AIMC Topic: Primary Health Care
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Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.
BMJ open
May 21, 2025
INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority, for which the clinical and cost-effectiveness of an artificial intelligence-enabled stethoscope that detects left ventricular systolic dysfunction, a...
Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.
Studies in health technology and informatics
May 15, 2025
Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim of this study was to characterise, using descriptive statistics, the sociodemographic, risk and clinical characteristics of who develops pancreatic can...
Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVE: Artificial Intelligence (AI)-based approaches for extracting Social Drivers of Health (SDoH) from clinical notes offer healthcare systems an efficient way to identify patients' social needs, yet we know little about the acceptability of th...
The Evolving Landscape of Primary Healthcare: Exploring AI Readiness of the Dutch General Practitioners.
Studies in health technology and informatics
Apr 8, 2025
This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), p...
Artificial Intelligence Scribes Shape Health Care Delivery.
American family physician
Apr 1, 2025
Although most physicians are interested in the use of augmented or artificial intelligence (AI) in health care, only 38% are using AI in their practices.1 Initial results from AI integrated organizations show that AI scribe programs significantly dec...
Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.
Medicine
Mar 21, 2025
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and critical position within the healthcare system. This study, as one of the most detailed investigations into cancer research in primary care, comprehen...
Empowering Health: Model for Sustainable AI Implementation.
Studies in health technology and informatics
Feb 18, 2025
OntarioMD (OMD), a leader in digital health, focuses on harnessing artificial intelligence (AI) technologies to reduce administrative burden and enhance patient care in primary care. Building on 20 years of digital health experience, OMD has establis...
TWINVAX: conceptual model of a digital twin for immunisation services in primary health care.
Frontiers in public health
Jan 1, 2025
INTRODUCTION: This paper presents a proposal for the modelling and reference architecture of a digital twin for immunisation services in primary health care centres. The system leverages Industry 4.0 concepts and technologies, such as the Internet of...
Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.
PloS one
Jan 1, 2025
BACKGROUND: Post-COVID conditions (PCC) have proven difficult to diagnose. In this retrospective observational study, we aimed to characterize the level of variation in PCC diagnoses observed across clinicians from a number of methodological angles a...
Primary care research on hypertension: A bibliometric analysis using machine-learning.
Medicine
Nov 22, 2024
Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical condition encountered frequently in daily life, forming a significant area of service in Primary Health Care (PHC), which healthcare professionals often ...
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