefit to the enterprise in terms of time saved and improved physician experience.</p> <p><strong>Conclusions</strong>: This study supports the use of fishbone diagram formatting for laboratory data for inpatients within the MHS.</p>
Data from: Opportunities to catalyze improved healthcare access in pluralistic systems: a cross-sectional study in Haiti
<p><b>Introduction. </b>Gains to ensure global healthcare access are at risk of stalling because some old resilient challenges require new solutions. Our objective was to identify determinants of intended versus actual care-seeking behaviors in a pluralistic healthcare system that is reliant on both conventional and non-conventional providers and discover opportunities to catalyze improved healthcare access.</p> <p><b>Methods.</b> A cross-sectional study was conducted among households with children less than 5 years of age in Haiti. Households were randomly sampled geographically with stratifications for population density. Household questionnaires with standardized cases (intentions) were compared to self-recall of health events (behaviors). The connectedness of households and their providers was determined by network analysis.</p> <p><b>Results.</b> A total of 568 households (incorporating 2900 members) and 65 providers were enrolled. Households reported 636 health events in the prior month. Households sought care for 35% (n=220) and treated with home remedies for 44% (n=277). The odds of seeking care increased 217% for severe events (aOR=3.17; 95%CI 1.99-5.05; p< 0.001). The odds of seeking care from a conventional provider increased by 37% with increasing distance (aOR=1.37; 95%CI 1.06-1.79; p=0.016). Despite stating an intention to seek care from conventional providers, there was a lack of congruence in practice that favored non-conventional providers (McNemar's Chi-squared Test p<0.001). Care was sought from primary providers for 68% (n=150) of cases within a three-tiered network; 25% (n=38/150) were non-conventional.</p> <p><b>Conclusion.</b> Addressing geographic barriers, possibly with technology solutions, should be prioritized to meet healthcare seeking intentions while developing approaches to connect non-conventional providers into healthcare networks when geographic barriers cannot be overcome.</p>
OnTrackNY's Learning Healthcare System
ClinicalTrials.gov study NCT04021719. IPD Sharing: NO. Countries: 1. Publications: 2.
Reorganization of the Healthcare System During COVID-19 Pandemic: Impact on Management of Patients With Exocrine Pancreatic Cancer
ClinicalTrials.gov study NCT04406571. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Stroke Prevention and Treatment System in Shanghai: a Network of Public Healthcare of Stroke
ClinicalTrials.gov study NCT02735226. IPD Sharing: YES. Countries: 1. Publications: 3.
Rehabilitation Exercise Using Digital Healthcare System in Patients With Total Knee Arthroplasty
ClinicalTrials.gov study NCT04513353. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Validation of Sleep Healthcare System
ClinicalTrials.gov study NCT04252482. IPD Sharing: NO. Countries: 1. Publications: 2.
Establishing a Physical Activity Referral Scheme for People With Noncommunicable Diseases in the German Healthcare System
ClinicalTrials.gov study NCT04947787. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Rehabilitation Exercise Using Digital Healthcare System in Patients With Rotator Cuff Repair
ClinicalTrials.gov study NCT04511377. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
LázBarát™ (FeverFriend™) Projekt: Attitude Toward Fever and Its Change in the Healthcare System
ClinicalTrials.gov study NCT04633603. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Warfarin Patient Self-management Implementation in the US Healthcare System
ClinicalTrials.gov study NCT04766216. IPD Sharing: NO. Countries: 1. Publications: 0.
Davos Alzheimer's Collaborative Healthcare System Preparedness to Increase Cognitive Assessment Rates for Older Adults
ClinicalTrials.gov study NCT06191952. IPD Sharing: Not stated. Countries: 1. Publications: 0.
WeMen! Improving Women's Access to Healthcare System Through Men's Inclusion
ClinicalTrials.gov study NCT04356157. IPD Sharing: NO. Countries: 1. Publications: 6.
ScienceDex guides
Understand access before you commit
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.