Effective and feasible interventions to improve structured EHR data ...

Effective and feasible interventions to improve structured EHR data registration and exchange: A concept mapping approach and exploration of practical examples ...

Our study aimed to specify the most effective and feasible interventions that enable better structured and standardized EHR data registration.

(PDF) Effective and feasible interventions to improve structured EHR ...

Research described some examples of interventions to increase and improve structured and standardized data, such as guidelines and policies, ...

Effective and Feasible Interventions to Improve Structured EHR Data ...

Previous research suggests that in order to improve organized and standardized EHR data, stronger standards, training, and EHR usability are ...

Effective and feasible interventions to improve structured EHR data ...

Effective and feasible interventions to improve structured EHR data registration and exchange: A concept mapping approach and exploration of practical ...

Naeem Ikram on LinkedIn: Effective and Feasible Interventions to ...

Data in Electronic Health Records (EHRs) is often poorly structured and standardized, which hampers data reuse. The research described some examples of ...

Integrating Structured and Unstructured EHR Data for Predicting ...

The results showed that combining structured and unstructured data improved the accuracy of the prediction of clinical outcomes in ICU patients over time. The ...

The implementation of a multidisciplinary, electronic health record ...

Our results have shown that it is possible to achieve structured data capture while simultaneously reducing the EHR burden, which is a decisive factor in end- ...

Next-generation study databases require FAIR, EHR-integrated, and ...

Ideally, EHR data should be well-structured, of high quality, and suitable for clinical research. If that is the case, electronic data capture ...

Improving the Use of Electronic Medical Records in Primary Health ...

Individuals in primary health care settings aiming to improve EMR use would benefit from implementing interventions focused on EMR feature add-ons, ...

Electronic health record data quality assessment and tools

Guidelines are needed for EHR data quality assessment to improve the efficiency, transparency, comparability, and interoperability of data ...

Taming the EHR Playbook: Implement Effective System-Level ...

This playbook shows learners how to develop a comprehensive plan that minimizes redundant tasks, streamlines workflow, and enhances EHR ...

Challenges and opportunities beyond structured data in analysis of ...

Access to clinical data such as electronic patient records is very restricted due to the high sensitivity of data accumulated in EHR systems.

Evaluation of interventions to improve inpatient hospital ...

... Provider engagement (documenting, reviewing and updating information) with EHR health determinants data is associated with reduced hospital readmission ...

Leveraging electronic health records for data science - The Lancet

Summary. Analysis of electronic health records (EHRs) is an increasingly common approach for studying real-world patient data. Use of routinely ...

Full article: Educational interventions to improve the meaningful use ...

Background: Electronic health records (EHRs) are increasingly available and this was expected to reduce healthcare costs and medical errors.

The Feasibility of Using Electronic Health Data for Research ... - ASPE

Centralizing data in a warehouse may increase efficiency when standardizing and querying the EHR data, but it requires resources to build and ...

Realizing the potential of social determinants data in EHR systems

Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical for SDoH- ...

Expanding the Reach of Structured EHR Data with Clinical Notes

Patients with high symptom burden, e.g. nausea, fatigue, or pain, of- ten elect for treatments with supportive intent and forego cu- rative interventions, e.g. ...

Scalable and accurate deep learning with electronic health records

... (EHR) data is anticipated to drive personalized medicine and improve healthcare quality ... structured and semi-structured data. Because of ...