Cargando…

Feasibility and impact of a computerised clinical decision support system on investigation and initial management of new onset chest pain: a mixed methods study

BACKGROUND: Clinical decision support systems (CDSS) can modify clinician behaviour, yet the factors influencing their effect remain poorly understood. This study assesses the feasibility and acceptability of a CDSS supporting diagnostic and treatment decisions for patients with suspected stable ang...

Descripción completa

Detalles Bibliográficos
Autores principales:	Johnson, Rachel, Evans, Maggie, Cramer, Helen, Bennert, Kristina, Morris, Richard, Eldridge, Sandra, Juttner, Katy, Zaman, Mohammed J, Hemingway, Harry, Denaxas, Spiros, Timmis, Adam, Feder, Gene
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550063/ https://www.ncbi.nlm.nih.gov/pubmed/26307007 http://dx.doi.org/10.1186/s12911-015-0189-8

Ejemplares similares

Treading carefully: a qualitative ethnographic study of the clinical, social and educational uses of exercise ECG in evaluating stable chest pain
por: Cramer, Helen, et al.
Publicado: (2012)

Is access to specialist assessment of chest pain equitable by age, gender, ethnicity and socioeconomic status? An enhanced ecological analysis
por: Sekhri, Neha, et al.
Publicado: (2012)

Aligning the planets: The role of nurses in the care of patients with non‐ST elevation myocardial infarction
por: Deaton, Christi, et al.
Publicado: (2016)

Socioeconomic Deprivation and the Incidence of 12 Cardiovascular Diseases in 1.9 Million Women and Men: Implications for Risk Prediction and Prevention
por: Pujades-Rodriguez, Mar, et al.
Publicado: (2014)

‘Who does this patient belong to?’ boundary work and the re/making of (NSTEMI) heart attack patients
por: Cramer, Helen, et al.
Publicado: (2018)

A 10-year prognostic model for patients with suspected angina attending a chest pain clinic
por: Sekhri, Neha, et al.
Publicado: (2016)

Association between clinical presentations before myocardial infarction and coronary mortality: a prospective population-based study using linked electronic records
por: Herrett, Emily, et al.
Publicado: (2014)

Prognosis of undiagnosed chest pain: linked electronic health record cohort study
por: Jordan, Kelvin P, et al.
Publicado: (2017)

Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients
por: Rapsomaniki, Eleni, et al.
Publicado: (2014)

Incremental prognostic value of the exercise electrocardiogram in the initial assessment of patients with suspected angina: cohort study
por: Sekhri, Neha, et al.
Publicado: (2008)

Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes
por: Herrett, Emily, et al.
Publicado: (2013)

Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study
por: Herrett, Emily, et al.
Publicado: (2013)

Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients
por: George, Julie, et al.
Publicado: (2017)

Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data
por: Katsoulis, Michail, et al.
Publicado: (2017)

Influenza Infection and Risk of Acute Myocardial Infarction in England and Wales: A CALIBER Self-Controlled Case Series Study
por: Warren-Gash, Charlotte, et al.
Publicado: (2012)

Heterogeneous associations between smoking and a wide range of initial presentations of cardiovascular disease in 1 937 360 people in England: lifetime risks and implications for risk prediction
por: Pujades-Rodriguez, Mar, et al.
Publicado: (2015)

How Does Cardiovascular Disease First Present in Women and Men?: Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1 937 360 People
por: George, Julie, et al.
Publicado: (2015)

Understanding tensions and identifying clinician agreement on improvements to early-stage chronic kidney disease monitoring in primary care: a qualitative study
por: Simmonds, Rosemary, et al.
Publicado: (2016)

Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study
por: Brauer, Ruth, et al.
Publicado: (2015)

Time spent at blood pressure target and the risk of death and cardiovascular diseases
por: Chung, Sheng-Chia, et al.
Publicado: (2018)

Models for mortality require tailoring in the context of the COVID-19 pandemic – Authors' reply
por: Banerjee, Amitava, et al.
Publicado: (2020)

Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people
por: Shah, Anoop Dinesh, et al.
Publicado: (2015)

Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)
por: Denaxas, Spiros C, et al.
Publicado: (2012)

Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study
por: Shah, Anoop Dinesh, et al.
Publicado: (2016)

Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study
por: Shah, Anoop Dinesh, et al.
Publicado: (2017)

Threshold Haemoglobin Levels and the Prognosis of Stable Coronary Disease: Two New Cohorts and a Systematic Review and Meta-Analysis
por: Shah, Anoop D., et al.
Publicado: (2011)

Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records
por: Pikoula, Maria, et al.
Publicado: (2019)

Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
por: Shah, Anoop D., et al.
Publicado: (2019)

Long‐Term Cardiovascular Risk and Management of Patients Recorded in Primary Care With Unattributed Chest Pain: An Electronic Health Record Study
por: Jordan, Kelvin P., et al.
Publicado: (2022)

Emergency department attendance after telephone triage
por: Denaxas, Spiros, et al.
Publicado: (2017)

Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals
por: Zhang, Ruiqi, et al.
Publicado: (2022)

Correction to: Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals
por: Zhang, Ruiqi, et al.
Publicado: (2022)

Feasibility and Acceptability of Computerised Cognitive Training of Everyday Cognition in Parkinson's Disease
por: Smith, S. J., et al.
Publicado: (2019)

Defining Disease Phenotypes Using National Linked Electronic Health Records: A Case Study of Atrial Fibrillation
por: Morley, Katherine I., et al.
Publicado: (2014)

Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study
por: Jordan, Kelvin P, et al.
Publicado: (2023)

Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
por: Steele, Andrew J., et al.
Publicado: (2018)

White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
por: Shah, Anoop Dinesh, et al.
Publicado: (2017)

Cost-effectiveness analysis of lung cancer screening with low-dose computerised tomography of the chest in Poland
por: Kanarkiewicz, Małgorzata, et al.
Publicado: (2015)

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning
por: Wang, Zhuoran, et al.
Publicado: (2012)

The sensitivity and specificity of four questions (HARK) to identify intimate partner violence: a diagnostic accuracy study in general practice
por: Sohal, Hardip, et al.
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_ehn2ehf5btdplc9s1f1g139dea