AIMC Topic: Primary Health Care

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Diabetic Retinopathy Screening with Automated Retinal Image Analysis in a Primary Care Setting Improves Adherence to Ophthalmic Care.

Ophthalmology. Retina Jun 17, 2020
PURPOSE: Retinal screening examinations can prevent vision loss resulting from diabetes but are costly and highly underused. We hypothesized that artificial intelligence-assisted nonmydriatic point-of-care screening administered during primary care v...
Humans Diabetic Retinopathy Artificial Intelligence Prospective Studies Image Processing, Computer-Assisted Mass Screening Follow-Up Studies Retina Ambulatory Care Facilities Female Male Middle Aged Primary Health Care
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Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association.

Yearbook of medical informatics Apr 17, 2020
OBJECTIVE: To create practical recommendations for the curation of routinely collected health data and artificial intelligence (AI) in primary care with a focus on ensuring their ethical use.
Medical Records Systems, Computerized Ethics, Medical Data Accuracy Information Dissemination Medical Informatics Humans Artificial Intelligence Electronic Health Records Primary Health Care
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Regional Variations in Documentation of Sexual Trauma Concepts in Electronic Medical Records in the United States Veterans Health Administration.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but are not systematically documented in electronic health records (EHR). To describe variations in how sexual trauma is documented in the Veterans Health ...
United States Mental Health Services Natural Language Processing Documentation Military Personnel Adult Male Child Primary Health Care United States Department of Veterans Affairs Veterans Sex Offenses Humans Disclosure Electronic Health Records Female
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Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning.

International journal of environmental research and public health Feb 9, 2020
: The primary care service in Catalonia has operated an asynchronous teleconsulting service between GPs and patients since 2015 (eConsulta), which has generated some 500,000 messages. New developments in big data analysis tools, particularly those in...
Health Personnel Primary Health Care Supervised Machine Learning Remote Consultation Humans Spain Artificial Intelligence Algorithms
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A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support.

International journal of medical informatics Dec 30, 2019
BACKGROUND: To explore attitudes about artificial intelligence (AI) among staff who utilized AI-based clinical decision support (CDS).
Ambulatory Care Facilities Surveys and Questionnaires Quality Improvement Physicians, Primary Care Primary Health Care Glycemic Index Humans Decision Support Systems, Clinical Health Plan Implementation Artificial Intelligence Diabetes Mellitus Software Health Personnel
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Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).

BMC medical informatics and decision making Dec 3, 2019
BACKGROUND: The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications technologies are the main factors...
Spain Smoking Cessation Cell Phone Pragmatic Clinical Trials as Topic Software Female Adult Male Primary Health Care Mobile Applications Multicenter Studies as Topic Telemedicine Smoking Humans Artificial Intelligence
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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Risk Assessment Case-Control Studies Dementia Primary Health Care Computational Biology Electronic Health Records Female Aged Male Logistic Models State Medicine Support Vector Machine Bayes Theorem United Kingdom
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Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.

Journal of biomedical semantics Nov 12, 2019
BACKGROUND: Free text in electronic health records (EHR) may contain additional phenotypic information beyond structured (coded) information. For major health events - heart attack and death - there is a lack of studies evaluating the extent to which...
Data Mining United Kingdom Pilot Projects Primary Health Care Natural Language Processing Myocardial Infarction Humans Phenotype Electronic Health Records
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Predicting atrial fibrillation in primary care using machine learning.

PloS one Nov 1, 2019
BACKGROUND: Atrial fibrillation (AF) is the most common sustained heart arrhythmia. However, as many cases are asymptomatic, a large proportion of patients remain undiagnosed until serious complications arise. Efficient, cost-effective detection of t...
Age Factors Blood Pressure Antihypertensive Agents Atrial Fibrillation Middle Aged Neural Networks, Computer Risk Assessment Machine Learning Aged Primary Health Care Retrospective Studies Adult Body Mass Index Female Male Risk Factors Humans Cardiovascular Diseases
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Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Humans Neural Networks, Computer Machine Learning Electronic Health Records Female Heart Failure Early Diagnosis Smoking Alcohol Drinking California Vital Signs Incidence Reproducibility of Results Time Factors Risk Factors Primary Health Care Male Longitudinal Studies Diagnosis, Computer-Assisted Predictive Value of Tests
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