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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,076 datasets
2006/2007 to 2013/2014 age-standardized inpatient separation rates per 100,000 population for seven selected conditions across 132 Local Geographic Areas in Alberta. This dataset supports comparisons of hospital service utilization across different geographic areas and time periods. It was published by Alberta Health in March 2015 as part of the Primary Health Care - Community Profiles report.
2010 data provides age-standardized inpatient separation rates per 100,000 population for selected conditions across Alberta's 132 Local Geographic Areas. The dataset covers seven conditions, including Asthma, Diabetes, and Ischemic Heart Diseases, enabling comparisons across regions with different age structures. It was published by Alberta Health in February 2013 as part of the Primary Health Care - Community Profiles report.
A 2017-18 qualitative study collected audio recordings and transcripts from interviews and focus group discussions with non-physician clinicians, remote physicians, and health system stakeholders in Turkana County, Kenya. The data explores the impact of an asynchronous teleconsultation service that supported over 100 consultations across 22 facilities. The study was conducted by Pratap Kumar and harvested by QDR.
A meta-analysis of 15 randomized controlled trials evaluates the efficacy and safety of dexmedetomidine (DEX) compared to other sedatives in 3,882 mechanically ventilated patients with sepsis and septic shock. The analysis found DEX significantly reduced the duration of mechanical ventilation but increased the risk of bradycardia, with no significant differences observed in mortality, SOFA scores, ICU length of stay, or hypotension incidence. The dataset likely contains aggregated statistical results from the systematic review, including risk ratios, mean differences, confidence intervals, and heterogeneity metrics.
New Orleans, Louisiana, hosts nine deidentified interview transcripts from a qualitative study on HIV care retention during extreme weather events. Interviews were conducted with key informants, including health department leadership and clinic staff, between September 2021 and February 2022, following Hurricane Ida. The project was funded by the Health Resources and Services Administration and led by author Emily Arnold.
U.S. interviews with healthy volunteers in Phase I pharmaceutical trials, focusing on their perceptions of risk. The data consist of coded excerpts from baseline interviews conducted by the HealthyVOICES Project, organized by participant ID. The dataset supplements published articles on risk and emotion in clinical trials.
Tristan McIntosh's project data from 2026 involves stakeholder engagement to address ethical challenges in neurotechnology academia-industry partnerships. The dataset likely contains survey responses from seven distinct stakeholder groups, including patients, neuroethicists, and industry representatives. Data collection procedures included screening and demographic surveys.
120 cognitive interview records from a study in Blantyre, Malawi, focusing on the feasibility of self-sampling and self-testing for SARS-CoV-2. The data likely captures participant interactions with instructional materials for two rapid diagnostic test kits. The study was conducted by Moses Kelly Kumwenda and harvested by QDR.
A qualitative study conducted between July 2015 and March 2016 interviewed physicians about their decision-making for anticoagulant therapy when discharging patients to hospice care. Jon Furuno led the research, which screened 80 discharges and conducted interviews with 8 physicians. The study purposefully sampled physicians who continued, discontinued, or de-escalated antithrombotic therapy.
Ohio-based qualitative interviews with 11 career firefighters and EMS providers of different ranks, conducted in 2022. The data consists of transcripts from semi-structured interviews exploring the lived experiences and perceptions of first responders regarding mindfulness training and stress reduction apps. The analysis was guided by the Consolidated Framework for Implementation Research (CFIR).
Qualitative interview data from patients and providers collected to inform a behavioral intervention study. The project aimed to develop a WOOP self-regulation strategy to reduce readmission risk in young women (<55 years) within one year after AMI discharge. The data was harvested by QDR and authored by Rachel P. Dreyer.
A 25-document public sample from the RCA Medical Library. The dataset contains fully synthetic Australian medical documents across 18 document types, with ground truth and bounding boxes. It was created by RootCauseAnalytics and last updated on May 15, 2026.
Grants data from the Ministry of Labour, Training and Skills Development details funding for occupational health and safety research programs. It includes project abstracts, approved funding totals, receiving organizations, and investigator contacts for initiatives like Bridging the Gap and the Research Opportunities Program.
A user study with 40 participants evaluated emotion recognition across human faces, virtual avatars, and humanoid robots. The dataset includes recognition rates for emotions like surprise and fear, assessed via an eight-item questionnaire on a 7-point Likert scale. It was created by Patricia Schwarz to support research on cross-domain facial expression mapping for patient simulation.
Beginning in 2009, this dataset provides a summary of inpatient discharge records from Article 28 hospitals in New York State, collected via the Statewide Planning and Research Cooperative System (SPARCS). It includes patient characteristics, diagnoses, treatments, and charges, aggregated by facility. The data is published by health.data.ny.gov and was last updated in March 2026.
ClinicalTrials.gov provides the source for 3,000 clinical trials registered between 2000 and 2025 that involve artificial intelligence, machine learning, or digital-health software. The dataset, created by moncefem, includes 30 LLM-extracted analytical variables such as use-type, disease area, and evidence-strength scores. It was last updated on 2026-05-17.
A retrospective study of 383 patients with infective endocarditis developed a nomogram to predict 1-year mortality. The model, created by Zhaojun Yu, identified five independent prognostic factors and achieved a C-index of 0.879 in the training cohort.
A clinical study dataset of 383 patients with infective endocarditis was used to develop a nomogram predicting 1-year mortality. The model, created by Zhaojun Yu, identified five independent prognostic factors and achieved an AUC of 0.965 in the training cohort.
A 2026 study by Zhaojun Yu developed a nomogram for predicting 1-year mortality in 383 patients with infective endocarditis, using a 7:3 training-validation split. The model identified five independent prognostic factors and achieved a C-index of 0.879 in training and an AUC of 0.939 in validation.
A clinical study analyzed serial serum calcium measurements in 302 spontaneous subarachnoid hemorrhage patients monitored for 90 days. The research developed and validated a nomogram for predicting delayed hydrocephalus, which occurred in 24.2% of the cohort. The model incorporated admission serum calcium, hypertension, Hunt-Hess grade, smoking history, dyslipidemia, alcohol use, and diabetes.