Leveraging Electronic Health Records to Construct a Phenotype for ...

Electronic health records (EHRs) may augment chronic disease surveillance. We aimed to develop an electronic phenotype (e-phenotype) for hypertension ...

Conclusions: Using an EHR dataset of 11 million adults, we constructed a hypertension e-phenotype using three criteria, which can be used for surveillance of ...

Leveraging Electronic Health Records for Phenotyping - SpringerLink

Other research activities, such as comparative effectiveness research and creating a learning healthcare system, also benefit from analysis using EHR data.

Using Electronic Health Records to Generate Phenotypes for ...

Both EHR format and content are driven, in part, by the fundamentals of the practice of medicine as well as medical record documentation ...

Leveraging electronic health records for phenotyping

Genome-wide association studies use many more genotype-phenotype pairs to identify associations. The cost of genotyping data has dropped to the ...

Development of a Hypertension Electronic Phenotype for Chronic ...

This report addresses a gap in the literature by providing results and analytic interpretations related to different decision points in the EHR-based ...

A Case Study of Patients With Markedly Elevated Blood Pressure

With the goal of creating health systems in which patient care and evidence inform each other, EHR data from large health systems may be ...

Leveraging electronic health records and knowledge networks for ...

For both phenotypes, the UC-wide EHR database supports a potential increased AD diagnosis risk due to evidence of decreased time to AD and ...

Electronic Health Records–Based Phenotyping - NIH Collaboratory

In the context of electronic health records (EHRs), a "computable phenotype," or simply "phenotype," is a clinical condition or characteristic that can be ...

Extracting research-quality phenotypes from electronic health ...

Institutions and healthcare systems have been building EHR-linked DNA biobanks to enable such a vision. However, the precise extraction of ...

Enhancing association studies for risk factors in EHR data

However, EHR-based association studies often focus on a single phenotype. In this paper, we develop a method aiming to simultaneously make use ...

Electronic health records-driven phenotyping: challenges, recent ...

Electronic health records (EHRs) can accelerate clinical research and genomic medicine, but are hindered by the limited number of validated ...

Leveraging the electronic health record to implement genomic ...

Investigators in the Electronic Medical Records and Genomics (eMERGE) Network have demonstrated that phenotypes of interest can be mined for ...

Electronic Health Records–Based Phenotyping - NIH Collaboratory

As shown in the figure below, EHR-based computable phenotypes make use of the data constructs and coding systems that are available to providers when they ...

The Role of Electronic Health Records in Advancing Genomic ...

The development of PheWASs has inspired more recent work to leverage EHRs to identify ge- netic syndromes that have a complex phenotypic ...

Machine Learning Approaches for Electronic Health Records ...

Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health records (EHRs) for biomedical research.

Leveraging Electronic Health Records to Construct a Phenotype for ...

Abstract BACKGROUND Hypertension is an important risk factor for cardiovascular diseases. Electronic health records (EHRs) may augment chronic disease ...

Leveraging electronic health record data for clinical trial planning by ...

To present an approach on using electronic health record (EHR) data that assesses how different eligibility criteria, either individually or in combination, ...

Research Platform Optimizes Use Of Electronic Health Data - VA.gov

EHR-based phenotypes are used in research, quality improvement initiatives, and clinical care for patients. However, creating phenotypes can be ...

Leveraging electronic health record data for endometriosis research

The UKBiobank, All of Us, Geisinger Mycode, BioVU, BioMe, and Penn Medicine Biobanks are examples of EHR-linked biobanks that have consented and recruited over ...