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115 results for “electronic health records”

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ClinicalTrials.gov24/100

A Clinical Decision Support Tool for Electronic Health Records

ClinicalTrials.gov study NCT02697643. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Antibiotic Prescription Relevance Indicators: Calculation From Electronic Health Records

ClinicalTrials.gov study NCT05420168. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Leveraging Electronic Health Record Tools to Improve the Evidence-Based Treatment of Children Hospitalized With Bronchiolitis

ClinicalTrials.gov study NCT06932341. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Teen-to-Teen Videos to Improve Electronic Medical Record Portal Knowledge and Personal Health Information Engagement

ClinicalTrials.gov study NCT06096987. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Trial Embedded in an Electronic Personal Medical Health Records

ClinicalTrials.gov study NCT00972348. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Electronic Health Record-Enabled Evidence-Based Smoking Cessation Quality Improvement Implementation Program

ClinicalTrials.gov study NCT04107857. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Use of Electronic Personal Health Records to Improve Medication Adherence

ClinicalTrials.gov study NCT03018197. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

A Cohort Study to Compare the Hospitalization Between Naive Sacubitril/Valsartan and Naive ACEi/ARBs Heart Failure Patients With Reduced Ejection Fraction Using Secondary US Electronic Health Records

ClinicalTrials.gov study NCT05096143. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing

ClinicalTrials.gov study NCT06660979. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

A Pragmatic Trial Comparing Empagliflozin and Dapagliflozin Through Cluster Randomization Embedded in the Electronic Health Record

ClinicalTrials.gov study NCT06642272. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Electronic Health Record-Integrated Patient-Generated Data

ClinicalTrials.gov study NCT06668870. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov20/100

Natural History and Patient Journey in Dementia: a Nationwide Linked Electronic Health Records Study of 5.6 Million Individuals.

ClinicalTrials.gov study NCT04321486. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Evaluation of a Regional Electronic Health Information Exchange's Clinical Health Record

ClinicalTrials.gov study NCT00978744. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Advanced Electronic Population Health and Personal Health Record Tools to Improve Once Lifetime Hepatitis C Screening

ClinicalTrials.gov study NCT03654365. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo12/100

Dataset related to article "Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas"

<p>This record contains raw data related to article &ldquo;Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas&rdquo;.</p> <p>&nbsp;</p> <p><strong>Background:&nbsp;</strong>Comorbidities are common in chronic inflammatory conditions, requiring multidisciplinary treatment approach. Understanding the link between a single disease and its comorbidities is important for appropriate treatment and management. We evaluate the ability of an NLP-based process for knowledge discovery to detect information about pathologies, patients&#39; phenotype, doctors&#39; prescriptions and commonalities in electronic medical records, by extracting information from free narrative text written by clinicians during medical visits, resulting in the extraction of valuable information and enriching real world evidence data from a multidisciplinary setting.</p> <p><strong>Methods:&nbsp;</strong>We collected clinical notes from the Allergy Department of Humanitas Research Hospital written in the last 3 years and used it to look for diseases that cluster together as comorbidities associated to the main pathology of our patients, and for the extent of prescription of systemic corticosteroids, thus evaluating the ability of NLP-based tools for knowledge discovery to extract structured information from free text.</p> <p><strong>Results:&nbsp;</strong>We found that the 3 most frequent comorbidities to appear in our clusters were asthma, rhinitis, and urticaria, and that 991 (of 2057) patients suffered from at least one of these comorbidities. The clusters which co-occur particularly often are oral allergy syndrome and urticaria (131 patients), angioedema and urticaria (105 patients), rhinitis and asthma (227 patients). With regards to systemic corticosteroid prescription volume by our clinicians, we found it was lower when compared to the therapy the patients followed before coming to our attention, with the exception of two diseases: Chronic obstructive pulmonary disease and Angioedema.</p> <p><strong>Conclusions:&nbsp;</strong>This analysis seems to be valid and is confirmed by the data from the literature. This means that NLP tools could have significant role in many other research fields of medicine, as it may help identify other important, and possibly previously neglected clusters of patients with comorbidities and commonalities. Another potential benefit of this approach lies in its potential ability to foster a multidisciplinary approach, using the same drugs to treat pathologies normally treated by physicians in different branches of medicine, thus saving resources and improving the pharmacological management of patients.</p>

restrictedNov 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record