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Evaluation of Nursing Documentation Completion of Stroke Patients in the Emergency Department: A Pre-Post Analysis Using Flowsheet Templates and Clinical Decision Support
The primary aim of this performance improvement project was to determine whether the electronic health record implementation of stroke-specific nursing documentation flowsheet templates and clinical decision support alerts improved the nursing documentation of eligible stroke patients in seven stroke-certified emergency departments. Two system enhancements were introduced into the electronic record in an effort to improve nursing documentation: disease-specific documentation flowsheets and clinical decision support alerts. Using a pre-post design, project measures included six stroke management goals as defined by the Nati...
Source: CIN: Computers, Informatics, Nursing - February 1, 2016 Category: Information Technology Tags: Feature Articles Source Type: research

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments
ConclusionIn a large national EHR repository, a symptom –disease pair-based e-trigger identified missed diagnoses of stroke with a modest positive predictive value, underscoring the need for chart review validation procedures to identify diagnostic errors in large data sets.
Source: Journal of the American Medical Informatics Association - July 19, 2021 Category: Information Technology Source Type: research

Retrospective checking of compliance with practice guidelines for acute stroke care: a novel experiment using openEHR's Guideline Definition Language
Conclusions: Shareable guideline knowledge for use in automated retrospective checking of guideline compliance may be achievable using GDL. Whether the same GDL rules can be used for at-the-point-of-care CDS remains unknown.
Source: BMC Medical Informatics and Decision Making - Latest articles - May 10, 2014 Category: Information Technology Authors: Nadim AnaniRong ChenTiago Prazeres MoreiraSabine Koch Source Type: research

Towards stroke prediction using electronic health records
As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis o...
Source: BMC Medical Informatics and Decision Making - December 4, 2018 Category: Information Technology Authors: Douglas Teoh Tags: Technical advance Source Type: research

Assessing stroke severity using electronic health record data: a machine learning approach
Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text i...
Source: BMC Medical Informatics and Decision Making - January 8, 2020 Category: Information Technology Authors: Emily Kogan, Kathryn Twyman, Jesse Heap, Dejan Milentijevic, Jennifer H. Lin and Mark Alberts Tags: Research article Source Type: research

Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention
Discussion: We developed and tested a set of algorithms to identify AF patients and known risk factors for stroke and major bleeding using EHR data. Algorithms such as these can be built into EHR systems to facilitate informed decision making and help shift population health management efforts towards patients with the greatest need.
Source: Journal of the American Medical Informatics Association - July 2, 2016 Category: Information Technology Authors: Wang, S. V., Rogers, J. R., Jin, Y., Bates, D. W., Fischer, M. A. Tags: Research and Applications Source Type: research

10 Most read 2013 articles week 14 April 2013
Patient access to complex chronic disease records on the Internet Electronic health records improve care, but don’t save money Dr. David Blumenthal: Electronic Health Records Need to be Easier for Physicians to Use Mobile Software and User Privacy Eye-Tracking Tool Might Quickly Spot Stroke Centre plans massive IT mission for healthcare sector with focus on telemedicine, e-classrooms & e-health EHR and [...]
Source: ICMCC: The International Council on Medical and Care Compunetics - April 22, 2013 Category: Information Technology Authors: Lodewijk Tags: News Overview Source Type: news

Bringing the promise of digital health to fruition
The digital health imperative is upon us. With advancements in technology, the opportunities are bound only by our imagination. Recent investments in digital health are telling signs of the disruptive forces at play and the future that is just waiting to happen. With the advent of arrays of sensors that track a myriad biomarkers ranging from activity, nutrition, heart rate, cholesterol level, glucose levels, sleep to those that can even detect stroke, consumer technologies have ushered in a new era of health management.  Interoperability Bringing the promise of digit...
Source: Healthcare IT News - March 31, 2015 Category: Information Technology Authors: Aashima Gupta Tags: Electronic Health Records Interoperability Source Type: news

The Geographic Distribution of Cardiovascular Health in the Stroke Prevention in Healthcare Delivery Environments (SPHERE) Study
Conclusions This work paves the way for future integration of community and EHR-based data into patient care as a novel methodology to gain insight into multi-level factors that affect CVH and other health outcomes. Further, our findings demonstrate the specific architectural and functional challenges associated with integrating decision support technologies and geographic information to support tailored and patient-centered decision making therein. Graphical abstract
Source: Journal of Biomedical Informatics - January 30, 2016 Category: Information Technology Source Type: research

Unstructured clinical documentation reflecting cognitive and behavioral dysfunction: toward an EHR-based phenotype for cognitive impairment
This study examined unstructured data on symptoms of CI in the acute-care EHRs of hip and stroke fracture patients with dementia from two hospitals. Clinician reviewers identified and classified unstructured EHR data using standardize d criteria. Relevant narrative text was descriptively characterized and evaluated for key terminology. Most patient EHRs (90%) had narrative text reflecting cognitive and/or behavioral dysfunction common in CI that were reliably classified (κ 0.82). The majority of statements reflected vague descri ptions of cognitive/behavioral dysfunction as opposed to diagnostic terminology. Findings from...
Source: Journal of the American Medical Informatics Association - June 27, 2018 Category: Information Technology Source Type: research

Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.
CONCLUSION: The developed models outperformed previously published models predicting dysphagia. In future, an implementation in the clinical workflow is needed to determine the clinical benefit. PMID: 32578538 [PubMed - in process]
Source: Studies in Health Technology and Informatics - June 26, 2020 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research