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115
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Dataset results
115 results for “electronic health records”
Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert
ClinicalTrials.gov study NCT02376842. IPD Sharing: Not stated. Countries: 1. Publications: 3.
FluAlert: Influenza Vaccine Alerts for Providers in the Electronic Health Record
ClinicalTrials.gov study NCT01146899. IPD Sharing: Not stated. Countries: 1. Publications: 1.
An Observational Pilot Study to Develop a Behavioral Economics Electronic Health Record Module to Guide the Care of Older Adults With Diabetes
ClinicalTrials.gov study NCT03409523. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Integrating Patient Generated Family Health History From Varied Electronic Health Record (EHR) Entry Portals
ClinicalTrials.gov study NCT00977847. IPD Sharing: Not stated. Countries: 1. Publications: 20.
An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury
ClinicalTrials.gov study NCT03590028. IPD Sharing: NO. Countries: 1. Publications: 1.
Liver Cirrhosis Diagnosis Prioritizing Algorithm Based on Electronic Health Records.
ClinicalTrials.gov study NCT05218538. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Electronic Health Records for Health Promotion
ClinicalTrials.gov study NCT00142077. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Care for Cancer Patients
ClinicalTrials.gov study NCT02645357. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Leveraging Electronic Health Record Data in a Risk Prediction Model to Increase HIV PrEP Intake in Primary Care
ClinicalTrials.gov study NCT05991869. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of a Dashboard for Diabetes Care Integrated With the Electronic Health Record
ClinicalTrials.gov study NCT03826290. IPD Sharing: NO. Countries: 1. Publications: 3.
Development and Testing of an Electronic Behavioral Health Record Specific to the Wraparound Care Coordination Process
ClinicalTrials.gov study NCT02421874. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
A Universal Electronic Health Record-based IMPROVE DD VTE Risk Assessment Model for the Prevention of Thromboembolism in Hospitalized Medically Ill Patients
ClinicalTrials.gov study NCT04768036. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Phased-Implementation Feasibility and Proof-of-Concept Study to Assess Incorporating the NIDA CTN Common Data Elements (CDEs) Into the Electronic Health Record (EHR) in Large Primary Care Settings (
ClinicalTrials.gov study NCT02963948. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Requirements and access needs of patients with chronic disease to their hospital electronic health record: results of a cross-sectional questionnaire survey
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Data from: Identifying patterns of non-communicable diseases in developed eastern coastal China: a longitudinal study of electronic health records from 12 public hospitals
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Data from: Physician champions’ perspectives and practices on electronic health records implementation: challenges and strategies
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Assessing the Immunization Information System and Electronic Health Record interface accuracy for COVID-19 vaccinations
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Using a custom mobile application for change management in an electronic health record implementation
<p><b><i>Objectives </i></b></p> <p>Institutions cite managing the modification in infrastructure, technical support, and process change as substantial barriers to a successful electronic health record (EHR) implementation. In an effort to organize and centralize the complex scheduling, task completion and communication needs of a "big-bang" EHR go-live, we developed a unified communication system with the goal of improving implementation process efficiency. Our goal was to create a platform that would work across the medical enterprise.</p> <p><b><i>Materials and Methods</i></b></p> <p>We employed an agile process to design the application, called Hubbl, based on initial requirements and iteratively obtained stakeholder user. The final feature set included role specific organization, integrated communication, task and content management tooling, and embedded project information retrieval, all embedded into the end user's day to day activities.</p> <p><b><i>Results </i></b></p> <p>User enrollment continually increased from launch in February of 2017 through go-live day. During the pre-go-live period, usage increased from an average of 7.37 events/user/day to 18.65 events/user/day with over 97 communications sent across all periods. 5,400 unique users accessed tip sheets and information retrieval tools averaged 28.84 searches/user/day during the go-live period with an average high of 46.33 searches/user/day five days post go-live. User access during go-live and post-go-live averaged 12.82 accesses/user/day and decreased from 20.42 average accesses on day one of go live to 14.07 averaged accesses on day 60 of post go live with over 727 tasks monitored to completion during all periods.</p> <p><b><i>Conclusion</i></b></p> <p>Hubbl was an essential component of our communication, task coordination, and change management strategy, for our EHR go live. Institutions that choose a unified mobile and web based platform during a substantial IT (information technology) implementation can feasibly ensure task completion, project coordination, and timely information dissemination.</p>
Data from: Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
Objective To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. Methods To calculate an opioid prescription's maximum potential Sig-MEDD, we developed SQL code to determine a prescription's maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3,000 Sigs, then compared the Sig-MEDD calculation against the Epic MEDD calculator. Results Of the 101,782 outpatient opioid prescriptions ordered over one year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Conclusion Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient's risk for opioid exposure.
Data for "Checklist and guidance on creating codelists for electronic health records research"
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.