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PubMed Journals Articles About "Single National Electronic Health Record Will Help Improve" RSS

22:59 EDT 25th March 2019 | BioPortfolio

Single National Electronic Health Record Will Help Improve PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Single National Electronic Health Record Will Help Improve articles that have been published worldwide.

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Showing "Single national electronic health record will help improve" PubMed Articles 1–25 of 40,000+

Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection.

Pharmacoepidemiologic studies using electronic health record data could serve an important role in assessing safety and effectiveness of direct-acting antiviral therapy for chronic hepatitis C virus (HCV) infection, but the validity of these data needs to be determined. We evaluated the accuracy of pharmacy fill records in the national Veterans Health Administration (VA) Corporate Data Warehouse (CDW) as compared to facility-level electronic health record.


Analyzing the Performance of a Blockchain-based Personal Health Record Implementation.

The Personal Health Record (PHR) and Electronic Health Record (EHR) play a key role in more efficient access to health records by health professionals and patients. It is hard, however, to obtain a unified view of health data that is distributed across different health providers. In particular, health records are commonly scattered in multiple places and are not integrated.

Automatic Detection of Front-Line Clinician Hospital Shifts: A Novel Use of Electronic Health Record Timestamp Data.

 Excess physician work hours contribute to burnout and medical errors. Self-report of work hours is burdensome and often inaccurate. We aimed to validate a method that automatically determines provider shift duration based on electronic health record (EHR) timestamps across multiple inpatient settings within a single institution.


Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data capable of recognizing infant sepsis at least 4 hours prior to clinical recognition.

Scope and Influence of Electronic Health Record-Integrated Clinical Decision Support in the Emergency Department: A Systematic Review.

As electronic health records evolve, integration of computerized clinical decision support offers the promise of sorting, collecting, and presenting this information to improve patient care. We conducted a systematic review to examine the scope and influence of electronic health record-integrated clinical decision support technologies implemented in the emergency department (ED).

Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, using only the single worst value of laboratory tests and vital signs and largely ignoring information present in free-text notes. Whether capturing more of the available data and applying machine learning and natural language processing (NLP) can improve and automate the predi...

Clinically Excellent Use of the Electronic Health Record: Review.

The transition to the electronic health record (EHR) has brought forth a rapid cultural shift in the world of medicine, presenting both new challenges as well as opportunities for improving health care. As clinicians work to adapt to the changes imposed by the EHR, identification of best practices around the clinically excellent use of the EHR is needed.

Medical Student Use of Electronic and Paper Health Records During Inpatient Clinical Clerkships: Results of a National Longitudinal Study.

An important goal of medical education is to teach students to use an electronic health record (EHR) safely and effectively. The purpose of this study is to examine medical student accounts of EHR use during their core inpatient clinical clerkships using a national sample. Paper health records (PHRs) are similarly examined.

Resource-based view on safety culture's influence on hospital performance: The moderating role of electronic health record implementation.

Patient safety and safety culture have received increasing attention from agencies such as the Agency of Healthcare Research and Quality and the Institute of Medicine. Safety culture refers to the fundamental values, attitudes, and perceptions that provide a unique source of competitive advantage to improve performance. This study contributes to the literature and expands understanding of safety culture and hospital performance outcomes when considering electronic health record (EHR) usage.

Electronic health record as a panopticon: A disciplinary apparatus in nursing practice.

The specific arrangements of power/knowledge that characterize nurse interactions with the electronic health record form a panopticon. As health care moves into the 21st century, sophisticated technologies like the electronic health record shape the terrain of professional possibilities. The longer it is in use, the more it is possible to excavate the inherent disciplinary function of electronic health record. A panopticon is a generalizable, replicable apparatus of power that cultivates discipline when sim...

Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers.

Patient portals are becoming more common, and with them, the ability of patients to access their personal electronic health records (EHRs). EHRs, in particular the free-text EHR notes, often contain medical jargon and terms that are difficult for laypersons to understand. There are many Web-based resources for learning more about particular diseases or conditions, including systems that directly link to lay definitions or educational materials for medical concepts.

Automated E-mail Reminders Linked to Electronic Health Records to Improve Medication Reconciliation on Admission.

Medication reconciliation can reduce medication discrepancies, errors, and patient harm. After a large academic hospital introduced a medication reconciliation software program, there was low compliance with electronic health record documentation of home medication reconciliation. This quality improvement project aimed to improve medication reconciliation on admission in 4 pediatric inpatient units by 50% over 3 months.

Frailty Screening Using the Electronic Health Record within a Medicare Accountable Care Organization.

The accumulation of deficits model for frailty has been used to develop an Electronic Health Record (EHR) frailty index (eFI) that has been incorporated into British guidelines for frailty management. However, there have been limited applications of EHR-based approaches in the United States.

Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage.

 Electronic health record (EHR) systems contain large volumes of novel heterogeneous data that can be linked to trauma registry data to enable innovative research not possible with either data source alone.

Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage.

 Electronic health record (EHR) systems contain large volumes of novel heterogeneous data that can be linked to trauma registry data to enable innovative research not possible with either data source alone.

Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach.

Bleeding events are common and critical and may cause significant morbidity and mortality. High incidences of bleeding events are associated with cardiovascular disease in patients on anticoagulant therapy. Prompt and accurate detection of bleeding events is essential to prevent serious consequences. As bleeding events are often described in clinical notes, automatic detection of bleeding events from electronic health record (EHR) notes may improve drug-safety surveillance and pharmacovigilance.

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an effort to better identify high-risk surgical patients from complex data, a machine learning project trained on Pythia was built to predict postoperative complication risk.

The Effect of a Clinical Decision Support for Pending Laboratory Results at Emergency Department Discharge.

Health care systems often implement changes within the electronic health record (EHR) to improve patient safety and reduce medical errors.

Assessing Brief Intervention for Unhealthy Alcohol Use: A Comparison of Electronic Health Record Documentation and Patient Self-Report.

Alcohol screening and brief intervention (BI) are recommended preventive health practices. Veterans Health Administration (VA) uses a performance measure to incentivize BI delivery. Concerns have been raised about the validity of the BI performance measure, which relies on electronic health record (EHR) documentation. Our objective was to assess concordance between EHR-based documentation and patient-reported receipt of BI, and to examine correlates of concordance.

Development of a Controlled Vocabulary-Based Adverse Drug Reaction Signal Dictionary for Multicenter Electronic Health Record-Based Pharmacovigilance.

Integration of controlled vocabulary-based electronic health record (EHR) observational data is essential for real-time large-scale pharmacovigilance studies.

Data collected by the electronic health record is insufficient for estimating nursing costs: An observational study on acute care inpatient nursing units.

Introduction As the electronic health record becomes more sophisticated, commensurate advances in cost accounting have risen as a top priority for hospital leaders. This study explored: 1) the average time to complete common nursing tasks documented in the electronic health record, 2) nursing-related tasks that remain undocumented, 3) the association between observation data and actual nursing documentation, and 4) considerations for model development and report design to be used for activity based cost acc...

Acute care nurses' perceptions of electronic health record use: A mixed method study.

The overall aim of this study is to examine nurses' perceptions of electronic health record use in an acute care hospital setting.

A Review of Measuring the Cognitive Workload of Electronic Health Records.

The To Err Is Human report stated that 98 000 patients die yearly because of medical errors, and that medication errors kill more people than workplace injuries. The inadequate design and utilization of the electronic health record have been identified as major contributing factors to medical errors. Increased cognitive workload of clinicians has consistently been linked to the occurrence of medical errors. The purpose of this article was to synthesize the current state of the science on measuring clinician...

Errors and causes of communication failures from hospital information systems to electronic health record: A record-review study.

Failure in the communication of information and partial communication of information between hospital information systems (HIS) and the Iranian electronic health record (SEPAS) reduces the quality of information. The objective of this study was to identify the errors and causes of failure in the communication of patients' information from HISs to SEPAS.

SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data.

 Defining clinical conditions from electronic health record (EHR) data underpins population health activities, clinical decision support, and analytics. In an EHR, defining a condition commonly employs a diagnosis value set or "grouper." For constructing value sets, Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) offers high clinical fidelity, a hierarchical ontology, and wide implementation in EHRs as the standard interoperability vocabulary for problems.


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