Cargando…

Facilitating Stroke Management using Modern Information Technology

BACKGROUND AND PURPOSE: Information technology and mobile devices may be beneficial and useful in many aspects of stroke management, including recognition of stroke, transport and triage of patients, emergent stroke evaluation at the hospital, and rehabilitation. In this review, we address the contr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nam, Hyo Suk, Park, Eunjeong, Heo, Ji Hoe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korean Stroke Society 2013
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859007/ https://www.ncbi.nlm.nih.gov/pubmed/24396807 http://dx.doi.org/10.5853/jos.2013.15.3.135

Ejemplares similares

Development of Smartphone Application That Aids Stroke Screening and Identifying Nearby Acute Stroke Care Hospitals
por: Nam, Hyo Suk, et al.
Publicado: (2014)

Low Ankle-Brachial Index Is Associated With Stroke Recurrence in Ischemic Stroke Patients With Atrial Fibrillation
por: Han, Minho, et al.
Publicado: (2021)

Impact of interankle blood pressure difference on major adverse cardiovascular events in cryptogenic stroke patients without peripheral artery disease: a retrospective cohort study
por: Han, Minho, et al.
Publicado: (2022)

An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
por: Shin, Soojeong, et al.
Publicado: (2012)

Predicting Stroke Outcomes Using Ankle-Brachial Index and Inter-Ankle Blood Pressure Difference
por: Han, Minho, et al.
Publicado: (2020)

Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients
por: Park, Eunjeong, et al.
Publicado: (2017)

Computed Tomography-Based Thrombus Imaging for the Prediction of Recanalization after Reperfusion Therapy in Stroke
por: Heo, Ji Hoe, et al.
Publicado: (2017)

Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study
por: Park, Eunjeong, et al.
Publicado: (2020)

A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors
por: Park, Eunjeong, et al.
Publicado: (2018)

Pathophysiologic and Therapeutic Perspectives Based on Thrombus Histology in Stroke
por: Heo, Ji Hoe, et al.
Publicado: (2020)

A computerized red glass test for quantifying diplopia
por: Yoo, Han Soo, et al.
Publicado: (2017)

The Paradoxical Protective Effect of Liver Steatosis on Severity and Functional Outcome of Ischemic Stroke
por: Baik, Minyoul, et al.
Publicado: (2019)

Prediction of functional outcome using the novel asymmetric middle cerebral artery index in cryptogenic stroke patients
por: Han, Minho, et al.
Publicado: (2019)

Outcome of Stroke Patients with Cancer and Nonbacterial Thrombotic Endocarditis
por: Yoo, Joonsang, et al.
Publicado: (2020)

Body Mass Index and Prognosis in Ischemic Stroke Patients With Type 2 Diabetes Mellitus
por: Park, Hyungjong, et al.
Publicado: (2019)

Different Thrombus Histology in a Cancer Patient with Deep Vein Thrombosis and Recurrent Strokes
por: Sun, Ye Eun, et al.
Publicado: (2022)

Impact of the Total Number of Carotid Plaques on the Outcome of Ischemic Stroke Patients with Atrial Fibrillation
por: Park, Hyungjong, et al.
Publicado: (2019)

Beneficial Effects of Stroke-Unit Care in Stroke Patients with Atrial Fibrillation
por: Choi, Hye-Yeon, et al.
Publicado: (2013)

Recurrent Cardioembolic Stroke Treated Successfully with Repeated Mechanical Thrombectomy within the Acute Index Stroke Period
por: Lee, Yoonju, et al.
Publicado: (2015)

Clinical Benefit of First-Pass Recanalization Is Time-Dependent in Endovascular Treatment of Acute Ischemic Stroke
por: Baek, Jang-Hyun, et al.
Publicado: (2023)

Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review
por: Sung, Meekang, et al.
Publicado: (2022)

Increasing Frequency and Burden of Cerebral Artery Atherosclerosis in Korean Stroke Patients
por: Kim, Young Dae, et al.
Publicado: (2010)

Relationship Between Sleep Apnea and Coronary Artery Calcium in Patients With Ischemic Stroke
por: Cho, Kyoo Ho, et al.
Publicado: (2019)

The Computerized Table Setting Test for Detecting Unilateral Neglect
por: Chung, Seok Jong, et al.
Publicado: (2016)

Diabetes Management Using Modern Information and Communication Technologies and New Care Models
por: Spanakis, Emmanouil G, et al.
Publicado: (2012)

Preprocedural D-Dimer Level as a Predictor of First-Pass Recanalization and Functional Outcome in Endovascular Treatment of Acute Ischemic Stroke
por: Baek, Jang-Hyun, et al.
Publicado: (2023)

Association of clot ultrastructure with clot perviousness in stroke patients
por: Kim, Young Dae, et al.
Publicado: (2023)

How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods
por: Zeleňák, Kamil, et al.
Publicado: (2021)

Long-Term Mortality According to the Characteristics of Early Neurological Deterioration in Ischemic Stroke Patients
por: Kim, Young Dae, et al.
Publicado: (2014)

Elevation of the Gut Microbiota Metabolite Trimethylamine N-Oxide Predicts Stroke Outcome
por: Nam, Hyo Suk, et al.
Publicado: (2019)

European Conference on the Use of Modern Information and Communication Technologies
por: Strycker, Lieven
Publicado: (2014)

Impact of Temporary Opening Using a Stent Retriever on Clinical Outcome in Acute Ischemic Stroke
por: Song, Dongbeom, et al.
Publicado: (2015)

Gut Microbiota and Ischemic Stroke: The Role of Trimethylamine N-Oxide
por: Nam, Hyo Suk
Publicado: (2019)

Non-cardioembolic risk factors in atrial fibrillation-associated ischemic stroke
por: Yang, Pil-Sung, et al.
Publicado: (2018)

Patent Foramen Ovale May Decrease the Risk of Left Atrial Thrombosis in Stroke Patients With Atrial Fibrillation
por: Baik, Minyoul, et al.
Publicado: (2023)

Modern Rehabilitation Technologies of Patients with Motor Disorders at an Early Rehabilitation of Stroke (Review)
por: Khrulev, A.E., et al.
Publicado: (2022)

Incremental Value of Left Atrial Global Longitudinal Strain for Prediction of Post Stroke Atrial Fibrillation in Patients with Acute Ischemic Stroke
por: Kim, Darae, et al.
Publicado: (2016)

Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility Study
por: Park, Eunjeong, et al.
Publicado: (2022)

Improving the Use of Blockchain Technology in Stroke Care Information Management Systems
por: Yang, Yuying, et al.
Publicado: (2022)

Process Improvement to Enhance Existing Stroke Team Activity Toward More Timely Thrombolytic Treatment
por: Cho, Han-Jin, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_kqls6u8k9vms36qffctp3158vc