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Assessing Electronic Health Record (EHR) Use during a Major EHR Transition: An Innovative Mixed Methods Approach
BackgroundElectronic health record (EHR) transitions are inherently disruptive to healthcare workers who must rapidly learn a new EHR and adapt to...
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EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records
Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive data such...
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Deployment and validation of the CLL treatment infection model adjoined to an EHR system
Research algorithms are seldom externally validated or integrated into clinical practice, leaving unknown challenges in deployment. In such efforts,...
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Basic electronic health record (EHR) adoption in **Türkiye is nearly complete but challenges persist
BackgroundThe digitalization studies in public hospitals in Türkiye started with the Health Transformation Program in 2003. As digitalization was...
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“Everything’s so Role-Specific”: VA Employee Perspectives’ on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities
BackgroundElectronic health record (EHR) transitions are increasingly widespread and often highly disruptive. It is imperative we learn from past...
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Assessment of EHR Efficiency Tools and Resources Associated with Physician Time Spent on the Inbox
BackgroundPhysicians are experiencing an increasing burden of messaging within the electronic health record (EHR) inbox. Studies have called for the...
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Patient Portal Message Volume and Time Spent on the EHR: an Observational Study of Primary Care Clinicians
BackgroundAs patient-initiated messaging rises, identifying variation in message volume and its relationship to clinician workload is essential.
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From “Local Control” to “Dependency”: Transitions to Single-Vendor Integrated Electronic Health Record Systems and Their Implications for the EHR Workforce
BackgroundHealthcare systems that previously used either a single legacy electronic health record (EHR) system or a “best-of-breed” combination of...
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Quantifying EHR and Policy Factors Associated with the Gender Productivity Gap in Ambulatory, General Internal Medicine
BackgroundThe gender gap in physician compensation has persisted for decades. Little is known about how differences in use of the electronic health...
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Neural-signature methods for structured EHR prediction
Models that can effectively represent structured Electronic Healthcare Records (EHR) are central to an increasing range of applications in...
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Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
BackgroundDespite great promise, trials that ascertain patient clinical data from electronic health records (EHR), referred to here as “EHR-sourced”...
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Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study
BackgroundThe burden of clinical documentation in electronic health records (EHRs) has been associated with physician burnout. Numerous tools (e.g.,...
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Towards proactive palliative care in oncology: develo** an explainable EHR-based machine learning model for mortality risk prediction
BackgroundEx-ante identification of the last year in life facilitates a proactive palliative approach. Machine learning models trained on electronic...
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Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision support
Structured patient data play a key role in all types of clinical research. They are often collected in study databases for research purposes. In...
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Using phenotypic data from the Electronic Health Record (EHR) to predict discharge
BackgroundTimely discharge to post-acute care (PAC) settings, such as skilled nursing facilities, requires early identification of eligible patients....
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Temporal Associations Between EHR-Derived Workload, Burnout, and Errors: a Prospective Cohort Study
BackgroundThe temporal progression and workload-related causal contributors to physician burnout are not well-understood.
ObjectiveTo characterize...
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Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients
BackgroundTwo years into the COVID-19 pandemic and with more than five million deaths worldwide, the healthcare establishment continues to struggle...
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Predictive structured–unstructured interactions in EHR models: A case study of suicide prediction
Clinical risk prediction models powered by electronic health records (EHRs) are becoming increasingly widespread in clinical practice. With...
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Electronic health record (EHR)-based PROMIS measures among neurology clinic decedents and survivors: a retrospective cohort analysis
BackgroundIn addition to their standard use to assess real-time symptom burden, patient-reported outcomes (PROs), such as the Patient-Reported...